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  • IT'S MY PLEASURE TO

  • IT'S MY PLEASURE TO INTRODUCE THE EXECUTIVE VICE

  • INTRODUCE THE EXECUTIVE VICE PRESIDENT OF THE A.I. AND

  • PRESIDENT OF THE A.I. AND RESEARCH TEAM AT MICROSOFT, DR.

  • RESEARCH TEAM AT MICROSOFT, DR. HARRY SHUM.

  • HARRY SHUM. [ APPLAUSE ]

  • [ APPLAUSE ] >> THANK YOU VERY MUCH.

  • >> THANK YOU VERY MUCH. HELLO, EVERYONE.

  • HELLO, EVERYONE. GOOD AFTERNOON.

  • GOOD AFTERNOON. THANK YOU FOR JOINING US TODAY

  • THANK YOU FOR JOINING US TODAY HERE IN SAN FRANCISCO.

  • HERE IN SAN FRANCISCO. EXACTLY A YEAR AGO AT SAN

  • EXACTLY A YEAR AGO AT SAN FRANCISCO, WE INTRODUCED THE NEW

  • FRANCISCO, WE INTRODUCED THE NEW DIVISION OF MICROSOFT CALLED THE

  • DIVISION OF MICROSOFT CALLED THE MICROSOFT A.I. AND RESEARCH.

  • MICROSOFT A.I. AND RESEARCH. AND WE ACTUALLY HAVE THE MISSION

  • AND WE ACTUALLY HAVE THE MISSION TO DEMOCRATIZE A.I. FOR

  • TO DEMOCRATIZE A.I. FOR EVERYONE.

  • EVERYONE. SO IT HAS BEEN A VERY EXCITING

  • SO IT HAS BEEN A VERY EXCITING YEAR IN -- YEAR.

  • YEAR IN -- YEAR. 2017 HAS BEEN DELIVERED TO BE AN

  • 2017 HAS BEEN DELIVERED TO BE AN EXCITING YEAR.

  • EXCITING YEAR. SO I'M HERE TO SHARE SOME OF THE

  • SO I'M HERE TO SHARE SOME OF THE PROGRESS WITH YOU, I APPRECIATE

  • PROGRESS WITH YOU, I APPRECIATE THIS OPPORTUNITY TO SHOW YOU

  • THIS OPPORTUNITY TO SHOW YOU ESPECIALLY SOME VERY PRACTICAL

  • ESPECIALLY SOME VERY PRACTICAL WAYS THAT A.I. IS HELPING

  • WAYS THAT A.I. IS HELPING EVERYONE TO IMPROVE OUR LIVES.

  • EVERYONE TO IMPROVE OUR LIVES. EVERYONE IS TALKING ABOUT A.I.

  • EVERYONE IS TALKING ABOUT A.I. NOWADAYS, BUT A.I. IS REALLY NOT

  • NOWADAYS, BUT A.I. IS REALLY NOT NEW.

  • NEW. A.I. IS SOMETHING, REALLY THE

  • A.I. IS SOMETHING, REALLY THE ULTIMATE GOAL THAT IN THE MINDS

  • ULTIMATE GOAL THAT IN THE MINDS PEOPLE LIKE ALAN TOURING, THOSE

  • PEOPLE LIKE ALAN TOURING, THOSE PEOPLE IMAGINE THAT SOMEDAY IF

  • PEOPLE IMAGINE THAT SOMEDAY IF WE HAVE THIS UNBELIEVABLE

  • WE HAVE THIS UNBELIEVABLE COMPUTING POWER, WHAT COULD WE

  • COMPUTING POWER, WHAT COULD WE DEALER.

  • DEALER. THE FIRST THING ALAN TOURING

  • THE FIRST THING ALAN TOURING REALIZED IMAGINING DOING A.I. IS

  • REALIZED IMAGINING DOING A.I. IS MIMICKING HUMG

  • REALIZED IMAGINING DOING A.I. IS MIMICKING HUMAN INTELLIGENCE.

  • MIMICKING HUMAN INTELLIGENCE. AND MICROSOFT, OUR VERY OWN BILL

  • AND MICROSOFT, OUR VERY OWN BILL GATES, WHEN HE CREATED MICROSOFT

  • GATES, WHEN HE CREATED MICROSOFT RESEARCH 26 YEARS AGO, HE

  • RESEARCH 26 YEARS AGO, HE IMAGINED THAT SOMEDAY COMPUTERS

  • IMAGINED THAT SOMEDAY COMPUTERS COULD SEE, HEAR, TALK, AND

  • COULD SEE, HEAR, TALK, AND UNDERSTAND WHA

  • COULD SEE, HEAR, TALK, AND UNDERSTAND WHUMAN BEINGS.

  • UNDERSTAND WHUMAN BEINGS. THAT'S A.I.

  • THAT'S A.I. AND A.I. IS HAPPENING NOW FAST.

  • AND A.I. IS HAPPENING NOW FAST. YOU KNOW, WHY IS THAT?

  • YOU KNOW, WHY IS THAT? TO ME IT'S THREE FORCES CONVERG

  • YOU KNOW, WHY IS THAT? TO ME IT'S THREE FORCES CON

  • TO ME IT'S THREE FORCES CON CONVERGING TO MAKE THIS HAPPEN.

  • CONVERGING TO MAKE THIS HAPPEN. IT'S THE BIG BETA.

  • IT'S THE BIG BETA. I'M ALWAYS AWARE -- WHETHER IT'S

  • I'M ALWAYS AWARE -- WHETHER IT'S

  • IoT AND EVERYTHING, AND MASSIVE COMPUTING POWER WITH THE CLOUD.

  • COMPUTING POWER WITH THE CLOUD. MOST RECENTLY THE BREAKTHROUGH

  • MOST RECENTLY THE BREAKTHROUGH ALGORITHMS LIKE DEEP LEARNING

  • ALGORITHMS LIKE DEEP LEARNING THAT MOVED A.I. FROM THE LAST TO

  • THAT MOVED A.I. FROM THE LAST TO THE MAINSTREAM.

  • THE MAINSTREAM. TODAY WE'LL TALK ABOUT THE

  • TODAY WE'LL TALK ABOUT THE EVERYDAY A.I.

  • EVERYDAY A.I. A.I. IS AVAILABLE TO EVERYONE

  • A.I. IS AVAILABLE TO EVERYONE EVERYWHERE, AND WHATEVER YOU DO

  • EVERYWHERE, AND WHATEVER YOU DO IN YOUR PERSONAL AND THE

  • IN YOUR PERSONAL AND THE PROFESSIONAL LIFE.

  • PROFESSIONAL LIFE. SO HOW A.I.'S GOING TO HELP.

  • SO HOW A.I.'S GOING TO HELP. BUT IN MANY WAYS, IF YOU READ

  • BUT IN MANY WAYS, IF YOU READ THE PRESS, A.I. HAS GOTTEN A BAD

  • THE PRESS, A.I. HAS GOTTEN A BAD REPUTATION BECAUSE MUCH OF THE

  • REPUTATION BECAUSE MUCH OF THE A.I. DISCUSSION IS ABOUT HUMANS

  • A.I. DISCUSSION IS ABOUT HUMANS VERSUS MACHINES.

  • VERSUS MACHINES. BUT NOT ENOUGH ABOUT A.I.

  • BUT NOT ENOUGH ABOUT A.I. POSSIBILITIES.

  • POSSIBILITIES. WE KNOW A.I. WILL TRANSFORM

  • WE KNOW A.I. WILL TRANSFORM EVERY BUSINESS, HELP IN EVERY

  • EVERY BUSINESS, HELP IN EVERY LIFE, AND POTENTIALLY SOLVE SOME

  • LIFE, AND POTENTIALLY SOLVE SOME SOCIETAL CHALLENGES THAT WE ALL

  • SOCIETAL CHALLENGES THAT WE ALL FACE.

  • FACE. YOU MIGHT ASK THAT, THAT'S

  • YOU MIGHT ASK THAT, THAT'S GREAT, BUT WHAT ABOUT MICROSOFT

  • GREAT, BUT WHAT ABOUT MICROSOFT A.I.?

  • A.I.? WE BELIEVE THAT A.I. COMES DOWN

  • WE BELIEVE THAT A.I. COMES DOWN TO ONE THING -- PEOPLE.

  • TO ONE THING -- PEOPLE. A.I. WILL AMPLIFY HUMAN

  • A.I. WILL AMPLIFY HUMAN INGENUITY MAKING PEOPLE THE

  • INGENUITY MAKING PEOPLE THE HEROES AND DRIVING A HEALTHY

  • HEROES AND DRIVING A HEALTHY CONNECTION BETWEEN HUMANS AND

  • CONNECTION BETWEEN HUMANS AND THE MACHINES.

  • THE MACHINES. THAT'S WHAT WE BELIEVE AT

  • THAT'S WHAT WE BELIEVE AT MICROSOFT.

  • MICROSOFT. AFTER ALL, THAT'S REALLY ABOUT

  • AFTER ALL, THAT'S REALLY ABOUT MICROSOFT'S MISSION THAT IS

  • MICROSOFT'S MISSION THAT IS EMPOWER EVERY PERSON AND EVERY

  • EMPOWER EVERY PERSON AND EVERY ORGANIZATION ON THE PLANET TO

  • ORGANIZATION ON THE PLANET TO ACHIEVE MORE.

  • ACHIEVE MORE. NOW I WOULD EVEN ADD WITH A.I.

  • NOW I WOULD EVEN ADD WITH A.I. IT'S A POWERFUL MISSION.

  • IT'S A POWERFUL MISSION. NOT TOO LONG AGO, SATYA SHARED

  • NOT TOO LONG AGO, SATYA SHARED OUR WORLD VIEW, THAT IS THE

  • OUR WORLD VIEW, THAT IS THE INTELLIGENT CLOUD AND THE

  • INTELLIGENT CLOUD AND THE INTELLIGENT EDGE INFUSED BY A.I.

  • INTELLIGENT EDGE INFUSED BY A.I. IN A WAY IT'S ABOUT COMPUTING

  • IN A WAY IT'S ABOUT COMPUTING AND INTELLIGENCE FINALLY

  • AND INTELLIGENCE FINALLY HAPPENING WITH P.C

  • AND INTELLIGENCE FINALLY HAPPENING WITH P. KRMP

  • AND INTELLIGENCE FINALLY HAPPENING WITH P. KC. PHONES, AD

  • AND INTELLIGENCE FINALLY HAPPENING WITH P. KC. PHONES, A

  • HAPPENING WITH P. KC. PHONES, A THE IoT DEVICES.

  • THE IoT DEVICES. IMAGINE THAT YOU WALK INTO ANY

  • IMAGINE THAT YOU WALK INTO ANY ROOM, YOU KNOW, YOU WALK TO YOUR

  • ROOM, YOU KNOW, YOU WALK TO YOUR SPEAKER, YOU WALK TO A SCREEN.

  • SPEAKER, YOU WALK TO A SCREEN. YOU DON'T REALIZE THOSE THINGS

  • YOU DON'T REALIZE THOSE THINGS ARE HAPPENING, EXISTING IN THE

  • ARE HAPPENING, EXISTING IN THE ROOM.

  • ROOM. THEN YOU CAN ALREADY, YOU KNOW,

  • THEN YOU CAN ALREADY, YOU KNOW, TALK TO CORTANA TO GET THINGS

  • TALK TO CORTANA TO GET THINGS DONE.

  • DONE. YOU KNOW, MAYBE ACROSS THE ROOM

  • YOU KNOW, MAYBE ACROSS THE ROOM WITH THE HELP OF THE VIEW OF THE

  • WITH THE HELP OF THE VIEW OF THE -- WITHOUT THE VIEW OF THE

  • -- WITHOUT THE VIEW OF THE CAMERAS AND SPEAKERS.

  • CAMERAS AND SPEAKERS. OUR GOAL IS TO HELP EVERYONE

  • OUR GOAL IS TO HELP EVERYONE EVERYWHERE AND THAT TAKE

  • EVERYWHERE AND THAT TAKE ADVANTAGE OF A.I. EVERY DAY.

  • ADVANTAGE OF A.I. EVERY DAY. THAT'S EXACTLY WHY SATYA AND I

  • THAT'S EXACTLY WHY SATYA AND I CREATED IT, OUR A.I. IN THE

  • CREATED IT, OUR A.I. IN THE RESEARCH DIVISION, AND A LITTLE

  • RESEARCH DIVISION, AND A LITTLE OVER A YEAR AGO.

  • OVER A YEAR AGO. IT HAS BEEN AN EXCITING YEAR AND

  • IT HAS BEEN AN EXCITING YEAR AND WITH RESEARCHERS AND ENGINEERS

  • WITH RESEARCHERS AND ENGINEERS WORKING TOGETHER CLOSELY, WE'RE

  • WORKING TOGETHER CLOSELY, WE'RE MAKING GREATER PROGRESS, IN

  • MAKING GREATER PROGRESS, IN PARTICULAR WE'RE LEVERAGING

  • PARTICULAR WE'RE LEVERAGING TALENT AND TECHNOLOGY COMING OUT

  • TALENT AND TECHNOLOGY COMING OUT OF OUR MICROSOFT RESEARCH LABS

  • OF OUR MICROSOFT RESEARCH LABS BY ACCELERATING THE CYCLE FROM

  • BY ACCELERATING THE CYCLE FROM RESEARCH TO THE PRODUCT.

  • RESEARCH TO THE PRODUCT. TAKE A QUICK LOOK AT THE VIDEO

  • TAKE A QUICK LOOK AT THE VIDEO ABOUT SOME EXCITING THINGS THAT

  • ABOUT SOME EXCITING THINGS THAT WE HAVE BEEN DOING LAST YEAR.

  • WE HAVE BEEN DOING LAST YEAR. [ NO AUDIO ]

  • [ NO AUDIO ] HOW WE HELP PEOPLE WITHOUT

  • HOW WE HELP PEOPLE WITHOUT VOICES, HOW THEY CAN COMMUNICATE

  • VOICES, HOW THEY CAN COMMUNICATE WITHOUT A.I.

  • WITHOUT A.I. CLEARLY I COULD USE SOME HELP

  • CLEARLY I COULD USE SOME HELP HERE, TOO.

  • HERE, TOO. YEAH.

  • YEAH. >> IN THE MIDDLE OF OUR PRODUCTS

  • >> IN THE MIDDLE OF OUR PRODUCTS INTO THE HANDS --

  • INTO THE HANDS -- ♪

  • ♪ >> IT'S GREAT TO SEE IDEAS AND

  • >> IT'S GREAT TO SEE IDEAS AND TECHNOLOGIES THAT HAVE COME

  • TECHNOLOGIES THAT HAVE COME SMACK IN THE MIDDLE OF OUR

  • SMACK IN THE MIDDLE OF OUR PRODUCTS AND INTO THE HANDS OF

  • PRODUCTS AND INTO THE HANDS OF OUR USERS.

  • OUR USERS. >> YOU HAVE LUNCH WITH TONY AT

  • >> YOU HAVE LUNCH WITH TONY AT C.J.'S FROM 12:30 TO 1:30 P.M.

  • C.J.'S FROM 12:30 TO 1:30 P.M. >> IT'S CHANGING THE WAY THAT WE

  • >> IT'S CHANGING THE WAY THAT WE WORK WITH THE LAND, AND IT'S

  • WORK WITH THE LAND, AND IT'S CHANGING THE WAY THE LAND WORKS

  • CHANGING THE WAY THE LAND WORKS FOR US.

  • FOR US. >> TALK AND LOOK IS NOT

  • >> TALK AND LOOK IS NOT ELIGIBLE.

  • ELIGIBLE. HOLD STEADY.

  • HOLD STEADY. LEASE AGREEMENT.

  • ♪ >> HEY, CORTANA?

  • >> HEY, CORTANA? WHAT'S MY SCHEDULE TODAY?

  • WHAT'S MY SCHEDULE TODAY? >> A.I. IS GOING TO CHANGE

  • >> A.I. IS GOING TO CHANGE EVERYDAY LIFE.

  • EVERYDAY LIFE. OUR GOAL IS THAT WE MAKE IT A

  • OUR GOAL IS THAT WE MAKE IT A LOT BETTER FOR PEOPLE.

  • LOT BETTER FOR PEOPLE. ♪

  • ♪ >> THIS IS, OF COURSE, A SMALL

  • >> THIS IS, OF COURSE, A SMALL SAMPLE OF SO MANY THINGS

  • SAMPLE OF SO MANY THINGS HAPPENING IN MICROSOFT WITH A.I.

  • HAPPENING IN MICROSOFT WITH A.I. AND R.

  • AND R. I WANT TO EXPLAIN THE AREAS THAT

  • I WANT TO EXPLAIN THE AREAS THAT WE ACTUALLY MAKE INVESTMENTS.

  • WE ACTUALLY MAKE INVESTMENTS. THERE ARE FIVE THINGS WE DO WITH

  • THERE ARE FIVE THINGS WE DO WITH MICROSOFT A.I. AND R.

  • MICROSOFT A.I. AND R. AND WE STARTED WITH MICROSOFT

  • AND WE STARTED WITH MICROSOFT RESEARCH.

  • RESEARCH. THERE WAS A LOT OF

  • THERE WAS A LOT OF GROUNDBREAKING A.I. TECHNOLOGY

  • GROUNDBREAKING A.I. TECHNOLOGY THERE THAT WOULD BUILD A LOT OF

  • THERE THAT WOULD BUILD A LOT OF A.I. PRODUCTS.

  • A.I. PRODUCTS. LIKE PRODUCTS LIKE BING AND

  • LIKE PRODUCTS LIKE BING AND CORTANA HELPING YOU WITH

  • CORTANA HELPING YOU WITH EVERYDAY LIFE.

  • EVERYDAY LIFE. AND INFUSING A.I. INTO ALL

  • AND INFUSING A.I. INTO ALL MICROSOFT PRODUCTS, YOU KNOW,

  • MICROSOFT PRODUCTS, YOU KNOW, WITH WINDOWS OFFICE AND MANY

  • WITH WINDOWS OFFICE AND MANY OTHERS.

  • OTHERS. AND THE PLATFORMS IS TRULY A

  • AND THE PLATFORMS IS TRULY A CLOUD IN THE A.I. PLATFORM THAT

  • CLOUD IN THE A.I. PLATFORM THAT CAN HELP MICROSOFT DEVELOPERS TO

  • CAN HELP MICROSOFT DEVELOPERS TO REVIEW THEIR A.I. APPLICATIONS.

  • REVIEW THEIR A.I. APPLICATIONS. AND WE ALSO SEE INCDIBLE

  • AND WE ALSO SEE INCDIBLE OPPORTUNITIES THERE WITH A.I.

  • OPPORTUNITIES THERE WITH A.I. SOLUTIONS.

  • SOLUTIONS. PRACTICALLY EVERY VERTICAL

  • PRACTICALLY EVERY VERTICAL INDUSTRY WILL BE DISRUPTED,

  • INDUSTRY WILL BE DISRUPTED, WHETHER IT'S HEALTH CARE OR

  • WHETHER IT'S HEALTH CARE OR TRANSPORTATION.

  • TRANSPORTATION. AND EVERY HORIZONTAL BUSINESSES

  • AND EVERY HORIZONTAL BUSINESSES PROCESS, WHETHER MARKETING,

  • PROCESS, WHETHER MARKETING, SALES, CUSTOMER SUPPORT, WILL BE

  • SALES, CUSTOMER SUPPORT, WILL BE DISRUPTED BY A.I.

  • DISRUPTED BY A.I. WE'LL SEE INCREDIBLE

  • WE'LL SEE INCREDIBLE OPPORTUNITIES THERE.

  • OPPORTUNITIES THERE. LET ME FIRST OF ALL SHOW YOU A

  • LET ME FIRST OF ALL SHOW YOU A FEW HIGHLIGHTS OF THE COOLEST

  • FEW HIGHLIGHTS OF THE COOLEST TECHNOLOGY WE'VE DEVELOPED FROM

  • TECHNOLOGY WE'VE DEVELOPED FROM MICROSOFT RESEARCH, GETTING INTO

  • MICROSOFT RESEARCH, GETTING INTO THE REAL PRODUCTS.

  • THE REAL PRODUCTS. THE FIRST EXAMPLE I WANT TO TALK

  • THE FIRST EXAMPLE I WANT TO TALK ABOUT IS ON SPEECH RECOGNITION.

  • ABOUT IS ON SPEECH RECOGNITION. JUST A FEW MONTHS AGO, WE

  • JUST A FEW MONTHS AGO, WE ANNOUNCED THAT FOR THE FIRST

  • ANNOUNCED THAT FOR THE FIRST TIME EVER WE HAVE THE SPEECH

  • TIME EVER WE HAVE THE SPEECH RECOGNITION SYSTEM THAT MATCHES

  • RECOGNITION SYSTEM THAT MATCHES A HUMAN PARITY IN TERMS OF HUMAN

  • A HUMAN PARITY IN TERMS OF HUMAN ERROR RATE.

  • ERROR RATE. THERE'S BEEN A DATA SET IN THE

  • THERE'S BEEN A DATA SET IN THE UNITED STATES CALLED A

  • UNITED STATES CALLED A SWITCHBOARD DATA SET THAT WAS

  • SWITCHBOARD DATA SET THAT WAS INITIALLY SET UP 25 YEARS AGO.

  • INITIALLY SET UP 25 YEARS AGO. THE HUMAN ERROR RATE IS AROUND

  • THE HUMAN ERROR RATE IS AROUND 5.1%.

  • 5.1%. I'M NOT EVEN TALKING ABOUT

  • I'M NOT EVEN TALKING ABOUT ORDINARY HUMANS.

  • ORDINARY HUMANS. I'M TALKING ABOUT THE

  • I'M TALKING ABOUT THE PROFESSIONALS WHO DO TRANSCRIPT.

  • PROFESSIONALS WHO DO TRANSCRIPT. YOU KNOW, WAYS WITH MASSIVE

  • YOU KNOW, WAYS WITH MASSIVE COMPUTING POWER AND THE

  • COMPUTING POWER AND THE BRILLIANCE OF OUR RESEARCH WITH

  • BRILLIANCE OF OUR RESEARCH WITH HUMAN PARITY OF 5.1%.

  • HUMAN PARITY OF 5.1%. IN THE SECOND AREA I WANT TO

  • IN THE SECOND AREA I WANT TO TALK TO YOU IS MACHINE READING

  • TALK TO YOU IS MACHINE READING COMPREHENSION, OUR NATURAL

  • COMPREHENSION, OUR NATURAL LANGUAGE UNDERSTANDING.

  • LANGUAGE UNDERSTANDING. LAST YEAR WE ACQUIRED THIS DEEP

  • LAST YEAR WE ACQUIRED THIS DEEP LEARNING COMPANY CALLED MALUBA.

  • LEARNING COMPANY CALLED MALUBA. THEY DO AMAZING WORK.

  • THEY DO AMAZING WORK. THE READING AND WRITING AND

  • THE READING AND WRITING AND MACHINE READING COMPREHENSION.

  • MACHINE READING COMPREHENSION. YOU WILL SEE MORE ON THE MALUBA

  • YOU WILL SEE MORE ON THE MALUBA TECHNOLOGIES GET INTO THE

  • TECHNOLOGIES GET INTO THE MICROSOFT PRODUCTS IN OFFICE AND

  • MICROSOFT PRODUCTS IN OFFICE AND BING AND OTHER PLACES.

  • BING AND OTHER PLACES. THE THIRD AREA IS SCHEDULE

  • THE THIRD AREA IS SCHEDULE MACHINE TRANSLATION.

  • MACHINE TRANSLATION. WE HAVE BEEN DOING MACHINE

  • WE HAVE BEEN DOING MACHINE TRANSLATION FOR A LONG TIME IN

  • TRANSLATION FOR A LONG TIME IN OUR RESEARCH LABS.

  • OUR RESEARCH LABS. BUT NOW YOU CAN GET THE MACHINE

  • BUT NOW YOU CAN GET THE MACHINE TRANSLATION IN MANY, MANY

  • TRANSLATION IN MANY, MANY PRODUCTS.

  • PRODUCTS. A FEW YEARS AGO, WE SHIPPED THE

  • A FEW YEARS AGO, WE SHIPPED THE MACHINE TRANSLATION.

  • MACHINE TRANSLATION. WE SHIPPED A MICROSOFT

  • WE SHIPPED A MICROSOFT TRANSLATOR IN iOS LAST YEAR AND

  • TRANSLATOR IN iOS LAST YEAR AND MOBILE APPS.

  • MOBILE APPS. AND MONTHS AGO, IT WAS GREA

  • MOBILE APPS. AND MONTHS AGO, IT WAS GR-- WE E

  • AND MONTHS AGO, IT WAS GR-- WE E SHIPPING MACHINE TRANSLATOR IN

  • SHIPPING MACHINE TRANSLATOR IN FLAGSHIP PHONES LIKE MAY 10.

  • FLAGSHIP PHONES LIKE MAY 10. CLEARLY THAT WITH ALL THIS

  • CLEARLY THAT WITH ALL THIS COMPARISON DATA WE SEE THAT WE

  • COMPARISON DATA WE SEE THAT WE NOW HAVE THE MOST ACCURATE

  • NOW HAVE THE MOST ACCURATE MACHINE TRANSLATOR OF ANY MOBILE

  • MACHINE TRANSLATOR OF ANY MOBILE PHONES TODAY.

  • PHONES TODAY. THOSE ARE THE EXCITING THINGS,

  • THOSE ARE THE EXCITING THINGS, YOU KNOW, IN -- YOU RESEARCH

  • YOU KNOW, IN -- YOU RESEARCH WITH THE TECHNOLOGY AND MOVING

  • WITH THE TECHNOLOGY AND MOVING TO MAINSTREAM PRODUCTS.

  • TO MAINSTREAM PRODUCTS. I WANT TO TALK ABOUT A.I. AS

  • I WANT TO TALK ABOUT A.I. AS WELL AND IF ALL THE DEVELOPERS

  • WELL AND IF ALL THE DEVELOPERS COULD USE ALL THOSE COOL

  • COULD USE ALL THOSE COOL TECHNOLOGY THAT WE HAVE IN

  • TECHNOLOGY THAT WE HAVE IN MICROSOFT AND FROM OUR LABS,

  • MICROSOFT AND FROM OUR LABS, WHAT IF WE MAKE THEM AVAILABLE

  • WHAT IF WE MAKE THEM AVAILABLE ESPECIALLY THROUGH OUR CLOUD

  • ESPECIALLY THROUGH OUR CLOUD PLATFORM.

  • PLATFORM. WE ACTUALLY HAVE ONE OF THE MOST

  • WE ACTUALLY HAVE ONE OF THE MOST COMPREHENSIVE CLOUD PLUS A.I.

  • COMPREHENSIVE CLOUD PLUS A.I. PLATFORMS ON THE MARKET.

  • PLATFORMS ON THE MARKET. THERE ARE REALLY THREE PIECES

  • THERE ARE REALLY THREE PIECES THAT I WANTED YOU TO UNDERSTAND

  • THAT I WANTED YOU TO UNDERSTAND AS WE TALK ABOUT A.I. PLATFORMS.

  • AS WE TALK ABOUT A.I. PLATFORMS. THESE ARE SERVICES THAT WE CAN

  • THESE ARE SERVICES THAT WE CAN OFFER AND INFRASTRUCTURE, A.I.

  • OFFER AND INFRASTRUCTURE, A.I. ON DATA AND A.I. COMPUTE.

  • ON DATA AND A.I. COMPUTE. AND ALSO TOOLS LIKE VISUAL

  • AND ALSO TOOLS LIKE VISUAL STUDIO TOOLS, VISUAL STUDIO

  • STUDIO TOOLS, VISUAL STUDIO TOOLS FOR A.I. THAT WE RECENTLY

  • TOOLS FOR A.I. THAT WE RECENTLY SHIPPED, AND WITH LIMITED TIME

  • SHIPPED, AND WITH LIMITED TIME I'M GOING TO MAKE A DEEP DIVE

  • I'M GOING TO MAKE A DEEP DIVE INTO SOME OF THE SERVICES THAT

  • INTO SOME OF THE SERVICES THAT WE ARE ALREADY SHIPPING.

  • WE ARE ALREADY SHIPPING. FIRST OF ALL, I'D LIKE TO SHARE

  • FIRST OF ALL, I'D LIKE TO SHARE THAT MORE THAN 760,000

  • THAT MORE THAN 760,000 DEVELOPERS ARE ALREADY USING

  • DEVELOPERS ARE ALREADY USING MICROSOFT COGNITIVE SERVICES.

  • MICROSOFT COGNITIVE SERVICES. THIS IS TO SET UP WEB APIs,

  • THIS IS TO SET UP WEB APIs, DEVELOPERS CAN TAKE THEM AND

  • DEVELOPERS CAN TAKE THEM AND INTO THEIR OWN APPLICATIONS.

  • INTO THEIR OWN APPLICATIONS. IT'S GREAT TO SEE THE MIX OF THE

  • IT'S GREAT TO SEE THE MIX OF THE HEALTH CARES AND HOW THEY USE

  • HEALTH CARES AND HOW THEY USE MICROSOFT COGNITIVE SERVICES.

  • MICROSOFT COGNITIVE SERVICES. AND WE WANT TO HELP EVERY

  • AND WE WANT TO HELP EVERY DEVELOPER TO BECOME AN A.I.

  • DEVELOPER TO BECOME AN A.I. DEVELOPER.

  • DEVELOPER. AT MICROSOFT, WE USE COGNITIVE

  • AT MICROSOFT, WE USE COGNITIVE SERVICES, TOO, TO CREATE A

  • SERVICES, TOO, TO CREATE A UNIQUE USER EXPERIENCE.

  • UNIQUE USER EXPERIENCE. ONE OF MY FAVORITES IS THIS APP

  • ONE OF MY FAVORITES IS THIS APP CALLED THE SEEING A.I.

  • CALLED THE SEEING A.I. WE LAUNCHED IT IN JULY.

  • WE LAUNCHED IT IN JULY. IT'S AN APP USING COMPUTER

  • IT'S AN APP USING COMPUTER VISION A.I. TECHNOLOGY TO HELP

  • VISION A.I. TECHNOLOGY TO HELP THE BLIND AND THE VISUALLY

  • THE BLIND AND THE VISUALLY IMPAIRED.

  • IMPAIRED. AND IT'S AMAZING TO SEE THAT

  • AND IT'S AMAZING TO SEE THAT MORE THAN 100,000 DOWNLOADS

  • MORE THAN 100,000 DOWNLOADS ALREADY HAPPENED.

  • ALREADY HAPPENED. IT HAS A READING OF 4.8.

  • IT HAS A READING OF 4.8. IT'S TOUCHING TO ME HOW WE CAN

  • IT'S TOUCHING TO ME HOW WE CAN ACTUALLY CREATE APPS THAT PEOPLE

  • ACTUALLY CREATE APPS THAT PEOPLE AGREE ON, AND THERE'S BEEN GREAT

  • AGREE ON, AND THERE'S BEEN GREAT RESPONSE FROM THE COMMUNITY.

  • RESPONSE FROM THE COMMUNITY. TODAY WE HAVE MORE GREAT

  • TODAY WE HAVE MORE GREAT FEATURES FOR THE SEEING A.I. APP

  • FEATURES FOR THE SEEING A.I. APP SUCH AS CURRENCY RECOGNITION,

  • SUCH AS CURRENCY RECOGNITION, LIE DETECTION.

  • LIE DETECTION. I ENCOURAGE YOU TO TAKE TIME

  • I ENCOURAGE YOU TO TAKE TIME AFTER THIS AND STOP BY THE

  • AFTER THIS AND STOP BY THE BOOTHS AND CHECK OUT, AND YOU

  • BOOTHS AND CHECK OUT, AND YOU WILL LEARN THE DESIGN QUESTIONS

  • WILL LEARN THE DESIGN QUESTIONS THERE, HOW YOU CAN EVEN TAKE THE

  • THERE, HOW YOU CAN EVEN TAKE THE TECHNOLOGY TO HELP PEOPLE WHO

  • TECHNOLOGY TO HELP PEOPLE WHO COULDN'T SEE VERY WELL.

  • COULDN'T SEE VERY WELL. MAKES YOU THINK ABOUT THE DESIGN

  • MAKES YOU THINK ABOUT THE DESIGN VERY DIFFERENTLY, LIKE USING

  • VERY DIFFERENTLY, LIKE USING DIFFERENT MODALITIES TO HELP.

  • DIFFERENT MODALITIES TO HELP. THIS IS JUST ONE EXAMPLE.

  • THIS IS JUST ONE EXAMPLE. THE OTHER THING WE FEEL GOOD

  • THE OTHER THING WE FEEL GOOD ABOUT, WE KNOW IT'S HELPFUL TO

  • ABOUT, WE KNOW IT'S HELPFUL TO DEVELOPERS IS THAT AMONG ALL

  • DEVELOPERS IS THAT AMONG ALL THOSE APIs WE ALREADY SHIPPED,

  • THOSE APIs WE ALREADY SHIPPED, ONE IS CALLED LANGUAGE

  • ONE IS CALLED LANGUAGE UNDERSTANDING SERVICE.

  • UNDERSTANDING SERVICE. THAT IS REALLY, REALLY GETTING

  • THAT IS REALLY, REALLY GETTING VERY, VERY POPULAR.

  • VERY, VERY POPULAR. THE CUSTOMERS LIKE IT, DIXON,

  • THE CUSTOMERS LIKE IT, DIXON, SABRE, HUMANE DIRECT.

  • SABRE, HUMANE DIRECT. WE APPRECIATE THEIR HELP GIVING

  • WE APPRECIATE THEIR HELP GIVING US THE FEEDBACK AND HELPING US

  • US THE FEEDBACK AND HELPING US TO GET TO CERTAIN QUALITY TODAY.

  • TO GET TO CERTAIN QUALITY TODAY. I'M HAPPY TO ANNOUNCE THAT G.A.

  • I'M HAPPY TO ANNOUNCE THAT G.A. IS GENERALLY AVAILABLE.

  • IS GENERALLY AVAILABLE. IT'S VERY, VERY EXCITING.

  • IT'S VERY, VERY EXCITING. ANOTHER THING I WANT TO TALK

  • ANOTHER THING I WANT TO TALK ABOUT HELPING DEVELOPERS IS WITH

  • ABOUT HELPING DEVELOPERS IS WITH AZURE SERVICES.

  • AZURE SERVICES. YOU KNOW, MANY, MANY COMPANIES,

  • YOU KNOW, MANY, MANY COMPANIES, YOU KNOW, COMPANIES LIKE

  • YOU KNOW, COMPANIES LIKE PROGRESSIVE, UNILEVER, YOU KNOW,

  • PROGRESSIVE, UNILEVER, YOU KNOW, THEY WANT TO BE THE BOTS AND

  • THEY WANT TO BE THE BOTS AND APPS TO INTERACT WITH THE

  • APPS TO INTERACT WITH THE CUSTOMERS, WITH EMPLOYEES, MUCH

  • CUSTOMERS, WITH EMPLOYEES, MUCH LIKE WE TALK JUST LIKE HUMANS.

  • LIKE WE TALK JUST LIKE HUMANS. AND WE OFFER AZURE SERVICE.

  • AND WE OFFER AZURE SERVICE. AND NOT ONLY TO HELP CREATE THE

  • AND NOT ONLY TO HELP CREATE THE BOTS, BUT ALSO HELP YOU TO

  • BOTS, BUT ALSO HELP YOU TO DEPLOY THE BOTS AND ALSO HELP

  • DEPLOY THE BOTS AND ALSO HELP YOU TO RUN THE BOTS.

  • YOU TO RUN THE BOTS. WE ALREADY HAVE 240,000

  • WE ALREADY HAVE 240,000 DEVELOPERS USING AZURE BOT

  • DEVELOPERS USING AZURE BOT SERVICES EVEN IN THE PREVIEW

  • SERVICES EVEN IN THE PREVIEW FORMAT.

  • FORMAT. TODAY WE'RE ANNOUNCING THAT IT'S

  • TODAY WE'RE ANNOUNCING THAT IT'S G.A. NOW, SO IT'S VERY EXCITING.

  • G.A. NOW, SO IT'S VERY EXCITING. OF COURSE, AS WE DEVELOP A.I.,

  • OF COURSE, AS WE DEVELOP A.I., WE HAVE TO DRIVE THE CONNECTION

  • WE HAVE TO DRIVE THE CONNECTION WITH THE A.I. COMMUNITY.

  • WITH THE A.I. COMMUNITY. AND TO DEMOCRATIZE A.I. IS NOT

  • AND TO DEMOCRATIZE A.I. IS NOT JUST ONE COMPANY'S

  • JUST ONE COMPANY'S RESPONSIBILITY.

  • RESPONSIBILITY. IT IT IS REALLY THE WHOLE

  • IT IT IS REALLY THE WHOLE COMMUNITY'S RESPONSIBILITY.

  • COMMUNITY'S RESPONSIBILITY. I GIVE A FEW EXAMPLES HERE WHAT

  • I GIVE A FEW EXAMPLES HERE WHAT WE HAVE BEEN DOING AT MICROSOFT.

  • WE HAVE BEEN DOING AT MICROSOFT. THE FIRST EXAMPLE IS THE

  • THE FIRST EXAMPLE IS THE INTERMETE MEDEATE PRESENTATION,

  • INTERMETE MEDEATE PRESENTATION, ONYX.

  • ONYX. AN OPEN NETWORK PROJECT THAT WAS

  • AN OPEN NETWORK PROJECT THAT WAS SPOTTED WITH FACEBOOK IN

  • SPOTTED WITH FACEBOOK IN SEPTEMBER.

  • SEPTEMBER. IT'S REALLY AN OPEN-SOURCE

  • IT'S REALLY AN OPEN-SOURCE FORMAT THAT ENABLES THOSE A.I.

  • FORMAT THAT ENABLES THOSE A.I. FRAMEWORKS TO INTEROPERATE WITH

  • FRAMEWORKS TO INTEROPERATE WITH EACH OTHER.

  • EACH OTHER. EXAMPLE NUMBER ONE.

  • EXAMPLE NUMBER ONE. THE SECOND EXAMPLE IS WHAT WE

  • THE SECOND EXAMPLE IS WHAT WE HAVE BEEN DOING WITH AMAZON.

  • HAVE BEEN DOING WITH AMAZON. IT IS AN A.I. -- THE FREE

  • IT IS AN A.I. -- THE FREE NETWORK INTERFACE, YOU KNOW.

  • NETWORK INTERFACE, YOU KNOW. THERE ARE SO MANY A.I.

  • THERE ARE SO MANY A.I. FRAMEWORKS OUT THERE, AND WE

  • FRAMEWORKS OUT THERE, AND WE DON'T WANT DEVELOPERS TO BE

  • DON'T WANT DEVELOPERS TO BE CONFUSED.

  • CONFUSED. WE CAN CHANGE ANY OF THE

  • WE CAN CHANGE ANY OF THE FRAMEWORK AND GET HELP FROM

  • FRAMEWORK AND GET HELP FROM AMAZON AND MICROSOFT TO START

  • AMAZON AND MICROSOFT TO START WITH THIS TO BYPASS ALL THE

  • WITH THIS TO BYPASS ALL THE COMPLEXITY WITHOUT SEPARATING

  • COMPLEXITY WITHOUT SEPARATING ANY OF THE SPEECH.

  • ANY OF THE SPEECH. THE THIRD EXAMPLE IS THAT WE

  • THE THIRD EXAMPLE IS THAT WE HAVE BEEN MAKING A LOT OF

  • HAVE BEEN MAKING A LOT OF INVESTMENTS WITH MICROSOFT

  • INVESTMENTS WITH MICROSOFT VENTURE IN BOTH LEADING A.I.

  • VENTURE IN BOTH LEADING A.I. COMPANIES, EMERGING COMPANIES

  • COMPANIES, EMERGING COMPANIES THERE.

  • THERE. SOME GREAT EXAMPLES I SHOW HERE

  • SOME GREAT EXAMPLES I SHOW HERE LIKE A.I., THE BANZAI AND

  • LIKE A.I., THE BANZAI AND DETECT, THOSE ARE EXCITING

  • DETECT, THOSE ARE EXCITING ACTIVITIES THAT WE DO.

  • ACTIVITIES THAT WE DO. ANOTHER THING I WANT TO SHARE

  • ANOTHER THING I WANT TO SHARE WITH YOU IS THAT WE SEE THE

  • WITH YOU IS THAT WE SEE THE VERTICAL SOLUTIONS AND --

  • VERTICAL SOLUTIONS AND -- THEY'RE VERY, VERY EXCITING.

  • THEY'RE VERY, VERY EXCITING. AND ONE EXAMPLE, WE PUSH HARD AT

  • AND ONE EXAMPLE, WE PUSH HARD AT MICROSOFT TOGETHER WITH OUR

  • MICROSOFT TOGETHER WITH OUR PARTNERS.

  • PARTNERS. THAT IS THE BUSINESS A.I.

  • THAT IS THE BUSINESS A.I. SOLUTIONS FOR CUSTOMER SERVICES.

  • SOLUTIONS FOR CUSTOMER SERVICES. I'M SURE AT SOME POINT OF YOUR

  • I'M SURE AT SOME POINT OF YOUR LIFE YOU USE CUSTOMER SERVICES

  • LIFE YOU USE CUSTOMER SERVICES AND TYPICALLY, YOU KNOW, YOU USE

  • AND TYPICALLY, YOU KNOW, YOU USE CUSTOMER SERVICES, YOU SPEND A

  • CUSTOMER SERVICES, YOU SPEND A LOT OF TIME, YOU KNOW, AND YOU

  • LOT OF TIME, YOU KNOW, AND YOU STILL GET FRUSTRATED.

  • STILL GET FRUSTRATED. THIS IS WHERE A.I. CAN REALLY

  • THIS IS WHERE A.I. CAN REALLY COME IN TO HELP.

  • COME IN TO HELP. IMAGINE YOU HAVE A VIRTUAL AGENT

  • IMAGINE YOU HAVE A VIRTUAL AGENT AND AGING ASSISTANTS AND THE

  • AND AGING ASSISTANTS AND THE MANAGEMENT TOOL TO BRING THIS

  • MANAGEMENT TOOL TO BRING THIS TOGETHER.

  • TOGETHER. WEE GREAT PARTNERS LIKE H.P. AND

  • WEE GREAT PARTNERS LIKE H.P. AND MACY'S AND AUSTRALIAN

  • MACY'S AND AUSTRALIAN GOVERNMENT'S DEPARTMENT OF HUMAN

  • GOVERNMENT'S DEPARTMENT OF HUMAN SERVICES WORKING WITH US TO

  • SERVICES WORKING WITH US TO DELIVER THOSE FANTASTIC

  • DELIVER THOSE FANTASTIC SOLUTIONS.

  • SOLUTIONS. THOSE ARE EXCITING THINGS THAT

  • THOSE ARE EXCITING THINGS THAT WE HAVE BEEN DOING AT MICROSOFT

  • WE HAVE BEEN DOING AT MICROSOFT A.I. AND R.

  • A.I. AND R. BUT TODAY I WANT TO FOCUS ON

  • BUT TODAY I WANT TO FOCUS ON EVERYDAY A.I.

  • EVERYDAY A.I. I WANT TO TALK ABOUT WHAT ARE

  • I WANT TO TALK ABOUT WHAT ARE THE PRACTICAL WAYS -- WHAT ARE

  • THE PRACTICAL WAYS -- WHAT ARE THE PRODUCTS THAT WE ALREADY ARE

  • THE PRODUCTS THAT WE ALREADY ARE SHIPPING WITH NEW AND COOL A.I.

  • SHIPPING WITH NEW AND COOL A.I. FEATURES TO HELP EVERYONE EVERY

  • FEATURES TO HELP EVERYONE EVERY DAY.

  • DAY. SO LET ME START WITH ONE OF

  • SO LET ME START WITH ONE OF THOSE MOST PERVASIVE FORMS OF

  • THOSE MOST PERVASIVE FORMS OF A.I. CALLED THE SEARCH.

  • A.I. CALLED THE SEARCH. YOU MIGHT SAY, WELL, WHAT'S NEW

  • YOU MIGHT SAY, WELL, WHAT'S NEW IN SEARCH?

  • IN SEARCH? I HAVE BEEN USING SEARCH FOR A

  • I HAVE BEEN USING SEARCH FOR A LONG TIME.

  • LONG TIME. I WOULD ARGUE THAT SEARCH HAS

  • I WOULD ARGUE THAT SEARCH HAS MOVED ON, IS NO LONGER JUST TEN

  • MOVED ON, IS NO LONGER JUST TEN BLUE LINKS.

  • BLUE LINKS. NOW SEARCH CAN BE SO POWERFUL

  • NOW SEARCH CAN BE SO POWERFUL WITH THE CONCEPTS, WITH

  • WITH THE CONCEPTS, WITH DIALOGUES WITH MANY MORE THINGS.

  • DIALOGUES WITH MANY MORE THINGS. AND MICROSOFT WE HAVE VIEWED

  • AND MICROSOFT WE HAVE VIEWED BING BEYOND JUST A SEARCH

  • BING BEYOND JUST A SEARCH ENGINE.

  • ENGINE. BING HAS HELPED TO BUILD THE

  • BING HAS HELPED TO BUILD THE MICROSOFT CLOUD SERVICES WITH

  • MICROSOFT CLOUD SERVICES WITH ALL THE STRUCTURE.

  • ALL THE STRUCTURE. AND IT'S BECOME THE FOUNDATION

  • AND IT'S BECOME THE FOUNDATION FOR A.I. FOR OUR COMPANY.

  • FOR A.I. FOR OUR COMPANY. AND WE MIGHT BE MUCH BIGGER THAN

  • AND WE MIGHT BE MUCH BIGGER THAN YOU EVEN THINK ABOUT.

  • YOU EVEN THINK ABOUT. AND WE LAUNCHED THE BING IN YEAR

  • AND WE LAUNCHED THE BING IN YEAR 2007.

  • 2007. AND IT'S NOW POWERING OVER

  • AND IT'S NOW POWERING OVER ONE-THIRD OF THE P.C. SEARCH WEB

  • ONE-THIRD OF THE P.C. SEARCH WEB TRAFFIC IN THE UNITED STATES AND

  • TRAFFIC IN THE UNITED STATES AND CONTINUES TO GROW IN THE U.S.

  • CONTINUES TO GROW IN THE U.S. AND WORLDWIDE.

  • AND WORLDWIDE. IT ALSO POWERS SOME EXPERIENCES

  • IT ALSO POWERS SOME EXPERIENCES FOR MANY OF OUR PARTNERS

  • FOR MANY OF OUR PARTNERS INCLUDING YAHOO!, NOW WITH

  • INCLUDING YAHOO!, NOW WITH VERIZON, L.L., AND AMTRAK, AND

  • VERIZON, L.L., AND AMTRAK, AND THE MULTILINGUAL ABILITY OF

  • THE MULTILINGUAL ABILITY OF TWEETER AND APPLE'S RESEARCH.

  • TWEETER AND APPLE'S RESEARCH. WE HAVE DEVELOPED FUNDAMENTAL

  • WE HAVE DEVELOPED FUNDAMENTAL A.I. TECHNOLOGIES ESPECIALLY IN

  • A.I. TECHNOLOGIES ESPECIALLY IN NATURAL UNDERSTANDING.

  • NATURAL UNDERSTANDING. THIS IS REALLY A LOT OF THINGS

  • THIS IS REALLY A LOT OF THINGS THAT WE CAN DEPEND ON FOR THE

  • THAT WE CAN DEPEND ON FOR THE FUTURE A.I. DEVELOPMENT.

  • FUTURE A.I. DEVELOPMENT. TODAY I'M VERY, VERY EXCITED TO

  • TODAY I'M VERY, VERY EXCITED TO INTRODUCE THREE NEW INTELLIGENT

  • INTRODUCE THREE NEW INTELLIGENT SEARCH CAPABILITIES THAT WE ARE

  • SEARCH CAPABILITIES THAT WE ARE SHIPPING IMMEDIATELY WITH BING.

  • SHIPPING IMMEDIATELY WITH BING. FIRST THING IS WHAT WE CALL THE

  • FIRST THING IS WHAT WE CALL THE INTELLIGENT ANSWERS.

  • INTELLIGENT ANSWERS. THAT UTILIZES THE MACHINE

  • THAT UTILIZES THE MACHINE COMPANY WITH MULTIPLE QUESTIONS,

  • COMPANY WITH MULTIPLE QUESTIONS, SNIPPETS OF MULTIPLE ANSWERS

  • SNIPPETS OF MULTIPLE ANSWERS ACROSS MULTIPLE SOURCES AND

  • ACROSS MULTIPLE SOURCES AND TRANSLATES DATA INTO

  • TRANSLATES DATA INTO EASY-TO-UNDERSTAND CONCEPTS.

  • EASY-TO-UNDERSTAND CONCEPTS. NOT ONLY DO YOU SEE MORE OF THE

  • NOT ONLY DO YOU SEE MORE OF THE MODEL'S ANSWERS POPPING UP, THE

  • MODEL'S ANSWERS POPPING UP, THE POPUP SEARCH PAGE FROM BING, BUT

  • POPUP SEARCH PAGE FROM BING, BUT YOU WILL GET A LOT MORE

  • YOU WILL GET A LOT MORE PERSPECTIVE, AS WELL.

  • PERSPECTIVE, AS WELL. SECOND, INTELLIGENT IMAGE

  • SECOND, INTELLIGENT IMAGE SEARCH.

  • SEARCH. THAT ENABLES YOU TO SEARCH IMAGE

  • THAT ENABLES YOU TO SEARCH IMAGE WITHIN THE IMAGES BY LEVERAGING

  • WITHIN THE IMAGES BY LEVERAGING RECOGNITION.

  • RECOGNITION. THAT'S ANOTHER COOL WAY TO FIND

  • THAT'S ANOTHER COOL WAY TO FIND WHAT YOU ARE REALLY LOOKING FOR.

  • WHAT YOU ARE REALLY LOOKING FOR. THE THIRD NEW FEATURE ABOUT THE

  • THE THIRD NEW FEATURE ABOUT THE NEW INTELLIGENT SEARCH IN BING

  • NEW INTELLIGENT SEARCH IN BING IS WHAT I CALL THE

  • IS WHAT I CALL THE CONVERSATIONAL SEARCH.

  • CONVERSATIONAL SEARCH. THAT REALLY PROVIDES INTELLIGENT

  • THAT REALLY PROVIDES INTELLIGENT SUGGESTIONS TO HELP YOU TO FIND

  • SUGGESTIONS TO HELP YOU TO FIND WHAT YOU ARE REALLY LOOKING FOR.

  • WHAT YOU ARE REALLY LOOKING FOR. VERY OFTEN WE UNDERSTAND THAT WE

  • VERY OFTEN WE UNDERSTAND THAT WE WANT TO SEARCH FOR SOMETHING,

  • WANT TO SEARCH FOR SOMETHING, BUT IT'S HARD TO EXPRESS.

  • BUT IT'S HARD TO EXPRESS. WHAT IF WE TURN THE EXPERIENCE

  • WHAT IF WE TURN THE EXPERIENCE INTO MORE A DIALOGUE?

  • INTO MORE A DIALOGUE? THAT'S THE THIRD THING CALLED A

  • THAT'S THE THIRD THING CALLED A CONVERSATIONAL SEARCH.

  • CONVERSATIONAL SEARCH. PLEASE WELCOME CHRISTINA BARED

  • PLEASE WELCOME CHRISTINA BARED FROM THE BING TEAM.

  • FROM THE BING TEAM. CHRISTINA?

  • CHRISTINA? >> THANKS, HARRY.

  • >> THANKS, HARRY. [ APPLAUSE ]

  • [ APPLAUSE ] >> AT THE CENTER OF A.I. IS

  • >> AT THE CENTER OF A.I. IS DATA.

  • DATA. IT POWERS EVERYTHING.

  • IT POWERS EVERYTHING. AT MICROSOFT WE HAVE WORLD

  • AT MICROSOFT WE HAVE WORLD KNOWLEDGE WITH BING AND WORK

  • KNOWLEDGE WITH BING AND WORK KNOWLEDGE WITH THE REST OF THE

  • KNOWLEDGE WITH THE REST OF THE MICROSOFT GRAPH.

  • MICROSOFT GRAPH. REALLY THE MAGIC HAPPENS WHEN

  • REALLY THE MAGIC HAPPENS WHEN YOU MAKE SENSE OF ALL OF THIS

  • YOU MAKE SENSE OF ALL OF THIS INFORMATION.

  • INFORMATION. WE'VE EVOLVED FROM SIMPLE

  • WE'VE EVOLVED FROM SIMPLE SEARCHES AND KEY WORD MATCHING

  • SEARCHES AND KEY WORD MATCHING TO USE ADVANCE A.I. TECHNIQUES

  • TO USE ADVANCE A.I. TECHNIQUES LIKE MACHINE READING

  • LIKE MACHINE READING COMPREHENSION THAT USES DEEP

  • COMPREHENSION THAT USES DEEP LEARNING TO UNDERSTAND THE

  • LEARNING TO UNDERSTAND THE MEANING BEHIND WORDS.

  • MEANING BEHIND WORDS. WE ALSO NEED REALLY POWERFUL

  • WE ALSO NEED REALLY POWERFUL HARDWARE IN ORDER TO PROCESS THE

  • HARDWARE IN ORDER TO PROCESS THE MODELS LIKE DEEP NEURONETWORKS.

  • MODELS LIKE DEEP NEURONETWORKS. WE'VE PARTNERED WITH INTEL TO

  • WE'VE PARTNERED WITH INTEL TO PAIR AGILITY AND PERFORMANCE

  • PAIR AGILITY AND PERFORMANCE WITH CHIPS THAT ALLOW US TO READ

  • WITH CHIPS THAT ALLOW US TO READ AND UNDERSTAND BILLIONS OF

  • AND UNDERSTAND BILLIONS OF DOCUMENTS IN MILLISECONDS.

  • DOCUMENTS IN MILLISECONDS. SO HOW DOES THIS APPLY TO YOUR

  • SO HOW DOES THIS APPLY TO YOUR EVERY DAY?

  • EVERY DAY? TODAY I'M GOING TO SHOW HOW A.I.

  • TODAY I'M GOING TO SHOW HOW A.I. ENABLES INTELLIGENT SEARCH IN A

  • ENABLES INTELLIGENT SEARCH IN A FEW WAYS.

  • FEW WAYS. ONE WITH INTELLIGENT ANSWERS,

  • ONE WITH INTELLIGENT ANSWERS, BING FOR BUSINESS, INTELLIGENT

  • BING FOR BUSINESS, INTELLIGENT IMAGE SEARCH, AND A NEW SEARCH

  • IMAGE SEARCH, AND A NEW SEARCH PARADIGM THAT IS FOR MORE

  • PARADIGM THAT IS FOR MORE CONVERSATIONAL SEARCH.

  • CONVERSATIONAL SEARCH. LET'S START WITH SOMETHING

  • LET'S START WITH SOMETHING RATHER MUNDANE LIKE FINDING A

  • RATHER MUNDANE LIKE FINDING A MOVIE TO WATCH FOR THE HOLIDAYS.

  • MOVIE TO WATCH FOR THE HOLIDAYS. INSTEAD OF A SIMPLE KEYWORD

  • INSTEAD OF A SIMPLE KEYWORD SEARCH, I'LL USING SOMETHING

  • SEARCH, I'LL USING SOMETHING LIKE MOVIES DIRECTED BY

  • LIKE MOVIES DIRECTED BY SPIELBERG STARRING TOM HANKS.

  • SPIELBERG STARRING TOM HANKS. LET'S USE TOM HANKS.

  • LET'S USE TOM HANKS. THIS ANSWER IS SPECIFIC TO MY

  • THIS ANSWER IS SPECIFIC TO MY QUERY.

  • QUERY. IT FILTERED OUT TV SHOWS AND

  • IT FILTERED OUT TV SHOWS AND PARTNERSHIPS, BUT IT INCLUDED A

  • PARTNERSHIPS, BUT IT INCLUDED A MOVIE THEY'RE DOING TOGETHER IN

  • MOVIE THEY'RE DOING TOGETHER IN JANUARY.

  • JANUARY. WITH BING'S VAST UNDERSTANDING

  • WITH BING'S VAST UNDERSTANDING OF THE WORLD, PEOPLE, AND

  • OF THE WORLD, PEOPLE, AND ENTITIES AND HOW THEY RELATE TO

  • ENTITIES AND HOW THEY RELATE TO EACH OTHER, A.I. ENABLES US TO

  • EACH OTHER, A.I. ENABLES US TO POWER MORE RICH AND COMPLETE

  • POWER MORE RICH AND COMPLETE ANSWERS.

  • ANSWERS. SAY I'M DOING RESEARCH ON

  • SAY I'M DOING RESEARCH ON SOMETHING A BIT MORE

  • SOMETHING A BIT MORE CONTROVERSIAL.

  • CONTROVERSIAL. I'M A VEGAN, AND I TAKE A LOT OF

  • I'M A VEGAN, AND I TAKE A LOT OF FLACK FROM MY FAMILY FOR BEING

  • FLACK FROM MY FAMILY FOR BEING AN ANNOYING KALE PUSHER.

  • AN ANNOYING KALE PUSHER. I WANT TO BE PREPARED FOR THE

  • I WANT TO BE PREPARED FOR THE INEVITABLE HOLIDAY TABLE DEBATE

  • INEVITABLE HOLIDAY TABLE DEBATE WITH MY COUSIN.

  • WITH MY COUSIN. SO I'M GOING TO DO A SEARCH FOR

  • SO I'M GOING TO DO A SEARCH FOR FACTS ABOUT KALE.

  • FACTS ABOUT KALE. THIS RESULT HERE IS A

  • THIS RESULT HERE IS A MULTISOURCE ANSWER.

  • MULTISOURCE ANSWER. BING USES A.I. TO BRING TOGETHER

  • BING USES A.I. TO BRING TOGETHER INFORMATION FROM MULTIPLE

  • INFORMATION FROM MULTIPLE DIFFERENT WEBSITES INTO ONE

  • DIFFERENT WEBSITES INTO ONE PLACE.

  • PLACE. AND AT MICROSOFT, WE BELIEVE

  • AND AT MICROSOFT, WE BELIEVE IT'S IMPORTANT TO UNDERSTAND

  • IT'S IMPORTANT TO UNDERSTAND WHERE INFORMATION COMES FROM.

  • WHERE INFORMATION COMES FROM. SO ALTHOUGH WE PROVIDE QUICK

  • SO ALTHOUGH WE PROVIDE QUICK ACCESS AND LINKS TO CONTENT,

  • ACCESS AND LINKS TO CONTENT, WE'RE ALSO CAREFUL TO MAKE SURE

  • WE'RE ALSO CAREFUL TO MAKE SURE WE ALSO INCLUDE SOURCES.

  • WE ALSO INCLUDE SOURCES. THIS WAY I CAN FEEL CONFIDENT

  • THIS WAY I CAN FEEL CONFIDENT ABOUT MY ADVOCACY OF KALE.

  • ABOUT MY ADVOCACY OF KALE. IF I WANT TO BE SUPER PREPARED

  • IF I WANT TO BE SUPER PREPARED AND UNDERSTAND BOTH SIDES OF AN

  • AND UNDERSTAND BOTH SIDES OF AN ISSUE -- BECAUSE WE DON'T LIVE

  • ISSUE -- BECAUSE WE DON'T LIVE IN A WORLD OF ABSOLUTES -- I CAN

  • IN A WORLD OF ABSOLUTES -- I CAN DO A QUERY LIKE -- ALSO USING

  • DO A QUERY LIKE -- ALSO USING NATURAL LANGUAGE LIKE IS KALE

  • NATURAL LANGUAGE LIKE IS KALE GOOD FOR YOU?

  • GOOD FOR YOU? THIS IS A MULTIPERSPECTIVE

  • THIS IS A MULTIPERSPECTIVE ANSWER.

  • ANSWER. BING SHOWS ALTERNATE VIEWPOINTS

  • BING SHOWS ALTERNATE VIEWPOINTS SO YOU CAN UNDERSTAND BOTH SIDES

  • SO YOU CAN UNDERSTAND BOTH SIDES OF AN ISSUE.

  • OF AN ISSUE. ON ONE SIDE I HAVE PRO-KALE.

  • ON ONE SIDE I HAVE PRO-KALE. AND ON THE OTHER SIDE I HAVE A

  • AND ON THE OTHER SIDE I HAVE A CAUTIONARY TALE OF WHY TOO MUCH

  • CAUTIONARY TALE OF WHY TOO MUCH KALE IS BAD SO THAT I DON'T HAVE

  • KALE IS BAD SO THAT I DON'T HAVE TO LIVE IN A BUBBLE WHERE

  • TO LIVE IN A BUBBLE WHERE EVERYTHING ABOUT KALE IS

  • EVERYTHING ABOUT KALE IS AMAZING.

  • AMAZING. IF I REALLY WANT TO EMBRACE THIS

  • IF I REALLY WANT TO EMBRACE THIS KALE-LOVING LIFESTYLE, I SHOULD

  • KALE-LOVING LIFESTYLE, I SHOULD PROBABLY TAKE UP YOGA OR

  • PROBABLY TAKE UP YOGA OR PILATES.

  • PILATES. I DON'T ACTUALLY REALLY KNOW THE

  • I DON'T ACTUALLY REALLY KNOW THE DIFFERENCE BETWEEN THEM.

  • DIFFERENCE BETWEEN THEM. SO IF I DO A SEARCH FOR

  • SO IF I DO A SEARCH FOR DIFFERENCE BETWEEN YOGA AND

  • DIFFERENCE BETWEEN YOGA AND PILATES, I GET THIS COMPARISON

  • PILATES, I GET THIS COMPARISON ANSWER -- BING HAS TAKEN

  • ANSWER -- BING HAS TAKEN COMPARISONS, A FEATURE TYPICALLY

  • COMPARISONS, A FEATURE TYPICALLY FOUND IN PRODUCT OR

  • FOUND IN PRODUCT OR SHOPPING-BASED SCENARIOS, AND

  • SHOPPING-BASED SCENARIOS, AND HAVE EXPANDED IT TO A WIDER

  • HAVE EXPANDED IT TO A WIDER QUERY SET.

  • QUERY SET. WE USE MACHINE READING

  • WE USE MACHINE READING COMPREHENSION TO READ THE WEB

  • COMPREHENSION TO READ THE WEB AND UNDERSTAND ENTITIES AND

  • AND UNDERSTAND ENTITIES AND THEIR ASPECTS IN ORDER TO

  • THEIR ASPECTS IN ORDER TO COMPARE DIFFERENCES BETWEEN

  • COMPARE DIFFERENCES BETWEEN ITEMS.

  • ITEMS. SO YOGA SEEMS LIKE IT'S MORE MY

  • SO YOGA SEEMS LIKE IT'S MORE MY JAM.

  • JAM. SO LET'S GO AHEAD AND PICK THAT.

  • SO LET'S GO AHEAD AND PICK THAT. AND I'VE HEARD A LOT ABOUT YOGA

  • AND I'VE HEARD A LOT ABOUT YOGA RETREATS IN COSTA RICA.

  • RETREATS IN COSTA RICA. SO -- I DON'T ACTUALLY HAVE A

  • SO -- I DON'T ACTUALLY HAVE A SENSE FOR HOW BIG IS COSTA RICA?

  • SENSE FOR HOW BIG IS COSTA RICA? THIS IS A RELATIONAL ANSWER.

  • THIS IS A RELATIONAL ANSWER. IN ADDITION TO SHOWING THE

  • IN ADDITION TO SHOWING THE ACTUAL SQUARE MILES, I'M ALSO

  • ACTUAL SQUARE MILES, I'M ALSO TOLD IT'S ABOUT TWICE THE SIZE

  • TOLD IT'S ABOUT TWICE THE SIZE OF MASSACHUSETTS WHICH IS

  • OF MASSACHUSETTS WHICH IS INCIDENTALLY MY HOME STATE.

  • INCIDENTALLY MY HOME STATE. SO I GO A GOOD SENSE OF WHAT

  • SO I GO A GOOD SENSE OF WHAT THAT MEANS.

  • THAT MEANS. BING HAS TAKEN -- USED A.I. AND

  • BING HAS TAKEN -- USED A.I. AND ADDED PERSPECTIVE TO

  • ADDED PERSPECTIVE TO INFORMATION.

  • INFORMATION. NOT ONLY ARE WE USING A.I. TO

  • NOT ONLY ARE WE USING A.I. TO SEACH ACROSS THE BILLIONS OF

  • SEACH ACROSS THE BILLIONS OF DOCUMENTS IN THE WEB, WE'RE ALSO

  • DOCUMENTS IN THE WEB, WE'RE ALSO USING A.I. TO MAKE INFORMATION

  • USING A.I. TO MAKE INFORMATION MORE UNDERSTANDABLE.

  • MORE UNDERSTANDABLE. BECAUSE WHILE THE ENGINEER IN ME

  • BECAUSE WHILE THE ENGINEER IN ME GEEKS OUT ON ALL OF THIS DATA,

  • GEEKS OUT ON ALL OF THIS DATA, THE DESIGNER IN ME KNOWS THAT

  • THE DESIGNER IN ME KNOWS THAT REAL USER DELIGHT COMES FROM

  • REAL USER DELIGHT COMES FROM MAKING DATA MAKE SENSE.

  • MAKING DATA MAKE SENSE. ALL OF THESE NEW EXPERIENCES,

  • ALL OF THESE NEW EXPERIENCES, MULTIPLE SOURCES, MULTIPLE

  • MULTIPLE SOURCES, MULTIPLE PERSPECTIVES, COMPARISONS, AND

  • PERSPECTIVES, COMPARISONS, AND RELATIONAL ANSWERS, THEY ALL

  • RELATIONAL ANSWERS, THEY ALL MAKE UP WHAT WE CALL INTELLIGENT

  • MAKE UP WHAT WE CALL INTELLIGENT ANSWERS.

  • ANSWERS. SO ALL OF THESE EVERYDAY A.I.

  • SO ALL OF THESE EVERYDAY A.I. CAPABILITIES ARE AWESOME.

  • CAPABILITIES ARE AWESOME. BUT WHAT IF WE COULD APPLY THEM

  • BUT WHAT IF WE COULD APPLY THEM TO THE CONTEXT OF WORK?

  • TO THE CONTEXT OF WORK? THAT'S EXACTLY WHAT WE'VE DONE

  • THAT'S EXACTLY WHAT WE'VE DONE FOR BING FOR BUSINESS.

  • FOR BING FOR BUSINESS. LET'S GO TO THE BING HOME PAGE.

  • LET'S GO TO THE BING HOME PAGE. BECAUSE I'M SIGNED IN WITH MY

  • BECAUSE I'M SIGNED IN WITH MY MICROSOFT WORK ACCOUNT, AT THE

  • MICROSOFT WORK ACCOUNT, AT THE BOTTOM OF MY HOME PAGE, I CAN

  • BOTTOM OF MY HOME PAGE, I CAN SEE INDUSTRY-RELATED NEWS.

  • SEE INDUSTRY-RELATED NEWS. AND THAT'S RELEVANT TO ME, A

  • AND THAT'S RELEVANT TO ME, A PERSON IN TECH.

  • PERSON IN TECH. AND BEYOND THIS PERSONALIZATION,

  • AND BEYOND THIS PERSONALIZATION, LET ME SHOW WHAT THE MICROSOFT

  • LET ME SHOW WHAT THE MICROSOFT GRAPH AND A.I. IS DO FOR A

  • GRAPH AND A.I. IS DO FOR A WORKPLACE PRODUCTIVITY.

  • WORKPLACE PRODUCTIVITY. I HAVE A MICROSOFT HOLIDAY PARTY

  • I HAVE A MICROSOFT HOLIDAY PARTY COMING UP, AND THE FABULOUS

  • COMING UP, AND THE FABULOUS HARRY SHUM IS MY EXECUTIVE VICE

  • HARRY SHUM IS MY EXECUTIVE VICE PRESIDENT.

  • PRESIDENT. SO BECAUSE I'M SIGNED IN, AND

  • SO BECAUSE I'M SIGNED IN, AND BUSINESS ENABLED, I TYPE IN

  • BUSINESS ENABLED, I TYPE IN HARRY'S ORG, AND NOTE THAT I'M

  • HARRY'S ORG, AND NOTE THAT I'M NOT USING HIS LAST NAME.

  • NOT USING HIS LAST NAME. IT STILL PROVIDES THE ORG CHART

  • IT STILL PROVIDES THE ORG CHART FOR THE RIGHT HARRY EVEN THOUGH

  • FOR THE RIGHT HARRY EVEN THOUGH THERE ARE A LOT OF GREAT HARRYs

  • THERE ARE A LOT OF GREAT HARRYs THAT WORK AT MICROSOFT.

  • THAT WORK AT MICROSOFT. ALSO, WEB RESULTS RELATED TO THE

  • ALSO, WEB RESULTS RELATED TO THE QUERY HARRY'S ORG.

  • QUERY HARRY'S ORG. BING FOR BUSINESS BRINGS

  • BING FOR BUSINESS BRINGS TOGETHER THE BEST OF CORPORATE

  • TOGETHER THE BEST OF CORPORATE INTERNET SEARCH WITH BEST OF WEB

  • INTERNET SEARCH WITH BEST OF WEB SEARCH ALL INTO ONE EXPERIENCE.

  • SEARCH ALL INTO ONE EXPERIENCE. SO IF I DO SOMETHING A LITTLE

  • SO IF I DO SOMETHING A LITTLE BIT MORE COMPLICATED LIKE HOW

  • BIT MORE COMPLICATED LIKE HOW HOW MUCH VACATION DO I GET?

  • HOW MUCH VACATION DO I GET? BECAUSE OF THE FPCA CHIP, I GET

  • BECAUSE OF THE FPCA CHIP, I GET ANSWERS IN MILLISECONDS.

  • ANSWERS IN MILLISECONDS. IF SOMETHING'S SUPER OBSCURE, I

  • IF SOMETHING'S SUPER OBSCURE, I CAN SEARCH FOR "CAN I HIRE MY

  • CAN SEARCH FOR "CAN I HIRE MY COUSIN"

  • CAN SEARCH FOR "CAN I HIRE MY COUSIN."

  • COUSIN." AND MACHINE READING POWERS THIS

  • AND MACHINE READING POWERS THIS ANSWER.

  • ANSWER. WHAT YOU NOTICE IS THAT COUSIN

  • WHAT YOU NOTICE IS THAT COUSIN ISN'T EVEN MENTIONED IN THE

  • ISN'T EVEN MENTIONED IN THE PASSAGE.

  • PASSAGE. THAT'S BECAUSE BING KNOWS THAT

  • THAT'S BECAUSE BING KNOWS THAT COWS SINCE A FAMILY MEMBER AND

  • COWS SINCE A FAMILY MEMBER AND UNDERSTANDS -- COUSIN IS A

  • UNDERSTANDS -- COUSIN IS A FAMILY MEMBER AND UNDERSTANDS

  • FAMILY MEMBER AND UNDERSTANDS THE MEANING BEHIND WORDS TO GET

  • THE MEANING BEHIND WORDS TO GET ME THE RIGHT ANSWER -- NOT THAT

  • ME THE RIGHT ANSWER -- NOT THAT I WOULD HIRE MY KALE-HATING

  • I WOULD HIRE MY KALE-HATING COUSIN ANYWAY.

  • COUSIN ANYWAY. FOR THIS HOLIDAY PARTY, I'M ALSO

  • FOR THIS HOLIDAY PARTY, I'M ALSO GOING TO WANT TO FIND SOMETHING

  • GOING TO WANT TO FIND SOMETHING FESTIVE TO WEAR.

  • FESTIVE TO WEAR. IT IS A WORK EVENT.

  • IT IS A WORK EVENT. I'LL SEARCH FOR WORK APPROPRIATE

  • I'LL SEARCH FOR WORK APPROPRIATE HOLIDAY COCKTAIL DRESS.

  • HOLIDAY COCKTAIL DRESS. I'M GOING TO GO TO IMAGE, OUR

  • I'M GOING TO GO TO IMAGE, OUR IMAGE VERTICAL.

  • IMAGE VERTICAL. AND THEN THIS ONE LOOKS

  • AND THEN THIS ONE LOOKS APPROPRIATELY FESTIVE.

  • APPROPRIATELY FESTIVE. BING IMAGE USES A.I. TECHNIQUE

  • BING IMAGE USES A.I. TECHNIQUE TO FIND DRESSES THAT LOOK LIKE

  • TO FIND DRESSES THAT LOOK LIKE THIS WITH DIRECT LINKS TO BUY.

  • THIS WITH DIRECT LINKS TO BUY. SO I CAN LOOK AROUND AND DO

  • SO I CAN LOOK AROUND AND DO PRICE COMPARISONS.

  • PRICE COMPARISONS. THE OTHER THING IT DOES IS OUR

  • THE OTHER THING IT DOES IS OUR OBJECT DETECTION ALLOWS ME TO

  • OBJECT DETECTION ALLOWS ME TO RESCOPE THIS QUERY ON JUST THIS

  • RESCOPE THIS QUERY ON JUST THIS NECKLACE SO NOW I CAN FIND

  • NECKLACE SO NOW I CAN FIND NECKLACES THAT LOOK SIMILAR TO

  • NECKLACES THAT LOOK SIMILAR TO ONE IN THIS PHOTO, AGAIN WITH

  • ONE IN THIS PHOTO, AGAIN WITH DIRECT LINKS TO BUY.

  • DIRECT LINKS TO BUY. BING IS AN INTELLIGENT SEARCH

  • BING IS AN INTELLIGENT SEARCH THAT SAVES TIME AND MONEY.

  • THAT SAVES TIME AND MONEY. OKAY.

  • OKAY. IN ADDITION TO INTELLIGENT

  • IN ADDITION TO INTELLIGENT ANSWERS, BING FOR BUSINESS, AND

  • ANSWERS, BING FOR BUSINESS, AND INTELLIGENT IMAGE SEARCH, WE'RE

  • INTELLIGENT IMAGE SEARCH, WE'RE ALSO USING A.I. TO MAKE THE

  • ALSO USING A.I. TO MAKE THE SEARCH BOX ITSELF MORE

  • SEARCH BOX ITSELF MORE CONVERSATIONAL WITH AN

  • CONVERSATIONAL WITH AN INTERACTIVE GUIDED SEARCH

  • INTERACTIVE GUIDED SEARCH EXPERIENCE.

  • EXPERIENCE. WE HEAR A LOT FROM CUSTOMERS

  • WE HEAR A LOT FROM CUSTOMERS THAT THEY WISH SEARCH COULD JUST

  • THAT THEY WISH SEARCH COULD JUST COMPLETE THEIR SENTENCES.

  • COMPLETE THEIR SENTENCES. IF I DO A VAGUE SEARCH LIKE I'M

  • IF I DO A VAGUE SEARCH LIKE I'M FEELING STRESSED WHICH MAY OR

  • FEELING STRESSED WHICH MAY OR MAY NOT BE BECAUSE OF THE DEMO,

  • MAY NOT BE BECAUSE OF THE DEMO, I GET THIS GUIDED WEB -- SEARCH

  • I GET THIS GUIDED WEB -- SEARCH FRIENDS.

  • FRIENDS. THE WEB RESULTS YOU EXPECT FROM

  • THE WEB RESULTS YOU EXPECT FROM A SEARCH ENGINE, I GET OUR

  • A SEARCH ENGINE, I GET OUR ANSWERS.

  • ANSWERS. BUT THEN UP TOP, WHAT YOU'LL SEE

  • BUT THEN UP TOP, WHAT YOU'LL SEE HERE IS THAT IT PROMPTS FOR

  • HERE IS THAT IT PROMPTS FOR ADDITIONAL QUERY REFINEMENTS.

  • ADDITIONAL QUERY REFINEMENTS. I CAN GO THROUGH AND PICK STRESS

  • I CAN GO THROUGH AND PICK STRESS MANAGEMENT AND THEN BREATHING

  • MANAGEMENT AND THEN BREATHING EXERCISES, AND THEN I CAN ALSO

  • EXERCISES, AND THEN I CAN ALSO KIND OF EXPAND TO SEE MY

  • KIND OF EXPAND TO SEE MY PREVIOUS RESULTS.

  • PREVIOUS RESULTS. WHAT'S DIFFERENT HERE IS THAT

  • WHAT'S DIFFERENT HERE IS THAT SEARCH IS BUILDING UPON THE LAST

  • SEARCH IS BUILDING UPON THE LAST SEARCH.

  • SEARCH. SO IT'S LITTLE BIT MORE

  • SO IT'S LITTLE BIT MORE CONVERSATIONAL, MORE

  • CONVERSATIONAL, MORE PERSONALIZED.

  • PERSONALIZED. WE'RE ABLE TO DO WITH THIS, GET

  • WE'RE ABLE TO DO WITH THIS, GET YOU BETTER ANSWERS FASTER.

  • YOU BETTER ANSWERS FASTER. THIS IS A NEW SEARCH PARADIGM.

  • THIS IS A NEW SEARCH PARADIGM. OUR EXPERTISE IN CONVERSATIONAL

  • OUR EXPERTISE IN CONVERSATIONAL A.I. WITH OUR BOTS ARE BROUGHT

  • A.I. WITH OUR BOTS ARE BROUGHT TOGETHER WITH OUR VAST DATA,

  • TOGETHER WITH OUR VAST DATA, ENABLES BING TO CREATE A NEW

  • ENABLES BING TO CREATE A NEW INTERACTIVE SEARCH EXPERIENCE

  • INTERACTIVE SEARCH EXPERIENCE THAT GETS YOU BETTER ANSWERS

  • THAT GETS YOU BETTER ANSWERS FASTER.

  • FASTER. IF I DO ANOTHER EXAMPLE FOR --

  • IF I DO ANOTHER EXAMPLE FOR -- LET'S SEE, SEATTLE VERSE, I'M

  • LET'S SEE, SEATTLE VERSE, I'M PROMPTED FOR POPULAR RIVALRIES.

  • PROMPTED FOR POPULAR RIVALRIES. I'M GOING TO SELECT THE RAMS

  • I'M GOING TO SELECT THE RAMS HERE.

  • HERE. HERE YOU'LL SEE AN ANSWER OF AN

  • HERE YOU'LL SEE AN ANSWER OF AN UPCOMING GAME ON THE 17th.

  • UPCOMING GAME ON THE 17th. IN ADDITION TO WEB LINKS AND

  • IN ADDITION TO WEB LINKS AND THIS AWESOME ANSWER, I CAN ALSO

  • THIS AWESOME ANSWER, I CAN ALSO SEE WHO BING PREDICTS TO WIN.

  • SEE WHO BING PREDICTS TO WIN. WE'RE PREDICTING THE RAMS WILL

  • WE'RE PREDICTING THE RAMS WILL WIN BY 51%.

  • WIN BY 51%. BING USES SEARCH, SOCIAL, AND

  • BING USES SEARCH, SOCIAL, AND OTHER RELEVANT DATA SIGNALS IN

  • OTHER RELEVANT DATA SIGNALS IN ORDER TO MAKE PREDICTIONS ON

  • ORDER TO MAKE PREDICTIONS ON SPORTS, REALITY TV SHOWS, AND

  • SPORTS, REALITY TV SHOWS, AND MORE.

  • MORE. IF I DO ANOTHER REALLY AMBIGUOUS

  • IF I DO ANOTHER REALLY AMBIGUOUS SEARCH LIKE SET DEFAULT, WITHOUT

  • SEARCH LIKE SET DEFAULT, WITHOUT ANY CONTEXT OF WHAT DEFAULT I'M

  • ANY CONTEXT OF WHAT DEFAULT I'M TRYING TO SET, I'M PROMPTED WITH

  • TRYING TO SET, I'M PROMPTED WITH VERY POPULAR THINGS THAT PEOPLE

  • VERY POPULAR THINGS THAT PEOPLE ARE SET TO VOTE FOR.

  • ARE SET TO VOTE FOR. CONVERSATIONAL SEARCH USES

  • CONVERSATIONAL SEARCH USES LARGE-SCALE MACHINE LEARNING.

  • LARGE-SCALE MACHINE LEARNING. THIS EXPERIENCE IS ONLY GOING TO

  • THIS EXPERIENCE IS ONLY GOING TO GET BETTER OVER TIME.

  • GET BETTER OVER TIME. A.I. LEARNS FROM USER

  • A.I. LEARNS FROM USER ENGAGEMENT, SO WE'RE REALLY

  • ENGAGEMENT, SO WE'RE REALLY EXCITED FOR THE FUTURE OF

  • EXCITED FOR THE FUTURE OF CONVERSATIONAL SEARCH.

  • CONVERSATIONAL SEARCH. WHAT I'VE SHOWN YOU TODAY,

  • WHAT I'VE SHOWN YOU TODAY, INTERCEPT ANSWERS, BING --

  • INTERCEPT ANSWERS, BING -- INTELLIGENT ANSWERS, BING FOR

  • INTELLIGENT ANSWERS, BING FOR BUSINESS, INTELLIGENT IMAGE

  • BUSINESS, INTELLIGENT IMAGE SEARCH, AND A NEW CONVERSATIONAL

  • SEARCH, AND A NEW CONVERSATIONAL GUIDED SEARCH IS JUST A SMALL

  • GUIDED SEARCH IS JUST A SMALL SAMPLING OF HOW WE ARE USING

  • SAMPLING OF HOW WE ARE USING A.I. TO CREATE INTELLIGENT

  • A.I. TO CREATE INTELLIGENT SEARCH.

  • SEARCH. ALL OF THESE EXPERIENCES ARE

  • ALL OF THESE EXPERIENCES ARE EITHER LIVE TODAY OR STARTING TO

  • EITHER LIVE TODAY OR STARTING TO ROLL OUT TODAY.

  • ROLL OUT TODAY. THANK YOU.

  • THANK YOU. AND LET ME TURN IT BACK OVER TO

  • AND LET ME TURN IT BACK OVER TO HARRY.

  • HARRY. [ APPLAUSE ]

  • [ APPLAUSE ] >> THANK YOU VERY MUCH,

  • >> THANK YOU VERY MUCH, CHRISTINA.

  • CHRISTINA. I HOPE YOU LIKE THOSE DEMOS.

  • I HOPE YOU LIKE THOSE DEMOS. YOU MAY NOT REALIZE THIS --

  • YOU MAY NOT REALIZE THIS -- PEOPLE REALLY UNDERESTIMATE HOW

  • PEOPLE REALLY UNDERESTIMATE HOW MUCH TIME THEY SPEND SEARCHING

  • MUCH TIME THEY SPEND SEARCHING FOR THE RIGHT INFORMATION.

  • FOR THE RIGHT INFORMATION. EVEN MORE SO, HOW MUCH TIME THEY

  • EVEN MORE SO, HOW MUCH TIME THEY ACTUALLY CONTINUE TO SEARCH FOR

  • ACTUALLY CONTINUE TO SEARCH FOR WHETHER THIS IS THE RIGHT

  • WHETHER THIS IS THE RIGHT INFORMATION.

  • INFORMATION. THIS IS WHERE NATURAL LANGUAGE,

  • THIS IS WHERE NATURAL LANGUAGE, MACHINE UNDERSTANDING LANGUAGE

  • MACHINE UNDERSTANDING LANGUAGE COMPREHENSION IS SO IMPORTANT,

  • COMPREHENSION IS SO IMPORTANT, AND IT'S DOING THE WORK FOR YOU.

  • AND IT'S DOING THE WORK FOR YOU. AND THERE'S ANOTHER THING THAT'S

  • AND THERE'S ANOTHER THING THAT'S IMPORTANT IS THAT YOU ALSO WANT

  • IMPORTANT IS THAT YOU ALSO WANT TO KNOW THAT AS PEOPLE TALK

  • TO KNOW THAT AS PEOPLE TALK ABOUT THIS KIND OF INFORMATION,

  • ABOUT THIS KIND OF INFORMATION, WHERE IS THE CONVERSATION, TO

  • WHERE IS THE CONVERSATION, TO ADD CREDIBILITY TO ALL THIS KIND

  • ADD CREDIBILITY TO ALL THIS KIND OF INTERESTING -- ALL THESE KIND

  • OF INTERESTING -- ALL THESE KIND OF INTERESTING TOPICS.

  • OF INTERESTING TOPICS. GONE ARE THE DAYS OF THE ENDLESS

  • GONE ARE THE DAYS OF THE ENDLESS LINKS.

  • LINKS. TODAY'S SEARCH IS ABOUT THE REAL

  • TODAY'S SEARCH IS ABOUT THE REAL ANSWERS, YOU KNOW, REAL

  • ANSWERS, YOU KNOW, REAL PERSPECTIVES AND THE REAL

  • PERSPECTIVES AND THE REAL CONVERSATIONS.

  • CONVERSATIONS. THAT'S WHY I'M EXCITED TO

  • THAT'S WHY I'M EXCITED TO ANNOUNCE A NEW PARTNERSHIP WITH

  • ANNOUNCE A NEW PARTNERSHIP WITH REDDIT.

  • REDDIT. WE'RE WORKING TO BRING

  • WE'RE WORKING TO BRING CONVERSATION AND ANSWERS TO BING

  • CONVERSATION AND ANSWERS TO BING AND TO BRING BING ENTITIES TO

  • AND TO BRING BING ENTITIES TO REDDIT.

  • REDDIT. TO TALK ABOUT THOSE UNIQUE

  • TO TALK ABOUT THOSE UNIQUE APPLICATIONS OF A.I. AT THE

  • APPLICATIONS OF A.I. AT THE INTERSECTION OF SOCIAL NEWS AND

  • INTERSECTION OF SOCIAL NEWS AND CONVERSATIONS AND THE SEARCH,

  • CONVERSATIONS AND THE SEARCH, LET ME WELCOME ALEXIS OHANIAN,

  • LET ME WELCOME ALEXIS OHANIAN, CO-FOUNDER OF REDDIT.

  • CO-FOUNDER OF REDDIT. ALEXISE?

  • ALEXISE? >> THANK YOU VERY MUCH, HARRY,

  • >> THANK YOU VERY MUCH, HARRY, HOW YOU DOING?

  • HOW YOU DOING? GOOD TO BE HERE.

  • GOOD TO BE HERE. HELLO, EVERYONE, GOOD DAY.

  • HELLO, EVERYONE, GOOD DAY. THERE IS PRETTY EXCITING.

  • THERE IS PRETTY EXCITING. IF YOU CAN BELIEVE IT, BEFORE

  • IF YOU CAN BELIEVE IT, BEFORE REDDIT WAS THE FRONT PAGE OF THE

  • REDDIT WAS THE FRONT PAGE OF THE INTERNET, IT WAS A FUN LITTLE

  • INTERNET, IT WAS A FUN LITTLE PROJECT THAT MY COLLEGE BUDDY

  • PROJECT THAT MY COLLEGE BUDDY AND I WERE STARTING IN A SMALL,

  • AND I WERE STARTING IN A SMALL, LITTLE APARTMENT IN REDFORD,

  • LITTLE APARTMENT IN REDFORD, MASSACHUSETTS.

  • MASSACHUSETTS. THIS IS BACK IN 2005.

  • THIS IS BACK IN 2005. WE JUST GRADUATED.

  • WE JUST GRADUATED. WE HAD NO IDEA WHAT WE WERE

  • WE HAD NO IDEA WHAT WE WERE DOING.

  • DOING. BUT WE KNEW ENOUGH AND HAD

  • BUT WE KNEW ENOUGH AND HAD PEOPLE WHO BELIEVED IN US ENOUGH

  • PEOPLE WHO BELIEVED IN US ENOUGH TO TAKE A CHANCE.

  • TO TAKE A CHANCE. AND REDDIT TODAY NOW HAS

  • AND REDDIT TODAY NOW HAS HUNDREDS OF MILLIONS OF USERS,

  • HUNDREDS OF MILLIONS OF USERS, 340 MILLION MONTHLY ACTIVE

  • 340 MILLION MONTHLY ACTIVE USERS, AND ABOUT TWO YEARS AGO,

  • USERS, AND ABOUT TWO YEARS AGO, MY CO-FOUNDER AND CEO STEVE CAME

  • MY CO-FOUNDER AND CEO STEVE CAME BACK AND WAS INSTRUMENTAL IN

  • BACK AND WAS INSTRUMENTAL IN BRINGING HIM BACK TO GET THE

  • BRINGING HIM BACK TO GET THE COMPANY RESET AND TO START DOING

  • COMPANY RESET AND TO START DOING A LOT OF THE THINGS THAT

  • A LOT OF THE THINGS THAT BASICALLY WE WISHED WE HAD DONE

  • BASICALLY WE WISHED WE HAD DONE MAYBE A DECADE AGO.

  • MAYBE A DECADE AGO. IT WAS SOLD IN 2006 TO CONDENAST

  • IT WAS SOLD IN 2006 TO CONDENAST AND HAS BEEN SHIPPING A TON OF

  • AND HAS BEEN SHIPPING A TON OF CODE AND BUILDING PARTNERSHIPS

  • CODE AND BUILDING PARTNERSHIPS AND A TEAM, INCLUDING A

  • AND A TEAM, INCLUDING A FORMIDABLE B.D. TEAM, A COUPLE

  • FORMIDABLE B.D. TEAM, A COUPLE OF WHOM ARE HERE, WHO BASICALLY

  • OF WHOM ARE HERE, WHO BASICALLY TOOK A CHANCE ON US A COUPLE OF

  • TOOK A CHANCE ON US A COUPLE OF YEARS AGO BECAUSE THERE WAS NO

  • YEARS AGO BECAUSE THERE WAS NO B.D. PROCESS, AND SAID WE WANT

  • B.D. PROCESS, AND SAID WE WANT TO BE A PART OF THIS.

  • TO BE A PART OF THIS. WE SEE THE POTENTIAL, AND WHAT

  • WE SEE THE POTENTIAL, AND WHAT YOU'RE SEEING TODAY WITH THE

  • YOU'RE SEEING TODAY WITH THE PARTNERSHIP WITH MICROSOFT IS

  • PARTNERSHIP WITH MICROSOFT IS ACTUALLY A REALLY GOOD EXAMPLE

  • ACTUALLY A REALLY GOOD EXAMPLE OF HOW FAR WE'VE COME IN A SHORT

  • OF HOW FAR WE'VE COME IN A SHORT TIME.

  • TIME. WHILE REDDIT THE WEBSITE IS 12

  • WHILE REDDIT THE WEBSITE IS 12 YEARS OLD, REDDIT, INC., IS ONLY

  • YEARS OLD, REDDIT, INC., IS ONLY TWO, THREE YEARS OLD.

  • TWO, THREE YEARS OLD. WE'RE PROUD TO BE ANNOUNCING

  • WE'RE PROUD TO BE ANNOUNCING THIS PARTNERSHIP HERE WITH

  • THIS PARTNERSHIP HERE WITH MICROSOFT AND BING TODAY.

  • MICROSOFT AND BING TODAY. SO GIVING YOU A LITTLE BIT OF

  • SO GIVING YOU A LITTLE BIT OF THE BACK STORY.

  • THE BACK STORY. TOLD YOU ABOUT MYSELF.

  • TOLD YOU ABOUT MYSELF. I'M CO-FOUNDER OF REDDIT.

  • I'M CO-FOUNDER OF REDDIT. AND YOU KNOW, I'VE NEVER REALLY

  • AND YOU KNOW, I'VE NEVER REALLY UNDERSTOOD THE SCALE OF REDDIT

  • UNDERSTOOD THE SCALE OF REDDIT WHEN I KNOW SOUNDS CRAZY.

  • WHEN I KNOW SOUNDS CRAZY. I'M A CO-FOUNDER, ONE OF THE

  • I'M A CO-FOUNDER, ONE OF THE ORIGINAL USERS.

  • ORIGINAL USERS. BUT I NEVER REALLY UNDERSTOOD

  • BUT I NEVER REALLY UNDERSTOOD THE SCALE OF REDDIT UNTIL THIS

  • THE SCALE OF REDDIT UNTIL THIS PARTNERSHIP BECAUSE WHEN YOU'RE

  • PARTNERSHIP BECAUSE WHEN YOU'RE IN THE MIDDLE OF IT ALL, IT'S

  • IN THE MIDDLE OF IT ALL, IT'S HARD TO UNDERSTAND THE NUMBERS

  • HARD TO UNDERSTAND THE NUMBERS BEHIND HOW MANY CONVERSATIONS

  • BEHIND HOW MANY CONVERSATIONS AND COMMUNITIES EXIST ON THE

  • AND COMMUNITIES EXIST ON THE REDDIT PLATFORM.

  • REDDIT PLATFORM. AND LOOK, IF I CAN'T NAVIGATE IT

  • AND LOOK, IF I CAN'T NAVIGATE IT OR GROCK IT, THEN HEAVEN HELP

  • OR GROCK IT, THEN HEAVEN HELP EVERYONE ELSE.

  • EVERYONE ELSE. AND SO THE LAST 2.5, 3 YEARS

  • AND SO THE LAST 2.5, 3 YEARS HAVE REALLY BEEN A CAUSE FOR US

  • HAVE REALLY BEEN A CAUSE FOR US TO MAKE REDDIT MORE ACCESSIBLE

  • TO MAKE REDDIT MORE ACCESSIBLE TO THE MASSES.

  • TO THE MASSES. IF YOU HAVEN'T USED THE REDDIT

  • IF YOU HAVEN'T USED THE REDDIT APP, I ENCOURAGE YOU TO DO SO.

  • APP, I ENCOURAGE YOU TO DO SO. IT'S ONLY A YEAR OLD, IF YOU CAN

  • IT'S ONLY A YEAR OLD, IF YOU CAN BELIEVE IT.

  • BELIEVE IT. MY WIFE TAKES CREDIT FOR HAVING

  • MY WIFE TAKES CREDIT FOR HAVING SPARKED IT BECAUSE ONE OF OUR

  • SPARKED IT BECAUSE ONE OF OUR FIRST CONVERSATIONS WAS HER

  • FIRST CONVERSATIONS WAS HER CONFESSING TO ME SHE HAD NO IDEA

  • CONFESSING TO ME SHE HAD NO IDEA WHAT REDDIT WAS.

  • WHAT REDDIT WAS. IMMEDIATELY DOING A SEARCH ON

  • IMMEDIATELY DOING A SEARCH ON HER PHONE, NOT FINDING AN APP,

  • HER PHONE, NOT FINDING AN APP, AND THINKING I WAS A LIAR.

  • AND THINKING I WAS A LIAR. BUT THAT'S THE WORLD WE LIVE IN

  • BUT THAT'S THE WORLD WE LIVE IN TODAY.

  • TODAY. WE LOOK UP APP FIRST.

  • WE LOOK UP APP FIRST. REDDIT DIDN'T HAVE A MOBILE

  • REDDIT DIDN'T HAVE A MOBILE PRESENCE, DIDN'T EVEN HAVE A

  • PRESENCE, DIDN'T EVEN HAVE A WEBSITE, NOW WE DO.

  • WEBSITE, NOW WE DO. IT'S BEAUTIFUL.

  • IT'S BEAUTIFUL. THE DESKTOP WHICH YOU MAY HAVE

  • THE DESKTOP WHICH YOU MAY HAVE SEEN UNVEILED AT SUMMIT IS ALSO

  • SEEN UNVEILED AT SUMMIT IS ALSO GETTING A REDESIGN.

  • GETTING A REDESIGN. IT WILL LOOK BEAUTIFUL.

  • IT WILL LOOK BEAUTIFUL. IT WILL LOOK MODERN.

  • IT WILL LOOK MODERN. EVERY ONE OF THESE IS A STEP IN

  • EVERY ONE OF THESE IS A STEP IN GETTING GREAT CONTINENTY FRONT

  • GETTING GREAT CONTINENTY FRONT OF AS MANY PEOPLE AS POSSIBLE AS

  • OF AS MANY PEOPLE AS POSSIBLE AS SUCCESSFULLY AS POSSIBLE.

  • SUCCESSFULLY AS POSSIBLE. AND THE PARTNERSHIP WITH BING IS

  • AND THE PARTNERSHIP WITH BING IS HELPING US DO THAT ON A WHOLE

  • HELPING US DO THAT ON A WHOLE OTHER LEVEL.

  • OTHER LEVEL. 330 MILLION ACTIVE MONTHLY USERS

  • 330 MILLION ACTIVE MONTHLY USERS REDDIT.

  • REDDIT. 10.7 MILLION POST SUBMISSIONS

  • 10.7 MILLION POST SUBMISSIONS PER MONTH.

  • PER MONTH. IT'S A VERY ACTIVE USER BASE.

  • IT'S A VERY ACTIVE USER BASE. 2.8 MILLION COMMENTS PER DAY.

  • 2.8 MILLION COMMENTS PER DAY. REDDIT IS THE ONE SOCIAL NETWORK

  • REDDIT IS THE ONE SOCIAL NETWORK THAT IS NOT ANTI-SOCIAL.

  • THAT IS NOT ANTI-SOCIAL. IT'S THE ONE PLACE WHERE YOU'LL

  • IT'S THE ONE PLACE WHERE YOU'LL ACTUALLY READ THE COMMENTS FIRST

  • ACTUALLY READ THE COMMENTS FIRST BEFORE LOOKING AT THE CONTENT

  • BEFORE LOOKING AT THE CONTENT BECAUSE THEY PROVIDE SO MUCH

  • BECAUSE THEY PROVIDE SO MUCH VALUE.

  • VALUE. THE REASON THOSE COMMENTS

  • THE REASON THOSE COMMENTS PROVIDE SO MUCH VALUE IS BECAUSE

  • PROVIDE SO MUCH VALUE IS BECAUSE THE HUNDREDS OF MILLIONS OF

  • THE HUNDREDS OF MILLIONS OF USERS LIKE PROBABLY MANY OF YOU

  • USERS LIKE PROBABLY MANY OF YOU ALL UP VOTE THE GOOD ONES, DOWN

  • ALL UP VOTE THE GOOD ONES, DOWN VOTE THE BAD ONES, AND A

  • VOTE THE BAD ONES, AND A BRILLIANT ALGORITHM STEVE CAME

  • BRILLIANT ALGORITHM STEVE CAME UP WITH SAYS AS A BRILLIANT

  • UP WITH SAYS AS A BRILLIANT 21-YEAR-OLD SORTS THE GOOD ONES

  • 21-YEAR-OLD SORTS THE GOOD ONES FROM THE BAD.

  • FROM THE BAD. HOW MANY IN THE ROOM ARE

  • HOW MANY IN THE ROOM ARE REDDITERS?

  • REDDITERS? IT'S OKAY IF YOU'RE USING IT

  • IT'S OKAY IF YOU'RE USING IT NOW, IT'S OKAY.

  • NOW, IT'S OKAY. I WON'T TAKE IT PERSONALLY.

  • I WON'T TAKE IT PERSONALLY. THANK YOU FOR BEING SO BRAVE AS

  • THANK YOU FOR BEING SO BRAVE AS YOU'RE WILLING TO OUT YOURSELVES

  • YOU'RE WILLING TO OUT YOURSELVES AS THE LEAST PRODUCTIVE PEOPLE

  • AS THE LEAST PRODUCTIVE PEOPLE IN THIS ROOM.

  • IN THIS ROOM. THAT IS IMPRESSIVE.

  • THAT IS IMPRESSIVE. OVER 138,000 ACTIVE COMMUNITIES

  • OVER 138,000 ACTIVE COMMUNITIES FOR WHATEVER YOUR PASSION,

  • FOR WHATEVER YOUR PASSION, WHATEVER YOUR LOVE, WHETHER IT

  • WHATEVER YOUR LOVE, WHETHER IT IS THE SEATTLE SEAHAWKS OR

  • IS THE SEATTLE SEAHAWKS OR WHETHER IT IS SNEAKERS,

  • WHETHER IT IS SNEAKERS, HOPEFULLY THERE'S A FEW

  • HOPEFULLY THERE'S A FEW SNEAKER-ETTES HERE WHO

  • SNEAKER-ETTES HERE WHO APPRECIATE THE OFF-WHITES I'M

  • APPRECIATE THE OFF-WHITES I'M WEARING NOW.

  • WEARING NOW. THESE ARE THE COMMUNITIES WHOSE

  • THESE ARE THE COMMUNITIES WHOSE OPINIONS WE CARE ABOUT.

  • OPINIONS WE CARE ABOUT. I DON'T CARE WHAT MY FRIENDS

  • I DON'T CARE WHAT MY FRIENDS FROM COLLEGE THINK ABOUT SHOES

  • FROM COLLEGE THINK ABOUT SHOES BECAUSE THEY HAVE TERRIBLE

  • BECAUSE THEY HAVE TERRIBLE TASTE.

  • TASTE. I CARE ABOUT WHAT THIS COMMUNITY

  • I CARE ABOUT WHAT THIS COMMUNITY OF PEOPLE, THIS PEER GROUP THAT

  • OF PEOPLE, THIS PEER GROUP THAT I CARE ABOUT, HINKS.

  • I CARE ABOUT, HINKS. AND ISN'T THAT HOW WE HUMANS

  • AND ISN'T THAT HOW WE HUMANS HAVE WORKED ALL ALONG?

  • HAVE WORKED ALL ALONG? PEOPLE COME TO REDDIT TO SEE

  • PEOPLE COME TO REDDIT TO SEE THIS BREADTH OF COMMUNITIES TO

  • THIS BREADTH OF COMMUNITIES TO GET ADVICE, FEEDBACK, A BETTER

  • GET ADVICE, FEEDBACK, A BETTER UNDERSTANDING OF THEIR WORLD AND

  • UNDERSTANDING OF THEIR WORLD AND THINGS THEY CARE ABOUT.

  • THINGS THEY CARE ABOUT. WHETHER THEY ARE SHOPPING FOR

  • WHETHER THEY ARE SHOPPING FOR BEARD CARE PRODUCTS -- YES,

  • BEARD CARE PRODUCTS -- YES, THERE ARE A NUMBER OF BEARD CARE

  • THERE ARE A NUMBER OF BEARD CARE COMMUNITIES -- IF YOU DON'T LIKE

  • COMMUNITIES -- IF YOU DON'T LIKE BEARDS, THAT'S FINE.

  • BEARDS, THAT'S FINE. THEY'LL GROW ON YOU.

  • THEY'LL GROW ON YOU. OKAY, ALL RIGHT.

  • OKAY, ALL RIGHT. THAT'S FINE.

  • THAT'S FINE. MAYBE YOU'RE A NEW PARENT LIKE I

  • MAYBE YOU'RE A NEW PARENT LIKE I WAS AND REALLY WORRIED BECAUSE

  • WAS AND REALLY WORRIED BECAUSE EVERY PARENT EVERY PHOTO I KNOW

  • EVERY PARENT EVERY PHOTO I KNOW PUTS ON THE INTERNET IS PERFEC

  • PUTS ON THE INTERNET IS PERFEC AND PRISTINE BECAUSE THAT'S THE

  • AND PRISTINE BECAUSE THAT'S THE IMAGE WE WANT TO SHOW TO THE

  • IMAGE WE WANT TO SHOW TO THE WORLD.

  • WORLD. WHEN YOUR KID'S SCREAMING AT

  • WHEN YOUR KID'S SCREAMING AT 4:00 A.M., YOU'RE NOT THINKING

  • 4:00 A.M., YOU'RE NOT THINKING LET ME TAKE A SELFIE, YOU'RE

  • LET ME TAKE A SELFIE, YOU'RE THINKING I NEED SOMEONE TO COMES

  • THINKING I NEED SOMEONE TO COMES RATE WITH.

  • RATE WITH. AND THE COMMUNITY ON REDDIT WAS

  • AND THE COMMUNITY ON REDDIT WAS PERFECT FOR ME.

  • PERFECT FOR ME. WHETHER YOU NEED SKIN CARE

  • WHETHER YOU NEED SKIN CARE ADVICE, RXSKINCAREADDICTION

  • ADVICE, RXSKINCAREADDICTION WOULD HAVE HELPED ME IN MY TEEN

  • WOULD HAVE HELPED ME IN MY TEEN YEARS.

  • YEARS. THERE WAS NO PLACE TO GO FOR

  • THERE WAS NO PLACE TO GO FOR STUFF BECAUSE THESE ARE

  • STUFF BECAUSE THESE ARE CONVERSATIONS PEOPLE CAN ONLY

  • CONVERSATIONS PEOPLE CAN ONLY HAVE ON A PLATFORM LIKE REDDIT

  • HAVE ON A PLATFORM LIKE REDDIT WITH THAT SCALE.

  • WITH THAT SCALE. THE INFORMATION IS SITTING

  • THE INFORMATION IS SITTING THERE.

  • THERE. SO ENGAGING, WE AVERAGE ABOUT 12

  • SO ENGAGING, WE AVERAGE ABOUT 12 MINUTES PER SESSION.-

  • SO ENGAGING, WE AVERAGE ABOUT 12 THIS ES PER SESSION.-

  • SO ENGAGING, WE AVERAGE ABOUT 12 THIS IS PER SESSION.-

  • SO ENGAGING, WE AVERAGE ABOUT 12 THIS IS HIGHLYSSION.-

  • SO ENGAGING, WE AVERAGE ABOUT 12 THIS IS HIGHLY SION.-

  • SO ENGAGING, WE AVERAGE ABOUT 12 THIS IS HIGHLY ENGAGED.

  • THIS IS HIGHLY ENGAGED. BUT AS LONG AS IT IS JUST ON

  • BUT AS LONG AS IT IS JUST ON REDDIT, WE KNOW WE'RE MISSING

  • REDDIT, WE KNOW WE'RE MISSING OUT ON A BROADER AUDIENCE THAT

  • OUT ON A BROADER AUDIENCE THAT WE KNW CAN BENEFIT FROM IT.

  • WE KNW CAN BENEFIT FROM IT. HOW DO WE FIND PARTNERS THAT CAN

  • HOW DO WE FIND PARTNERS THAT CAN GET US TO A MASSIVE AUDIENCE AND

  • GET US TO A MASSIVE AUDIENCE AND MAINSTREAM REACH?

  • MAINSTREAM REACH? BING, THERE YOU GO.

  • BING, THERE YOU GO. THE PARTNERSHIP WITH MICROSOFT

  • THE PARTNERSHIP WITH MICROSOFT IS JUST THE BEGINNING.

  • IS JUST THE BEGINNING. WE'VE GOT THREE BIG THINGS

  • WE'VE GOT THREE BIG THINGS AROUND THE INTELLIGENT SEARCH

  • AROUND THE INTELLIGENT SEARCH EXPERIENCE THAT WE'RE UNVEILING

  • EXPERIENCE THAT WE'RE UNVEILING TODAY.

  • TODAY. AS I'VE TOLD EVERYONE HERE, THIS

  • AS I'VE TOLD EVERYONE HERE, THIS IS JUST THE START.

  • IS JUST THE START. THREE BIG THINGS THAT WILL

  • THREE BIG THINGS THAT WILL INTEGRATE REDDIT CONTENT MORE

  • INTEGRATE REDDIT CONTENT MORE DIRECTLY, MORE BEAUTIFULLY MORE

  • DIRECTLY, MORE BEAUTIFULLY MORE HELPFULLY INTO BIG SEARCH

  • HELPFULLY INTO BIG SEARCH RESULTS.

  • RESULTS. THE FIRST OF WHICH ASK MY

  • THE FIRST OF WHICH ASK MY ANYTHINGS.

  • ANYTHINGS. THIS BRAND IS PROBABLY AS WELL

  • THIS BRAND IS PROBABLY AS WELL KNOWN AS REDDIT ITSELF.

  • KNOWN AS REDDIT ITSELF. MANY PLATFORMS HAVE TRIED TO

  • MANY PLATFORMS HAVE TRIED TO COPY THE MODEL, BUT THEY'VE ALL

  • COPY THE MODEL, BUT THEY'VE ALL FAILED.

  • FAILED. THE MAGIC IS IN THE CONTEXT.

  • THE MAGIC IS IN THE CONTEXT. A CROWD-SOURCED Q&A ON ITS

  • A CROWD-SOURCED Q&A ON ITS SURFACE DOESN'T SEEM REALLY

  • SURFACE DOESN'T SEEM REALLY INTERESTING UNTIL YOU PUT IT IN

  • INTERESTING UNTIL YOU PUT IT IN THE CONTEXT OF A COMMUNITY.

  • THE CONTEXT OF A COMMUNITY. AND UNTIL YOU SEE THE SCIENCE

  • AND UNTIL YOU SEE THE SCIENCE COMMUNITY TALK TO AN EXPERT LIKE

  • COMMUNITY TALK TO AN EXPERT LIKE JANE GOODALL AND ASK THEIR MOST

  • JANE GOODALL AND ASK THEIR MOST BRILLIANT QUESTIONS.

  • BRILLIANT QUESTIONS. THEY DON'T HAVE TO BE

  • THEY DON'T HAVE TO BE CELEBRITIES.

  • CELEBRITIES. ONE OF THE MOST POPULAR AMAs OF

  • ONE OF THE MOST POPULAR AMAs OF ALL TIME WAS A VACUUM REPAIRMAN.

  • ALL TIME WAS A VACUUM REPAIRMAN. HE CAME BACK ON RECENTLY.

  • HE CAME BACK ON RECENTLY. HE'S NOW A VACUUM REPAIR

  • HE'S NOW A VACUUM REPAIR MANAGER.

  • MANAGER. HE GOT A PROMOTION IN THE LAST

  • HE GOT A PROMOTION IN THE LAST THREE YEARS.

  • THREE YEARS. THAT'S NOT A JOKE.

  • THAT'S NOT A JOKE. I'M SERIOUS.

  • I'M SERIOUS. AND IT MAY BE IN NO SMALL PART

  • AND IT MAY BE IN NO SMALL PART THANKS TO THE REDDIT AMA.

  • THANKS TO THE REDDIT AMA. HE SPENT 24 HOURS ANSWERING

  • HE SPENT 24 HOURS ANSWERING EVERY QUESTION A PERSON COULD

  • EVERY QUESTION A PERSON COULD POST ABOUT A VACUUM.

  • POST ABOUT A VACUUM. AND BELIEVE ME, THERE ARE A LOT

  • AND BELIEVE ME, THERE ARE A LOT OF FASCINATING QUESTIONS ABOUT

  • OF FASCINATING QUESTIONS ABOUT VACUUMS FROM WHAT'S THE WEIRDEST

  • VACUUMS FROM WHAT'S THE WEIRDEST THING YOU'VE FOUND TO I HAVE

  • THING YOU'VE FOUND TO I HAVE THIS PARTICULAR MODEL AND IT

  • THIS PARTICULAR MODEL AND IT MAKES THIS WHIR-WHIR-WHIR NOISE

  • MAKES THIS WHIR-WHIR-WHIR NOISE EVERY 30 SECONDS.

  • EVERY 30 SECONDS. THESE ARE CONVERSATIONS YOU

  • THESE ARE CONVERSATIONS YOU WON'T FIND ANYWHERE ELSE BUT ARE

  • WON'T FIND ANYWHERE ELSE BUT ARE VALUABLE AND NUANCED AND

  • VALUABLE AND NUANCED AND SPECIAL, AND WE KNOW THAT THERE

  • SPECIAL, AND WE KNOW THAT THERE ARE PEOPLE, WHETHER THEY KNOW IT

  • ARE PEOPLE, WHETHER THEY KNOW IT OR NOT, WHO HAVE SEARCHING FOR

  • OR NOT, WHO HAVE SEARCHING FOR THIS EVER EVERYDAY ON BING, BUT

  • THIS EVER EVERYDAY ON BING, BUT NOW WE'RE PROVIDING A

  • NOW WE'RE PROVIDING A WORLD-CLASS EXPERIENCE TO FIND

  • WORLD-CLASS EXPERIENCE TO FIND IT.

  • IT. REDDIT CONTENT ITSELF AS WELL AS

  • REDDIT CONTENT ITSELF AS WELL AS THE RESPONSES AROUND A BING

  • THE RESPONSES AROUND A BING USER'S QUESTION.

  • USER'S QUESTION. THIS IS FUN.

  • THIS IS FUN. WE'RE SEEING MORE AND MORE

  • WE'RE SEEING MORE AND MORE QUERIES NOW PHRASED AS

  • QUERIES NOW PHRASED AS QUESTIONS.

  • QUESTIONS. PART OF THAT'S THE RISE OF

  • PART OF THAT'S THE RISE OF VOICE.

  • VOICE. PART OF THAT IS THE FACT THAT

  • PART OF THAT IS THE FACT THAT LIKE WE'RE GETTING USED TO

  • LIKE WE'RE GETTING USED TO TALKING TO THE ROBOT AND

  • TALKING TO THE ROBOT AND EXPECTING A GOOD ANSWER.

  • EXPECTING A GOOD ANSWER. THE CHALLENGE IS THERE'S A LOT

  • THE CHALLENGE IS THERE'S A LOT OF NUANCE WHEN YOU'RE ASKING

  • OF NUANCE WHEN YOU'RE ASKING OPEN-ENDED QUESTIONS.

  • OPEN-ENDED QUESTIONS. REDDIT IS THE LARGEST DATA SET

  • REDDIT IS THE LARGEST DATA SET IN THE ENGLISH-SPEAKING WORLDS

  • IN THE ENGLISH-SPEAKING WORLDS OF VETTED -- WORLD OF VETTED,

  • OF VETTED -- WORLD OF VETTED, NUANCED RESPONSES.

  • NUANCED RESPONSES. THE GREATEST NFL PLAY IS A VERY

  • THE GREATEST NFL PLAY IS A VERY DIFFERENT ANSWER DEPENDING ON

  • DIFFERENT ANSWER DEPENDING ON WHETHER YOU'RE ASKING IT IN NEW

  • WHETHER YOU'RE ASKING IT IN NEW ENGLAND OR IN SEATTLE.

  • ENGLAND OR IN SEATTLE. THE NFL FANS KNOW WHO WHAT I'M

  • THE NFL FANS KNOW WHO WHAT I'M TALKING ABOUT.

  • TALKING ABOUT. SO WHAT IS SO, SO IMPORTANT HERE

  • SO WHAT IS SO, SO IMPORTANT HERE IS THAT WE HAVE THIS DATA SET --

  • IS THAT WE HAVE THIS DATA SET -- WE'VE HAD IT ACTUALLY FOR A LONG

  • WE'VE HAD IT ACTUALLY FOR A LONG TIME, AND IT GETS BIGGER AND

  • TIME, AND IT GETS BIGGER AND BIGGER EVERY DAY.

  • BIGGER EVERY DAY. BUT WE OURSELVES ARE STILL

  • BUT WE OURSELVES ARE STILL BUILDING A DATA TEAM INSIDE

  • BUILDING A DATA TEAM INSIDE REDDIT TO UNDERSTAND THE THINGS

  • REDDIT TO UNDERSTAND THE THINGS WE NEEDED TO KNOW ABOUT.

  • WE NEEDED TO KNOW ABOUT. WE NEEDED PARTNERS TO DO THE

  • WE NEEDED PARTNERS TO DO THE HEAVY LIFTING AROUND DATA

  • HEAVY LIFTING AROUND DATA INTELLIGENCE, AND IT CAME BACK

  • INTELLIGENCE, AND IT CAME BACK TO MICROSOFT.

  • TO MICROSOFT. THE THIRD THING, MAKING REDDIT

  • THE THIRD THING, MAKING REDDIT KMURNT

  • THE THIRD THING, MAKING REDDIT KMU

  • KMU COMMUNITIES AND THEIR TOP

  • COMMUNITIES AND THEIR TOP CONTENT, SUB-REDDITS, MORE

  • CONTENT, SUB-REDDITS, MORE ACCESSIBLE TO A USER WHO RUNS

  • ACCESSIBLE TO A USER WHO RUNS THE BING REQUIRY, FINDS RESULTS,

  • THE BING REQUIRY, FINDS RESULTS, AND WHETHER THEY'RE LIKING FOR

  • AND WHETHER THEY'RE LIKING FOR CUTE ANIMAL -- THEY'RE LOOKING

  • CUTE ANIMAL -- THEY'RE LOOKING FOR CUTE ANIMAL PHOTOS OR A

  • FOR CUTE ANIMAL PHOTOS OR A RECIPE, THEY FIND A VISUAL LOOK

  • RECIPE, THEY FIND A VISUAL LOOK INTO THE COMMUNITY.

  • INTO THE COMMUNITY. WE HAVE SO MANY PEOPLE WHO VISIT

  • WE HAVE SO MANY PEOPLE WHO VISIT REDDIT WHO MAY NOT EVEN BE FULLY

  • REDDIT WHO MAY NOT EVEN BE FULLY AWARE OF HOW MUCH IS BENEATH THE

  • AWARE OF HOW MUCH IS BENEATH THE SURFACE.

  • SURFACE. HAVING SEARCH RESULTS BE OBVIOUS

  • HAVING SEARCH RESULTS BE OBVIOUS AND BEAUTIFUL AND VISUAL IS ONE

  • AND BEAUTIFUL AND VISUAL IS ONE MORE STEP TO GETTING THEM AWARE

  • MORE STEP TO GETTING THEM AWARE OF IT.

  • OF IT. WE WANTED TO HELP PEOPLE FIND

  • WE WANTED TO HELP PEOPLE FIND GREAT CONTENT ON REDDIT.

  • GREAT CONTENT ON REDDIT. BING HAS BEEN A GREAT PARTNER IN

  • BING HAS BEEN A GREAT PARTNER IN DOING THIS.

  • DOING THIS. AMAs ARE SUCH -- THEY WERE SUCH

  • AMAs ARE SUCH -- THEY WERE SUCH LOW-HANGING FRUITS.

  • LOW-HANGING FRUITS. ONE OF THE THINGS THAT'S NEVER

  • ONE OF THE THINGS THAT'S NEVER BEEN DONE BEFORE THAT WE'RE

  • BEEN DONE BEFORE THAT WE'RE THRILLED TO BE ANNOUNCING HERE,

  • THRILLED TO BE ANNOUNCING HERE, IS NOW FOR THE FIRST TIME IN

  • IS NOW FOR THE FIRST TIME IN BING SEARCH RESULTS, YOU WILL

  • BING SEARCH RESULTS, YOU WILL SEE UPCOMING AMAINGS.

  • SEE UPCOMING AMAINGS. THIS SEEMS OBVIOUS, BUT IT'S

  • THIS SEEMS OBVIOUS, BUT IT'S SOMETHING WE'VE NEVER DONE

  • SOMETHING WE'VE NEVER DONE BEFORE.

  • BEFORE. A COMMON COMPLAINT WE HEAR FROM

  • A COMMON COMPLAINT WE HEAR FROM PEOPLE IS OH, MY GOODNESS, HOW

  • PEOPLE IS OH, MY GOODNESS, HOW DID I MISS FILL IN THE BLANK WAS

  • DID I MISS FILL IN THE BLANK WAS DOING THIS AMA?

  • DOING THIS AMA? IT'S TOUGH.

  • IT'S TOUGH. IF YOU DON'T KNOW IN ADVANCE,

  • IF YOU DON'T KNOW IN ADVANCE, MAYBE YOU FIND OUT WHILE IT'S

  • MAYBE YOU FIND OUT WHILE IT'S GOING ON, OR MAYBE YOU READ

  • GOING ON, OR MAYBE YOU READ ABOUT IT A DAY LATER ON YOUR

  • ABOUT IT A DAY LATER ON YOUR FRIEND'S FACEBOOK PAGE, MAYBE

  • FRIEND'S FACEBOOK PAGE, MAYBE YOU READ ABOUT IT A WEEKBUZZFEE.

  • YOU READ ABOUT IT A WEEKBUZZFEE. ONE WAY OR ANOTHER, YOU WISH YOU

  • ONE WAY OR ANOTHER, YOU WISH YOU HAD KNOWN IN ADVANCE.

  • HAD KNOWN IN ADVANCE. IT'S EXCITING.

  • IT'S EXCITING. WE CAN HAVE THIS AS PARITY OF

  • WE CAN HAVE THIS AS PARITY OF THE SEARCH RESULTS.

  • THE SEARCH RESULTS. LEAH REMINI HAS DONE A COUPLE OF

  • LEAH REMINI HAS DONE A COUPLE OF AMAs AROUND HER DOCUMENTARY ON

  • AMAs AROUND HER DOCUMENTARY ON A&E AROUND SCIENTOLOGY.

  • A&E AROUND SCIENTOLOGY. HERE'S AN EXAMPLE, "Q&A WITH

  • HERE'S AN EXAMPLE, "Q&A WITH LEAH REMINI," UPCOMING DATE AND

  • LEAH REMINI," UPCOMING DATE AND TIME.

  • TIME. SOMEONE PULLS A QUERY BECAUSE

  • SOMEONE PULLS A QUERY BECAUSE THEY HEARD SOMETHING ABOUT HER

  • THEY HEARD SOMETHING ABOUT HER OR HER SERIES, THEY KNOW THIS

  • OR HER SERIES, THEY KNOW THIS EVENT IS HAPPENING, THEY CAN SET

  • EVENT IS HAPPENING, THEY CAN SET THE ALARM AND DO WHAT THEY NEED

  • THE ALARM AND DO WHAT THEY NEED TO DO TO MAKE SURE THEY'RE PART

  • TO DO TO MAKE SURE THEY'RE PART OF THIS MOMENT.

  • OF THIS MOMENT. THIS IS A TRANSFORMATIVE THING

  • THIS IS A TRANSFORMATIVE THING FOR US.

  • FOR US. WE HAVE SO MANY PEOPLE WHO FIND

  • WE HAVE SO MANY PEOPLE WHO FIND THEIR GATEWAYS TO REDDIT THROUGH

  • THEIR GATEWAYS TO REDDIT THROUGH THESE AMAs, BECAUSE IF YOU

  • THESE AMAs, BECAUSE IF YOU HAVEN'T HEARD OF REDDIT, YOU'VE

  • HAVEN'T HEARD OF REDDIT, YOU'VE HEARD OF THAT CELEBRITY OR

  • HEARD OF THAT CELEBRITY OR INFLUENCER OR MAYBE YOU ALSO OWN

  • INFLUENCER OR MAYBE YOU ALSO OWN A VACUUM THAT YOU WANT TO LEARN

  • A VACUUM THAT YOU WANT TO LEARN FROM AND HEAR FROM, AND THIS

  • FROM AND HEAR FROM, AND THIS BECOMES A GREAT GATEWAY.

  • BECOMES A GREAT GATEWAY. THIS IS AN EXAMPLE OF A PAST

  • THIS IS AN EXAMPLE OF A PAST AMA, IN CASE YOU'RE TRYING TO

  • AMA, IN CASE YOU'RE TRYING TO SET YOUR CALENDAR, IT'S NOT

  • SET YOUR CALENDAR, IT'S NOT GOING TO WORK BECAUSE IT WAS

  • GOING TO WORK BECAUSE IT WAS NOVEMBER 29th.

  • NOVEMBER 29th. BUT THAT'S HOW IT WILL LOOK.

  • BUT THAT'S HOW IT WILL LOOK. THERE'S THE LEVELING UP OF HOW

  • THERE'S THE LEVELING UP OF HOW PAST AMAs LOOKED.

  • PAST AMAs LOOKED. JANE GOODALL DID AN AMAZING JOB

  • JANE GOODALL DID AN AMAZING JOB ON REDDIT GETTING ASKED

  • ON REDDIT GETTING ASKED QUESTIONS THAT ARE THE BEST OF

  • QUESTIONS THAT ARE THE BEST OF AN AUDIENCE THAT IS VERY

  • AN AUDIENCE THAT IS VERY INTERESTED IN SCIENCE.

  • INTERESTED IN SCIENCE. YOU COULD CUT THIS A BUNCH OF

  • YOU COULD CUT THIS A BUNCH OF WAYS.

  • WAYS. WE SAY AMAs HAPPENING ACROSS THE

  • WE SAY AMAs HAPPENING ACROSS THE DIFFERENT COMMUNITIES ON REDDIT.

  • DIFFERENT COMMUNITIES ON REDDIT. THE QUESTIONS SHE'LL GET ARE

  • THE QUESTIONS SHE'LL GET ARE DIFFERENT, MORE NUANCED, THAN

  • DIFFERENT, MORE NUANCED, THAN THE QUESTIONS SHE GETS FROM THE

  • THE QUESTIONS SHE GETS FROM THE ENVIRONMENT COMMUNITY WHICH ARE

  • ENVIRONMENT COMMUNITY WHICH ARE DIFFERENT FROM THE QUESTIONS SHE

  • DIFFERENT FROM THE QUESTIONS SHE MIGHT GET FROM THE 2X

  • MIGHT GET FROM THE 2X CHROMOSOMES COMMUNITY WHICH ARE

  • CHROMOSOMES COMMUNITY WHICH ARE DIFFERENT FROM THE QUESTIONS SHE

  • DIFFERENT FROM THE QUESTIONS SHE MIGHT GET FROM THE ET CETERA, ET

  • MIGHT GET FROM THE ET CETERA, ET CETERA COMMUNITIES.

  • CETERA COMMUNITIES. BING CAN HANDLE ALL OF THIS.

  • BING CAN HANDLE ALL OF THIS. AND THROUGH ROBOTS THAT I DON'T

  • AND THROUGH ROBOTS THAT I DON'T UNDERSTAND AND CERTAINLY WOULD

  • UNDERSTAND AND CERTAINLY WOULD NOT CHALLENGE IN A GAME OF

  • NOT CHALLENGE IN A GAME OF CHESS, FIGURE OUT WHAT THE BEST

  • CHESS, FIGURE OUT WHAT THE BEST RESULTS SHOULD BE AND PRESENT

  • RESULTS SHOULD BE AND PRESENT THEM IN A WYE THAT'S DIGESTIBLE

  • THEM IN A WYE THAT'S DIGESTIBLE AND -- IN A WAY THAT'S

  • AND -- IN A WAY THAT'S DIGESTIBLE AND ACCESSIBLE FOR

  • DIGESTIBLE AND ACCESSIBLE FOR USERS.

  • USERS. THE TOP COMMENT, TOP RESPONSE.

  • THE TOP COMMENT, TOP RESPONSE. BELIEVE ME, I'VE HEARD A FEW

  • BELIEVE ME, I'VE HEARD A FEW TIMES AT THAT CURRENT DESKTOP

  • TIMES AT THAT CURRENT DESKTOP VERSION OF REDDIT IS HARD TO

  • VERSION OF REDDIT IS HARD TO GROCK AT FIRST GLANCE.

  • GROCK AT FIRST GLANCE. THESE BEAUTIFUL RESULTS LET

  • THESE BEAUTIFUL RESULTS LET SOMEONE RUNNING A QUERY FIND THE

  • SOMEONE RUNNING A QUERY FIND THE BING CONTENT, DIVE IN INSTANTLY,

  • BING CONTENT, DIVE IN INSTANTLY, AND SEE THE BEST OF WHAT THE

  • AND SEE THE BEST OF WHAT THE RIDITY COMMUNITY HAS TO OFFER --

  • RIDITY COMMUNITY HAS TO OFFER -- REDDIT COMMUNITY HAS TO OFFER

  • REDDIT COMMUNITY HAS TO OFFER AND WHAT JANE GOODALL AND THE

  • AND WHAT JANE GOODALL AND THE EXPERTS HAVE TO OFFER.

  • EXPERTS HAVE TO OFFER. THESE ARE THE BEST AMAs OF ALL

  • THESE ARE THE BEST AMAs OF ALL TIME.

  • TIME. I ADMIT, I MISS GOOD HALF OF

  • I ADMIT, I MISS GOOD HALF OF THESE.

  • THESE. IT'S BEEN A BUSY YEAR.

  • IT'S BEEN A BUSY YEAR. NOW THEY EXIST WITH BEAUTIFUL

  • NOW THEY EXIST WITH BEAUTIFUL THUMBNAILS UP TOP FOR ANYONE TO

  • THUMBNAILS UP TOP FOR ANYONE TO SEE.

  • SEE. THIS IS MORE ACCESSIBILITY INTO

  • THIS IS MORE ACCESSIBILITY INTO THE RICH CONTENT WE KNOW IS

  • THE RICH CONTENT WE KNOW IS THERE BUT ISN'T ALWAYS THE MOST

  • THERE BUT ISN'T ALWAYS THE MOST SUCCESSFUL.

  • SUCCESSFUL. THIS IS PART OF A BIGGER

  • THIS IS PART OF A BIGGER ROLLOUT.

  • ROLLOUT. THAT AIR SELL WILL CONTINUE TO

  • THAT AIR SELL WILL CONTINUE TO -- CAROUSEL WILL CONTINUE TO

  • -- CAROUSEL WILL CONTINUE TO UPDATE.

  • UPDATE. WE'LL CONTINUE TO SEE THE BEST

  • WE'LL CONTINUE TO SEE THE BEST OF THESE Q&A RESULTS, REDDIT

  • OF THESE Q&A RESULTS, REDDIT CONVERSATIONS THAT BUBBLE UP TO

  • CONVERSATIONS THAT BUBBLE UP TO THE TOP.

  • THE TOP. SO CONVERSATIONS ARE

  • SO CONVERSATIONS ARE INTERESTING.

  • INTERESTING. LIKE I SAID, REDDIT'S THE ONE

  • LIKE I SAID, REDDIT'S THE ONE PLACE WHERE CONVERSATION HAPPENS

  • PLACE WHERE CONVERSATION HAPPENS ON LINE AND WHERE THE BEST STUFF

  • ON LINE AND WHERE THE BEST STUFF AS DETERMINED BY THAT COMMUNITY

  • AS DETERMINED BY THAT COMMUNITY BUBBLES UP.

  • BUBBLES UP. THIS HAS BEEN FUN FOR ME BECAUSE

  • THIS HAS BEEN FUN FOR ME BECAUSE I'VE REVISITED MOMENTS AND TIMES

  • I'VE REVISITED MOMENTS AND TIMES IN MY LIFE THAT I DIDN'T I THINK

  • IN MY LIFE THAT I DIDN'T I THINK I WOULD EVER AGAIN THANKS TO

  • I WOULD EVER AGAIN THANKS TO REDDIT.

  • REDDIT. WE HAVE MILLIONS OF USERS ACROSS

  • WE HAVE MILLIONS OF USERS ACROSS 100,000-PLUS COMMUNITIES.

  • 100,000-PLUS COMMUNITIES. THEY UNDERSTAND NUANCE BECAUSE

  • THEY UNDERSTAND NUANCE BECAUSE IT'S A HUMAN ANSWERING THE

  • IT'S A HUMAN ANSWERING THE QUESTIONS AND ASKING IT.

  • QUESTIONS AND ASKING IT. THIS IS GREAT DATA FOR THE BING

  • THIS IS GREAT DATA FOR THE BING TEAM TO LEARN WHAT REALLY THE

  • TEAM TO LEARN WHAT REALLY THE BEST ANSWERS ARE FOR QUESTIONS

  • BEST ANSWERS ARE FOR QUESTIONS THAT MIGHT NOT BE THE EASIEST

  • THAT MIGHT NOT BE THE EASIEST FOR A ROBOT.

  • FOR A ROBOT. FOR INSTANCE, HOW ACCURATE IS

  • FOR INSTANCE, HOW ACCURATE IS HBO'S "BAND OF BROTHERS"?

  • HBO'S "BAND OF BROTHERS"? THIS WAS TOTALLY SERENDIPITOUS.

  • THIS WAS TOTALLY SERENDIPITOUS. WHEN THE TEAM PRESENTED THIS, I

  • WHEN THE TEAM PRESENTED THIS, I GOT EXCITED.

  • GOT EXCITED. "BAND OF BROTHERS" WAS THE SHOW

  • "BAND OF BROTHERS" WAS THE SHOW THAT STEVE AND I WOULD BINGE ON

  • THAT STEVE AND I WOULD BINGE ON WHILE WE WERE BUILDING REDDIT.

  • WHILE WE WERE BUILDING REDDIT. AND WE'D AT THE END OF A LONG

  • AND WE'D AT THE END OF A LONG DAY, WE'D GET ON TOP OF THE ROOF

  • DAY, WE'D GET ON TOP OF THE ROOF IN SOMERVILLE AND CRACK OPEN A

  • IN SOMERVILLE AND CRACK OPEN A COUPLE OF BEERS AND WATCH "BAND

  • COUPLE OF BEERS AND WATCH "BAND OF BROTHERS."

  • OF BROTHERS." WE OBSESSED OVER THE SERIES.

  • WE OBSESSED OVER THE SERIES. IT'S A REALLY WELL-DONE SERIES.

  • IT'S A REALLY WELL-DONE SERIES. I WAS A HISTORY MAJOR, BELIEVE

  • I WAS A HISTORY MAJOR, BELIEVE IT OR NOT.

  • IT OR NOT. I STUDIED EUROPEAN DEGREE.

  • I STUDIED EUROPEAN DEGREE. WITH THE DEGREE, I STILL HAD

  • WITH THE DEGREE, I STILL HAD QUESTIONS WATCHING THIS.

  • QUESTIONS WATCHING THIS. AND WHEN I DIVE ON TO THE ASK

  • AND WHEN I DIVE ON TO THE ASK HISTORIANS COMMUNITY ON REDDIT,

  • HISTORIANS COMMUNITY ON REDDIT, I ACTUALLY HAVE A WINDOW INTO

  • I ACTUALLY HAVE A WINDOW INTO THE VERY BEST HISTORIANS,

  • THE VERY BEST HISTORIANS, HISTORY STUDENTS, MAYBE ARMCHAIR

  • HISTORY STUDENTS, MAYBE ARMCHAIR HISTORIANS IMAGINABLE BECAUSE

  • HISTORIANS IMAGINABLE BECAUSE THIS COMMUNITY ACTUALLY

  • THIS COMMUNITY ACTUALLY SELF-CURATES.

  • SELF-CURATES. THEY REQUIRE CITATION FOR POSTS.

  • THEY REQUIRE CITATION FOR POSTS. AND THEY CAN PROVIDE A REALLY

  • AND THEY CAN PROVIDE A REALLY VALUABLE INSIGHT ON A SUBJECT

  • VALUABLE INSIGHT ON A SUBJECT MATTER THAT HAS SHADES OF

  • MATTER THAT HAS SHADES OF NUANCE.

  • NUANCE. A QUESTION LIKE HOW ACCURATE IS

  • A QUESTION LIKE HOW ACCURATE IS "BAND OF BROTHERS" IS NOT A

  • "BAND OF BROTHERS" IS NOT A SIMPLE, BINARY YES, RIGHT?

  • SIMPLE, BINARY YES, RIGHT? IT'S, WELL, YEAH, IN A LOT OF

  • IT'S, WELL, YEAH, IN A LOT OF WAYS IT IS.

  • WAYS IT IS. HERE'S WHAT THEY GOT RIGHT,

  • HERE'S WHAT THEY GOT RIGHT, HERE'S WHAT THEY GOT WRONG, HERE

  • HERE'S WHAT THEY GOT WRONG, HERE ARE THINGS THAT ARE DISPUTED,

  • ARE THINGS THAT ARE DISPUTED, AND HERE ARE TWO POINTS OF VIEW.

  • AND HERE ARE TWO POINTS OF VIEW. AS HUMANS, WE LOVE THIS --

  • AS HUMANS, WE LOVE THIS -- ESPECIALLY IF YOU LIKE HISTORY.

  • ESPECIALLY IF YOU LIKE HISTORY. WE GET TO DIG INTO THIS BECAUSE

  • WE GET TO DIG INTO THIS BECAUSE THERE ARE DIFFERENT

  • THERE ARE DIFFERENT PERSPECTIVES.

  • PERSPECTIVES. ROBOTS DON'T WORK SO WELL WITH

  • ROBOTS DON'T WORK SO WELL WITH THE NUANCE UNLESS THEY HAVE THIS

  • THE NUANCE UNLESS THEY HAVE THIS DATA.

  • DATA. NOW WE'RE SEEING RESULTS THAT

  • NOW WE'RE SEEING RESULTS THAT ARE HELPFUL AND VALUABLE.

  • ARE HELPFUL AND VALUABLE. YOU SEE TRENDING COMMENTS.

  • YOU SEE TRENDING COMMENTS. LOOK, IT'S LIKE I AM TRANSPORTED

  • LOOK, IT'S LIKE I AM TRANSPORTED BACK TO THOSE HISTORY CLASSES IN

  • BACK TO THOSE HISTORY CLASSES IN SCHOOL WITH THE VERY BEST IDEAS

  • SCHOOL WITH THE VERY BEST IDEAS BEING VOTED UP.

  • BEING VOTED UP. WE'RE SEEING THE SAME THING EVEN

  • WE'RE SEEING THE SAME THING EVEN AROUND THINGS THAT MAY SEEM

  • AROUND THINGS THAT MAY SEEM OBVIOUS LIKE WHY MY POT ISN'T

  • OBVIOUS LIKE WHY MY POT ISN'T BOILING WITH WATER.

  • BOILING WITH WATER. NOW LOOK, I KNOW IF YOU WATCH

  • NOW LOOK, I KNOW IF YOU WATCH IT, TECHNICAL AT THE'S NOT

  • IT, TECHNICAL AT THE'S NOT SUPPOSED.

  • SUPPOSED. TO -- TECHNICALLY IT'S NOT

  • TO -- TECHNICALLY IT'S NOT SUPPOSED.

  • SUPPOSED. TO TURNS OUT THAT'S SCIENTIFIC

  • TO TURNS OUT THAT'S SCIENTIFIC FACT.

  • FACT. IF YOU HAVE TRIED, LIKE I HAVE,

  • IF YOU HAVE TRIED, LIKE I HAVE, TO BOIL ONE OF THOSE HUGE -- I

  • TO BOIL ONE OF THOSE HUGE -- I WAS DOING A CRAWFISH BOIMP YOU

  • WAS DOING A CRAWFISH BOIMP YOU NAIL WITH WATER AND PUT IT ON

  • NAIL WITH WATER AND PUT IT ON HIGH, AND YOU WILL FIND IT TAKES

  • HIGH, AND YOU WILL FIND IT TAKES A REALLY LONG TIME.

  • A REALLY LONG TIME. THERE WAS A COMMUNITY OF PEOPLE

  • THERE WAS A COMMUNITY OF PEOPLE FRUSTRATED, WONDERING, AND

  • FRUSTRATED, WONDERING, AND ASKING BING FOR AN ANSWER TO

  • ASKING BING FOR AN ANSWER TO THIS.

  • THIS. NOW THEY CAN GET REALLY HELPFUL

  • NOW THEY CAN GET REALLY HELPFUL RESULTS.

  • RESULTS. THEY CAN GET UNDERSTANDING FROM

  • THEY CAN GET UNDERSTANDING FROM A CHEMIST'S POINT OF VIEW AND

  • A CHEMIST'S POINT OF VIEW AND FROM A CHEF'S POINT OF VIEW AND

  • FROM A CHEF'S POINT OF VIEW AND MAYBE TRICKS TO HELP SOLVE THAT

  • MAYBE TRICKS TO HELP SOLVE THAT LITTLE BOILING PROBLEM.

  • LITTLE BOILING PROBLEM. THIS IS ALL ABOUT PRESENTING

  • THIS IS ALL ABOUT PRESENTING THAT GREAT CONTENT IN A MUCH

  • THAT GREAT CONTENT IN A MUCH MORE ACCESSIBLE WAY TO BING

  • MORE ACCESSIBLE WAY TO BING USERS WHO MAY OR MAY NOT EVEN BE

  • USERS WHO MAY OR MAY NOT EVEN BE AWARE OF REDDIT WHEN THEY'RE

  • AWARE OF REDDIT WHEN THEY'RE RUNNING THE QUERY BECAUSE WE

  • RUNNING THE QUERY BECAUSE WE KNOW THE CONTENT IS RAUBL

  • RUNNING THE QUERY BECAUSE WE KNOW THE CONTENT IS RAVALUABLE.

  • KNOW THE CONTENT IS RAVALUABLE. WE SEE THIS AS A WINDOW INTO,

  • WE SEE THIS AS A WINDOW INTO, FRANKLY, HELP PEOPLE DISCOVER

  • FRANKLY, HELP PEOPLE DISCOVER COMMUNITIES THEY DIDN'T EVEN

  • COMMUNITIES THEY DIDN'T EVEN KNOW THEY WANTED TO BE A PART

  • KNOW THEY WANTED TO BE A PART OF.

  • OF. THEY DIDN'T EACH KNOW THEY WERE

  • THEY DIDN'T EACH KNOW THEY WERE INTO.

  • INTO. -- THEY DIDN'T EVEN KNOW THEY

  • -- THEY DIDN'T EVEN KNOW THEY WERE INTO.

  • WERE INTO. 130,000 COMMUNITIES MEANS A TON

  • 130,000 COMMUNITIES MEANS A TON OF OPPORTUNITIES FOR YOU TO FIND

  • OF OPPORTUNITIES FOR YOU TO FIND THINGS YOU LOVE ON REDDIT.

  • THINGS YOU LOVE ON REDDIT. IT'S ABOUT CUTE ANIMALS

  • IT'S ABOUT CUTE ANIMALS SOMETIMES.

  • SOMETIMES. THIS IS A WINDOW INTO THE AWW

  • THIS IS A WINDOW INTO THE AWW COMMUNITY, ONE OF OUR LARGEST,

  • COMMUNITY, ONE OF OUR LARGEST, FEATURING PHOTOS OF CATS, DOGS,

  • FEATURING PHOTOS OF CATS, DOGS, AND OTHER ANIMALS.

  • AND OTHER ANIMALS. NOW WITH THIS WONDERFUL

  • NOW WITH THIS WONDERFUL FIRST-CLASS TREATMENT, WHEN YOU

  • FIRST-CLASS TREATMENT, WHEN YOU SEE THE RESULTS, YOU SEE A

  • SEE THE RESULTS, YOU SEE A WINDOW IN.

  • WINDOW IN. YOU SEE THE VOTES, YOU SEE THE

  • YOU SEE THE VOTES, YOU SEE THE COMMENTS, YOU SEE BEAUTIFUL

  • COMMENTS, YOU SEE BEAUTIFUL THUMBNAILS.

  • THUMBNAILS. YOU ARE INVITED INTO A COMMUNITY

  • YOU ARE INVITED INTO A COMMUNITY NOW IN A WAY THAT IS PROBABLY

  • NOW IN A WAY THAT IS PROBABLY NEW TO A LOT OF INTERNET USERS.

  • NEW TO A LOT OF INTERNET USERS. WE'RE SO USED TO A ONE-WAY

  • WE'RE SO USED TO A ONE-WAY CONVERSATION.

  • CONVERSATION. NOW WE'RE EXPOSING THEM TO THE

  • NOW WE'RE EXPOSING THEM TO THE MAGIC OF REAL CONVERSATION ON

  • MAGIC OF REAL CONVERSATION ON REDDIT.

  • REDDIT. MAYBE YOU WOULD HAVE GOTTEN

  • MAYBE YOU WOULD HAVE GOTTEN CONFUSED OTHERWISE.

  • CONFUSED OTHERWISE. DATA IS BEAUTIFUL.

  • DATA IS BEAUTIFUL. ON THE SURFACE SEEMS LIKE A

  • ON THE SURFACE SEEMS LIKE A COMMUNITY ALL ABOUT SAYING HOW

  • COMMUNITY ALL ABOUT SAYING HOW ATTRACTIVE THE ANDROID FROM

  • ATTRACTIVE THE ANDROID FROM "STAR TREK" IS, AND YOU GRAMMAR

  • "STAR TREK" IS, AND YOU GRAMMAR AFICIONADOS KNOW IT'S ARE

  • AFICIONADOS KNOW IT'S ARE BEAUTIFUL BUT WE'RE NOT GOING TO

  • BEAUTIFUL BUT WE'RE NOT GOING TO KNIT PICK.

  • KNIT PICK. IT'S THE LARGEST COMMUNITY OF

  • IT'S THE LARGEST COMMUNITY OF DATA VISUALIZATION AND STATS

  • DATA VISUALIZATION AND STATS FANS.

  • FANS. ALL THEY DO IS SHARE DATA SETS

  • ALL THEY DO IS SHARE DATA SETS AND VISUALIZATIONS ALL THE TIME.

  • AND VISUALIZATIONS ALL THE TIME. A FABULOUS COMMUNITY.

  • A FABULOUS COMMUNITY. NOW IT'S SHOWING UP IN CONTEXT

  • NOW IT'S SHOWING UP IN CONTEXT IN A BEAUTIFUL WAY TO SEE WHAT

  • IN A BEAUTIFUL WAY TO SEE WHAT THE TRENDING ASPECTS AND

  • THE TRENDING ASPECTS AND TRENDING DISCUSSIONS ARE ON THE

  • TRENDING DISCUSSIONS ARE ON THE COMMUNITY AND DIRECTLY LINK TO

  • COMMUNITY AND DIRECTLY LINK TO REDDIT POSTS.

  • REDDIT POSTS. LIKE I SAID, THIS IS MUTUALLY

  • LIKE I SAID, THIS IS MUTUALLY BENEFICIAL.

  • BENEFICIAL. IT'S HELPING BRING A WHOLE NEW

  • IT'S HELPING BRING A WHOLE NEW EVEN BROADER SWATH OF INTERNET

  • EVEN BROADER SWATH OF INTERNET USERS ON TO REDDIT IN A USEFUL,

  • USERS ON TO REDDIT IN A USEFUL, ACCESSIBLE, BEAUTIFUL WAY, AND

  • ACCESSIBLE, BEAUTIFUL WAY, AND THEN IT'S GOING TO POWER BING

  • THEN IT'S GOING TO POWER BING SEARCH RESULTS SO THOSE TON GET

  • SEARCH RESULTS SO THOSE TON GET BETTER OVER TIME USING DATA THAT

  • BETTER OVER TIME USING DATA THAT ONLY REDDIT HAS.

  • ONLY REDDIT HAS. AND THAT'S THANKS TO A LOT OF

  • AND THAT'S THANKS TO A LOT OF YOU, THANKS TO YOUR COMMENTS AND

  • YOU, THANKS TO YOUR COMMENTS AND UP VOTES.

  • UP VOTES. WE KNOW THIS, SO WE CAN SHARE IT

  • WE KNOW THIS, SO WE CAN SHARE IT AND MAKE PLATFORMS BETTER AS A

  • AND MAKE PLATFORMS BETTER AS A RESULT.

  • RESULT. LIKE I SAID FROM JUMP THIS IS

  • LIKE I SAID FROM JUMP THIS IS JUST THE START, REDDIT MAY BE 12

  • JUST THE START, REDDIT MAY BE 12 YEARS OLD ON THE INTERNET, BUT

  • YEARS OLD ON THE INTERNET, BUT IT'S REALLY ONLY A FEW YEARS OLD

  • IT'S REALLY ONLY A FEW YEARS OLD AS A BUSINESS.

  • AS A BUSINESS. THE GROWTH AND THE GREAT, GREAT

  • THE GROWTH AND THE GREAT, GREAT SUCCESS WE'VE HAD IN THE LAST

  • SUCCESS WE'VE HAD IN THE LAST FEW YEARS IS JUST THE BEGINNING.

  • FEW YEARS IS JUST THE BEGINNING. THIS PARTNERSHIP IS LIKE A CROWN

  • THIS PARTNERSHIP IS LIKE A CROWN JEWEL FOR US.

  • JEWEL FOR US. WE KNOW WE STILL HAVE A LOT OF

  • WE KNOW WE STILL HAVE A LOT OF WORK TO DO, AND WE HAVE BIG

  • WORK TO DO, AND WE HAVE BIG AMBITIONS.

  • AMBITIONS. THIS SCRATCHES THE SURFACE ON

  • THIS SCRATCHES THE SURFACE ON OUR RELATIONSHIP WITH MICROSOFT

  • OUR RELATIONSHIP WITH MICROSOFT A.I. AND REDDIT DATA.

  • A.I. AND REDDIT DATA. WE'RE ALSO LAUNCHING TODAY HERE

  • WE'RE ALSO LAUNCHING TODAY HERE POWER BI.

  • POWER BI. I'VE HAD TO TALK TO CMOs ALL

  • I'VE HAD TO TALK TO CMOs ALL OVER, FORTUNE 100 COMPANIES, WHO

  • OVER, FORTUNE 100 COMPANIES, WHO HAVE BEEN ASKING FOR A CRYSTAL

  • HAVE BEEN ASKING FOR A CRYSTAL BALL.

  • BALL. WOULDN'T WE ALL LIKE THAT, TO BE

  • WOULDN'T WE ALL LIKE THAT, TO BE ABLE TO GET IN FRONT OF THE

  • ABLE TO GET IN FRONT OF THE WATER COOLER WHERE THE

  • WATER COOLER WHERE THE CONVERSATIONS, THE REAL

  • CONVERSATIONS, THE REAL CONVERSATIONS ARE HAPPENING

  • CONVERSATIONS ARE HAPPENING AMONG THE PEOPLE WHO WE CARE

  • AMONG THE PEOPLE WHO WE CARE MOST ABOUT, ABOUT THE THINGS WE

  • MOST ABOUT, ABOUT THE THINGS WE CARE MOST ABOUT.

  • CARE MOST ABOUT. AND REDDIT IS THE PLACE.

  • AND REDDIT IS THE PLACE. WHETHER YOU WANT TO KNOW WHAT

  • WHETHER YOU WANT TO KNOW WHAT THE TRENDING SNEAKERS ARE BEFORE

  • THE TRENDING SNEAKERS ARE BEFORE ANYONE ELSE -- I'VE HAD

  • ANYONE ELSE -- I'VE HAD COUNTLESS PEOPLE COME UP TO ME

  • COUNTLESS PEOPLE COME UP TO ME AND JUST THANK ME.

  • AND JUST THANK ME. I'VE ASKED THEM WHY, AND THEY

  • I'VE ASKED THEM WHY, AND THEY SAID R/BITCOIN.

  • SAID R/BITCOIN. I CAN ONLY IMAGINE IT'S BECAUSE

  • I CAN ONLY IMAGINE IT'S BECAUSE SIX YEARS AGO THEY WERE ON THAT

  • SIX YEARS AGO THEY WERE ON THAT COMMUNITY SEEING THE INERTIA,

  • COMMUNITY SEEING THE INERTIA, THE TRACTION, BUYING AT AVERAGE

  • THE TRACTION, BUYING AT AVERAGE SHARE OF BITCOIN AT A WAY

  • SHARE OF BITCOIN AT A WAY CHEAPER PRICE THAN IT IS TODAY

  • CHEAPER PRICE THAN IT IS TODAY AND HAVE BENEFITED TREMENDOUSLY.

  • AND HAVE BENEFITED TREMENDOUSLY. WHETHER YOU WANT TO KNOW THE

  • WHETHER YOU WANT TO KNOW THE KRENDS FOR CRYPTO CURRENCY OR

  • KRENDS FOR CRYPTO CURRENCY OR WHAT MAKE-UP PEOPLE ARE HOT FOR,

  • WHAT MAKE-UP PEOPLE ARE HOT FOR, YOU WILL FIND IT ON REDDIT

  • YOU WILL FIND IT ON REDDIT FIRST.

  • FIRST. HISTORICALLY, IT'S BEEN HARD.

  • HISTORICALLY, IT'S BEEN HARD. YOU HAD TO SPEND LOTS OF TIMES

  • YOU HAD TO SPEND LOTS OF TIMES ON THE COMMUNITY, BEING ON THE

  • ON THE COMMUNITY, BEING ON THE PLATFORM.

  • PLATFORM. THANKS TO THIS, WE HAVE THE

  • THANKS TO THIS, WE HAVE THE BUSINESS INTELLIGENCE MODELS TO

  • BUSINESS INTELLIGENCE MODELS TO DO THE WORK FOR YOU.

  • DO THE WORK FOR YOU. THE ROBOTS ARE DOING THE HARD

  • THE ROBOTS ARE DOING THE HARD STUFF.

  • STUFF. THE TRENDS THAT YOU WANT TO

  • THE TRENDS THAT YOU WANT TO TRACK, THE KEYWORDS THAT YOU

  • TRACK, THE KEYWORDS THAT YOU WANT TO FOLLOW, ANY OF THE BRAND

  • WANT TO FOLLOW, ANY OF THE BRAND INSIGHTS YOU WANT TO MONITOR,

  • INSIGHTS YOU WANT TO MONITOR, WE'RE LETTING THE ROBOTS DO THAT

  • WE'RE LETTING THE ROBOTS DO THAT WORK.

  • WORK. WE WANT ALL OF THESE PEOPLE TO

  • WE WANT ALL OF THESE PEOPLE TO GET THIS DATA SO THAT WE CAN

  • GET THIS DATA SO THAT WE CAN GIVE THEM A CRYSTAL BALL.

  • GIVE THEM A CRYSTAL BALL. TURNS OUT IT'S BEEN ON REDDIT

  • TURNS OUT IT'S BEEN ON REDDIT FOR A WHILE.

  • FOR A WHILE. WE'RE GRATEFUL NOW TO HAVE

  • WE'RE GRATEFUL NOW TO HAVE MICROSOFT TO HELP US BRING IT TO

  • MICROSOFT TO HELP US BRING IT TO LIFE, TO HELP US BUILD THE

  • LIFE, TO HELP US BUILD THE CRYSTAL BALL.

  • CRYSTAL BALL. AND WE WERE LUCKY, TOO.

  • AND WE WERE LUCKY, TOO. ALEX RICKAMINI AND NORM CADORI,

  • ALEX RICKAMINI AND NORM CADORI, HEAD OF BUSINESS PARTNERSHIPS,

  • HEAD OF BUSINESS PARTNERSHIPS, ARE HERE.

  • ARE HERE. WE HAVE A COOL BOOTH AROUND THE

  • WE HAVE A COOL BOOTH AROUND THE CORNER.

  • CORNER. YOU CAN TALK TO THEM, ASK

  • YOU CAN TALK TO THEM, ASK ANYTHING REGARDING POWER BI OR

  • ANYTHING REGARDING POWER BI OR ANY OF THE STUFF WE'VE ANNOUNCED

  • ANY OF THE STUFF WE'VE ANNOUNCED TO.

  • TO. AGAIN, I CAN'T STRESS ENOUGH

  • AGAIN, I CAN'T STRESS ENOUGH THIS IS JUST THE START.

  • THIS IS JUST THE START. AND THIS HAS BEEN AN EXCITING

  • AND THIS HAS BEEN AN EXCITING TWO, THREE YEARS SINCE COMING

  • TWO, THREE YEARS SINCE COMING BACK.

  • BACK. THE NEXT TWO OR THREE WILL BE

  • THE NEXT TWO OR THREE WILL BE EVEN MORE AMAZING.

  • EVEN MORE AMAZING. I'M GRATEFUL TO MICROSOFT FOR

  • I'M GRATEFUL TO MICROSOFT FOR HELPING BE SUCH WONDERFUL

  • HELPING BE SUCH WONDERFUL PARTNERS IN THIS JOURNEY.

  • PARTNERS IN THIS JOURNEY. THANK YOU.

  • THANK YOU. [ APPLAUSE ]

  • [ APPLAUSE ] >> IT'S AN EXCITING PARTNERSHIP.

  • >> IT'S AN EXCITING PARTNERSHIP. I COULDN'T THINK ABOUT IT ANY

  • I COULDN'T THINK ABOUT IT ANY BETTER IN PARTNERSHIPS, IMAGINE

  • BETTER IN PARTNERSHIPS, IMAGINE WHAT WE CAN DO TOGETHER WITH 330

  • WHAT WE CAN DO TOGETHER WITH 330 MILLION REDDIT USERS AND THE 450

  • MILLION REDDIT USERS AND THE 450 MILLION BING USERS WORLDWIDE.

  • MILLION BING USERS WORLDWIDE. IT'S AMAZING THAT WE CAN REALLY

  • IT'S AMAZING THAT WE CAN REALLY USE A.I. TO TRANSFORM NOT ONLY

  • USE A.I. TO TRANSFORM NOT ONLY THE SEARCH EXPERIENCE BUT ALSO

  • THE SEARCH EXPERIENCE BUT ALSO THE WEB COMMUNITY CAN ALL WORK

  • THE WEB COMMUNITY CAN ALL WORK TOGETHER.

  • TOGETHER. I HOPE YOU WILL HAVE A CHANCE TO

  • I HOPE YOU WILL HAVE A CHANCE TO REALLY TRY THIS NEW BING

  • REALLY TRY THIS NEW BING EXPERIENCE WITH ALL THE

  • EXPERIENCE WITH ALL THE INTELLIGENCE ANSWERS AND

  • INTELLIGENCE ANSWERS AND PERSPECTIVES AND CONVERSATIONS.

  • PERSPECTIVES AND CONVERSATIONS. THIS IS A NEW NORM, AS YOU THINK

  • THIS IS A NEW NORM, AS YOU THINK ABOUT THE NEW USER SEARCH

  • ABOUT THE NEW USER SEARCH EXPERIENCE.

  • EXPERIENCE. I WANT TO SWITCH GEARS A LITTLE

  • I WANT TO SWITCH GEARS A LITTLE BIT.

  • BIT. TALKING ABOUT ANOTHER PLACE

  • TALKING ABOUT ANOTHER PLACE WHERE INTELLIGENCE WILL COME UP.

  • WHERE INTELLIGENCE WILL COME UP. THAT IS REALLY INTELLIGENT

  • THAT IS REALLY INTELLIGENT DIGITAL ASSISTANCE, CORE TAN AMP

  • DIGITAL ASSISTANCE, CORE TAN AMP I'M SURE BY -- CORTANA.

  • I'M SURE BY -- CORTANA. I'M SURE BY NOW YOU HAVE HEARD

  • I'M SURE BY NOW YOU HAVE HEARD OF INTELLIGENT ASSISTANTS

  • OF INTELLIGENT ASSISTANTS POPPING UP FROM MANY, MANY

  • POPPING UP FROM MANY, MANY COMPANIES.

  • COMPANIES. YOU DEFINITELY HAVE A QUESTION

  • YOU DEFINITELY HAVE A QUESTION ABOUT WHAT'S SO UNIQUE ABOUT THE

  • ABOUT WHAT'S SO UNIQUE ABOUT THE MICROSOFT CORTANA.

  • MICROSOFT CORTANA. I TELL YOU TWO THINGS ABOUT THE

  • I TELL YOU TWO THINGS ABOUT THE MICROSOFT CORTANA THAT'S REALLY

  • MICROSOFT CORTANA THAT'S REALLY UNIQUE.

  • UNIQUE. NUMBER ONE, CORTANA IS REALLY

  • NUMBER ONE, CORTANA IS REALLY DESIGNED FOR YOU TO GO ACROSS

  • DESIGNED FOR YOU TO GO ACROSS YOUR WORK AND LIFE.

  • YOUR WORK AND LIFE. AS YOU CAN IMAGINE THAT, THE

  • AS YOU CAN IMAGINE THAT, THE LINES BETWEEN WORK AND LIFE ARE

  • LINES BETWEEN WORK AND LIFE ARE BLURRY.

  • BLURRY. THINK ABOUT THAT.

  • THINK ABOUT THAT. THE E-MAIL ACCOUNTS THAT YOU USE

  • THE E-MAIL ACCOUNTS THAT YOU USE AT HOME AND WORK.

  • AT HOME AND WORK. THIS IS WHY WE DESIGNED CORTANA

  • THIS IS WHY WE DESIGNED CORTANA TO BECOME THE BEST ASSISTANT TO

  • TO BECOME THE BEST ASSISTANT TO GET THINGS DONE, WHETHER YOU'RE

  • GET THINGS DONE, WHETHER YOU'RE AT HOME, AT WORK,OR ON TH

  • GET THINGS DONE, WHETHER YOU'RE AT HOME, AT WORK,OR O OR ON THEO

  • GET THINGS DONE, WHETHER YOU'RE AT HOME, AT WORK,OR O OR ON THE.

  • AT HOME, AT WORK,OR O OR ON THE. AND CORTANA WILL HELP YOU FIND

  • AND CORTANA WILL HELP YOU FIND THE EMAILS AND REMIND YOU YOUR

  • THE EMAILS AND REMIND YOU YOUR COMMITMENTS YOU MAY OR MAY NOT

  • COMMITMENTS YOU MAY OR MAY NOT HAVE ALREADY FORGOTTEN.

  • HAVE ALREADY FORGOTTEN. AND IT WILL SHARE MEETING TIMES

  • AND IT WILL SHARE MEETING TIMES ON SHARED ACCOUNTS.

  • ON SHARED ACCOUNTS. THIS IS WHY WE HAVE ACTUALLY NOW

  • THIS IS WHY WE HAVE ACTUALLY NOW THE SUPPORT TO REALLY HAVE --

  • THE SUPPORT TO REALLY HAVE -- HELP YOU TO WORK ACROSS

  • HELP YOU TO WORK ACROSS DIFFERENT E-MAIL SYSTEMS.

  • DIFFERENT E-MAIL SYSTEMS. SO WE ACTUALLY NOW CAN WORK, YOU

  • SO WE ACTUALLY NOW CAN WORK, YOU KNOW, AT -- LOOK AT, YOU KNOW,

  • KNOW, AT -- LOOK AT, YOU KNOW, GMAIL SUPPORT FOR CALENDAR AND

  • GMAIL SUPPORT FOR CALENDAR AND E-MAIL SO CORTANA CAN HELP YOU

  • E-MAIL SO CORTANA CAN HELP YOU GET ACROSS MULTIPLE E-MAIL

  • GET ACROSS MULTIPLE E-MAIL SYSTEMS.

  • SYSTEMS. I'M VERY HAPPY TO ANNOUNCE THAT

  • I'M VERY HAPPY TO ANNOUNCE THAT WE HAVE THIS ABILITY TODAY.

  • WE HAVE THIS ABILITY TODAY. YOU KNOW, IN CORTANA, YOU WILL

  • YOU KNOW, IN CORTANA, YOU WILL SEE A DEMO SOON.

  • SEE A DEMO SOON. THE SECOND THING UNIQUE ABOUT

  • THE SECOND THING UNIQUE ABOUT CORTANA I WANT TO SHARE THAT

  • CORTANA I WANT TO SHARE THAT IT'S NOT REALLY ABOUT OUR OWN

  • IT'S NOT REALLY ABOUT OUR OWN CORTANA DEVICES ONLY.

  • CORTANA DEVICES ONLY. WE WANT TO BRING CORTANA TO AS

  • WE WANT TO BRING CORTANA TO AS MANY DEVICES AS POSSIBLE.

  • MANY DEVICES AS POSSIBLE. AND WE, FOR EXAMPLE, LAUNCHED

  • AND WE, FOR EXAMPLE, LAUNCHED THIS SPEAKER RECENTLY WITH A

  • THIS SPEAKER RECENTLY WITH A BEAUTIFUL VOICE QUALITY AND ALL

  • BEAUTIFUL VOICE QUALITY AND ALL THE DIGITAL ASSISTANT QUALITY

  • THE DIGITAL ASSISTANT QUALITY AND EASY EXPERIENCE.

  • AND EASY EXPERIENCE. AND WE ALSO ANNOUNCED THE

  • AND WE ALSO ANNOUNCED THE PARTNERSHIP BETWEEN CORTANA AND

  • PARTNERSHIP BETWEEN CORTANA AND ALEXA WITH AMAZON.

  • ALEXA WITH AMAZON. BECAUSE WE ACTUALLY BELIEVE THAT

  • BECAUSE WE ACTUALLY BELIEVE THAT IT'S IMPORTANT THAT WE OFFER IN

  • IT'S IMPORTANT THAT WE OFFER IN A UNIQUE USER EXPERIENCE A

  • A UNIQUE USER EXPERIENCE A INTEREST CROSS WORK IN THE LIFE

  • INTEREST CROSS WORK IN THE LIFE ON DIFFERENT DEVICES.

  • ON DIFFERENT DEVICES. THAT'S NOT ALL.

  • THAT'S NOT ALL. WE ALSO WANT TO SHOW WHAT IS

  • WE ALSO WANT TO SHOW WHAT IS MICROSOFT'S OWN WINDOWS AND

  • MICROSOFT'S OWN WINDOWS AND OFFICE AND OTHERS AND ALL THE

  • OFFICE AND OTHERS AND ALL THE iOS APPLICATIONS BEING ON THE

  • iOS APPLICATIONS BEING ON THE PLATFORMS.

  • PLATFORMS. THERE IS WHY I'M EXCITED TO

  • THERE IS WHY I'M EXCITED TO ANNOUNCE TWO NEW MOBILE LAWN

  • ANNOUNCE TWO NEW MOBILE LAWN CHAIRS ON THE PLATFORM.

  • CHAIRS ON THE PLATFORM. OUR OWN MICROSOFT LAUNCHER AND

  • OUR OWN MICROSOFT LAUNCHER AND CHEETAH MOBILE, YOU KNOW, THEY

  • CHEETAH MOBILE, YOU KNOW, THEY ACTUALLY HAVE ONE OF THOSE TOP

  • ACTUALLY HAVE ONE OF THOSE TOP PRODUCTIVITY LAUNCHERS IN ENJOY

  • PRODUCTIVITY LAUNCHERS IN ENJOY GOOGLE PLAY STORE.

  • GOOGLE PLAY STORE. AND THE CHEETAH MOBILE'S

  • AND THE CHEETAH MOBILE'S LAUNCHER WILL BE AVAILABLE

  • LAUNCHER WILL BE AVAILABLE IMMEDIATELY WITH OUR CORTANA

  • IMMEDIATELY WITH OUR CORTANA EMBEDDED, AND THE MICROSOFT

  • EMBEDDED, AND THE MICROSOFT LAUNCHER WILL HAVE CORTANA

  • LAUNCHER WILL HAVE CORTANA CAPABILITY IN A COUPLE OF

  • CAPABILITY IN A COUPLE OF MONTHS.

  • MONTHS. THIS INTEGRATION WITH CORTANA IS

  • THIS INTEGRATION WITH CORTANA IS REALLY -- WE DO THAT TO HELP

  • REALLY -- WE DO THAT TO HELP PEOPLE ACROSS MULTIPLE

  • PEOPLE ACROSS MULTIPLE PLATFORMS.

  • PLATFORMS. IT'S REALLY COMING BACK TO MY

  • IT'S REALLY COMING BACK TO MY EARLY POINT -- YOU THINK ABOUT

  • EARLY POINT -- YOU THINK ABOUT WORKING AND THE LINES WHERE YOU

  • WORKING AND THE LINES WHERE YOU NEED THE ASSISTANT.

  • NEED THE ASSISTANT. THIS IS REALLY OUR COMMITMENT TO

  • THIS IS REALLY OUR COMMITMENT TO HELP PEOPLE TO GET THINGS DONE

  • HELP PEOPLE TO GET THINGS DONE EVEN FASTER.

  • EVEN FASTER. ONE THING I WANT TO REMIND

  • ONE THING I WANT TO REMIND EVERYONE IS THAT AS WE DESIGN

  • EVERYONE IS THAT AS WE DESIGN THOSE DIGITAL ASSISTANTS LIKE

  • THOSE DIGITAL ASSISTANTS LIKE CORTANA, IT'S REALLY ABOUT THE

  • CORTANA, IT'S REALLY ABOUT THE CONVERSATIONAL A.I.

  • CONVERSATIONAL A.I. IT'S REALLY NOT JUST ABOUT YOU

  • IT'S REALLY NOT JUST ABOUT YOU HAVE ONE QUESTION AND YOU GET AN

  • HAVE ONE QUESTION AND YOU GET AN ANSWER, THEN YOU GET OUT OF

  • ANSWER, THEN YOU GET OUT OF THERE.

  • THERE. IT'S REALLY ENCOURAGING YOU TO

  • IT'S REALLY ENCOURAGING YOU TO GET INTO THE DIALOGUE.

  • GET INTO THE DIALOGUE. I'LL INVITE CHRISTINA TO COME UP

  • I'LL INVITE CHRISTINA TO COME UP AND SHOW THE INTERESTING CORTANA

  • AND SHOW THE INTERESTING CORTANA DEMOS.

  • DEMOS. CHRISTINA?

  • CHRISTINA? >> THANKS, HARRY.

  • >> THANKS, HARRY. FIRST AND FOREMOST, CORTANA IS A

  • FIRST AND FOREMOST, CORTANA IS A FANTASTIC WORKPLACE PRODUCTIVITY

  • FANTASTIC WORKPLACE PRODUCTIVITY ASSISTANT.

  • ASSISTANT. IT CAN HELP WITH THINGS THAT

  • IT CAN HELP WITH THINGS THAT NORMALLY TAKE A LOT OF TIME AND

  • NORMALLY TAKE A LOT OF TIME AND A LOT OF STEPS.

  • A LOT OF STEPS. ONE EXAMPLE IS FINDING TIME WITH

  • ONE EXAMPLE IS FINDING TIME WITH MY VERY BUSY VP JODI.

  • MY VERY BUSY VP JODI. HEY, CORTANA, SET UP A MEETING

  • HEY, CORTANA, SET UP A MEETING CALLED F.Y. '18 GOALS WITH JORDI

  • CALLED F.Y. '18 GOALS WITH JORDI RIVAS.

  • RIVAS. >> LOOKS LIKE YOU AND JORDI ARE

  • >> LOOKS LIKE YOU AND JORDI ARE BOTH FREE AT 9:30 A.M. ON

  • BOTH FREE AT 9:30 A.M. ON JANUARY 8th.

  • JANUARY 8th. WHEN WOULD YOU LIKE TO MEET?

  • WHEN WOULD YOU LIKE TO MEET? >> 9:30 A.M. ON JANUARY 8th.

  • >> 9:30 A.M. ON JANUARY 8th. >> OKAY, I'VE SCHEDULED '18

  • >> OKAY, I'VE SCHEDULED '18 GOALS FOR YOU AND JORDI AT 9:30

  • GOALS FOR YOU AND JORDI AT 9:30 A.M. ON MONDAY, JANUARY 8th.

  • A.M. ON MONDAY, JANUARY 8th. IS THAT RIGHT?

  • IS THAT RIGHT? >> YES.

  • >> YES. >> GOT IT.

  • >> GOT IT. JANUARY -- I TOLD YOU HE WAS

  • JANUARY -- I TOLD YOU HE WAS BUSY.

  • BUSY. BEFORE TODAY I WOULD HAVE WASTED

  • BEFORE TODAY I WOULD HAVE WASTED A LOT OF TIME GOING BACK AND

  • A LOT OF TIME GOING BACK AND FORTH TRYING TO FIGURE OUT WHEN

  • FORTH TRYING TO FIGURE OUT WHEN WE WERE BOTH FREE.

  • WE WERE BOTH FREE. NOW WITH CORTANA BECAUSE IT

  • NOW WITH CORTANA BECAUSE IT UNDERSTANDS MY CALENDAR AND

  • UNDERSTANDS MY CALENDAR AND JORDI'S CALENDAR, IT CAN SUGGEST

  • JORDI'S CALENDAR, IT CAN SUGGEST THE TIME THAT'S BEST FOR BOTH OF

  • THE TIME THAT'S BEST FOR BOTH OF US.

  • US. BEYOND A PURE WORKPLACE

  • BEYOND A PURE WORKPLACE PRODUCTIVITY ASSISTANT, WE ALL

  • PRODUCTIVITY ASSISTANT, WE ALL KNOW, AS HARRY SAID, THAT THE

  • KNOW, AS HARRY SAID, THAT THE LINE BETWEEN WARNING AND HOME,

  • LINE BETWEEN WARNING AND HOME, THEY'RE BLURRING MORE AND MORE

  • THEY'RE BLURRING MORE AND MORE EACH DAY.

  • EACH DAY. THE REAL VALUE IN CORTANA IS

  • THE REAL VALUE IN CORTANA IS MOVING ACROSS DEVICES AND

  • MOVING ACROSS DEVICES AND DIFFERENT ASPECTS OF OUR LIVES.

  • DIFFERENT ASPECTS OF OUR LIVES. IT'S DIFFICULT TO SCHEDULE A

  • IT'S DIFFICULT TO SCHEDULE A WORK TRIP IF YOU DON'T KNOW

  • WORK TRIP IF YOU DON'T KNOW WHAT'S ON YOUR PERSONAL

  • WHAT'S ON YOUR PERSONAL CALENDAR.

  • CALENDAR. WE ALL KNOW THAT SOMETIMES THE

  • WE ALL KNOW THAT SOMETIMES THE MOST URGENT E-MAIL YOU RECEIVE

  • MOST URGENT E-MAIL YOU RECEIVE DURING A WORKDAY IS FROM A

  • DURING A WORKDAY IS FROM A FAMILY MEMBER OR FRIEND.

  • FAMILY MEMBER OR FRIEND. CORTANA SUMMARIZES ACROSS YOUR

  • CORTANA SUMMARIZES ACROSS YOUR DIFFERENT E-MAIL ACCOUNTS.

  • DIFFERENT E-MAIL ACCOUNTS. HEY, CORTANA, WHAT NEW E-MAILS

  • HEY, CORTANA, WHAT NEW E-MAILS DO I HAVE?

  • DO I HAVE? >> YOU'VE GOT SIX NEW EMAILS IN

  • >> YOU'VE GOT SIX NEW EMAILS IN THE LAST HOUR.

  • THE LAST HOUR. ONE FROM ADAM KIRK MARKED

  • ONE FROM ADAM KIRK MARKED IMPORTANT.

  • IMPORTANT. THREE FROM ANNA WILLIAMS AND TWO

  • THREE FROM ANNA WILLIAMS AND TWO FROM JORDI RIBAS.

  • FROM JORDI RIBAS. WHICH CENTER DO YOU WANT TO HEAR

  • WHICH CENTER DO YOU WANT TO HEAR MORE ABOUT?

  • MORE ABOUT? >> ADAM, PLEASE.

  • >> ADAM, PLEASE. >> ADAM KIRK E-MAILED YOU ABOUT

  • >> ADAM KIRK E-MAILED YOU ABOUT CIRQUE DREAMS HOLIDAYS, MARKED

  • CIRQUE DREAMS HOLIDAYS, MARKED IMPORTANT WANT WANT TO HEAR IT?

  • IMPORTANT WANT WANT TO HEAR IT? >> YES, PLEASE.

  • >> YES, PLEASE. >> IT SAYS, "DON'T FORGET TO BY

  • >> IT SAYS, "DON'T FORGET TO BY CIRQUE TICKETS FOR YOUR PARENTS'

  • CIRQUE TICKETS FOR YOUR PARENTS' VISIT.

  • VISIT. WHAT DO YOU THINK ABOUT A

  • WHAT DO YOU THINK ABOUT A FRIDAY?

  • FRIDAY? XO, ME."

  • XO, ME." WHAT SHOULD I DO WITH THIS?

  • WHAT SHOULD I DO WITH THIS? REPLY OR NOTHING?

  • REPLY OR NOTHING? >> NOTHING.

  • >> NOTHING. >> ALL RIGHT.

  • >> ALL RIGHT. WE ARE ALL REALLY BUSY PEOPLE.

  • WE ARE ALL REALLY BUSY PEOPLE. BECAUSE CORTANA BLENDS WORK AND

  • BECAUSE CORTANA BLENDS WORK AND PERSONAL LIFE, I CAN TAKE CARE

  • PERSONAL LIFE, I CAN TAKE CARE OF THINGS AS THEY COME UP.

  • OF THINGS AS THEY COME UP. OF COURSE, I COULD SET A

  • OF COURSE, I COULD SET A REMINDER AND TAKE CARE OF THIS

  • REMINDER AND TAKE CARE OF THIS LATER, BUT THERE IS NO TIME LIKE

  • LATER, BUT THERE IS NO TIME LIKE THE PRESENT.

  • THE PRESENT. PROBLEM IS I DON'T EXACTLY KNOW

  • PROBLEM IS I DON'T EXACTLY KNOW WHEN MY PARENTS ARE COMING TO

  • WHEN MY PARENTS ARE COMING TO TOWN.

  • TOWN. HEY, CORTANA, FIND MOM AND DAD

  • HEY, CORTANA, FIND MOM AND DAD ON MY CALENDAR.

  • ON MY CALENDAR. >> YOU HAVE MOM AND DAD VISITING

  • >> YOU HAVE MOM AND DAD VISITING AT SEATTLE FROM WEDNESDAY,

  • AT SEATTLE FROM WEDNESDAY, DECEMBER 20th, TO WEDNESDAY,

  • DECEMBER 20th, TO WEDNESDAY, DECEMBER 27th.

  • DECEMBER 27th. >> OKAY.

  • >> OKAY. BECAUSE CORTANA IS ABOUT HELPING

  • BECAUSE CORTANA IS ABOUT HELPING YOU WHEREVER YOU ARE, IT

  • YOU WHEREVER YOU ARE, IT SUPPORTS INTEGRATION ACROSS

  • SUPPORTS INTEGRATION ACROSS CALENDARS WITH OFFICE 365,

  • CALENDARS WITH OFFICE 365, OUTLOOK, AND NEW EVEN GMAIL.

  • OUTLOOK, AND NEW EVEN GMAIL. HEY, CORTANA, HELP ME FIND

  • HEY, CORTANA, HELP ME FIND TICKETS TO CIRQUE DREAMS

  • TICKETS TO CIRQUE DREAMS HOLIDAYS IN SEATTLE ON DECEMBER

  • HOLIDAYS IN SEATTLE ON DECEMBER 22nd.

  • 22nd. >> I HAVE THREE SKILLS THAT CAN

  • >> I HAVE THREE SKILLS THAT CAN HELP YOU -- TICKET MASTER, GIG

  • HELP YOU -- TICKET MASTER, GIG SEEKER, AND STUB HUB.

  • SEEKER, AND STUB HUB. WHICH DO YOU WANT TO USE?

  • WHICH DO YOU WANT TO USE? >> TICKET MASTER, PLEASE.

  • >> TICKET MASTER, PLEASE. >> OKAY.

  • >> OKAY. OPENING TICKET MASTER.

  • OPENING TICKET MASTER. I FOUND "CIRQUE DREAMS HOLIDAYS"

  • I FOUND "CIRQUE DREAMS HOLIDAYS" IN DECEMBER ON THE 22nd.

  • IN DECEMBER ON THE 22nd. TICKETS ARE $40 TO $80.

  • TICKETS ARE $40 TO $80. DO YOU WANT TO PICK YOUR SEATS

  • DO YOU WANT TO PICK YOUR SEATS OR BUY THE BEST SEATS AVAILABLE?

  • OR BUY THE BEST SEATS AVAILABLE? >> BEST SEAT AVAILABLE, PLEASE.

  • >> BEST SEAT AVAILABLE, PLEASE. >> OKAY.

  • >> OKAY. HOW MANY SEATS DO YOU NEED?

  • HOW MANY SEATS DO YOU NEED? >> FOUR, PLEASE.

  • >> FOUR, PLEASE. >> OKAY.

  • >> OKAY. I FOUND FOUR SEATS ROW D, SEATS

  • I FOUND FOUR SEATS ROW D, SEATS SIX TO NINE.

  • SIX TO NINE. SOUND GOOD?

  • SOUND GOOD? >> YES.

  • >> YES. >> OKAY.

  • >> OKAY. I HAVE FOUR DREAMS FOR "CIRQUE

  • I HAVE FOUR DREAMS FOR "CIRQUE DREAMS HOLLANDAISE" AT THE

  • DREAMS HOLLANDAISE" AT THE PARAMOUNT THEATER IN SEATTLE ON

  • PARAMOUNT THEATER IN SEATTLE ON FRIDAY, DECEMBER 22nd, AT 7:30

  • FRIDAY, DECEMBER 22nd, AT 7:30 P.M.

  • P.M. THE TOTAL COMES OUT TO $394.

  • THE TOTAL COMES OUT TO $394. SAY "CONFIRM" TO PURCHASE.

  • SAY "CONFIRM" TO PURCHASE. >> CONFIRM.

  • >> CONFIRM. >> OKAY.

  • >> OKAY. YOU'RE ALL SET S

  • >> OKAY. YOU'RE ALL SET .

  • YOU'RE ALL SET . WOULD YOU LIKE ME TO ADD THIS TO

  • WOULD YOU LIKE ME TO ADD THIS TO YOUR CALENDAR?

  • YOUR CALENDAR? >> YES.

  • >> YES. PLEASE ALSO INVITE ADAM.

  • PLEASE ALSO INVITE ADAM. >> OKAY.

  • >> OKAY. I'VE SENT THIS EVENT TO ADAM

  • I'VE SENT THIS EVENT TO ADAM KIRK AND ADDED IT TO YOUR

  • KIRK AND ADDED IT TO YOUR CALENDAR.

  • CALENDAR. >> THANK YOU FOR LETTING ME GET

  • >> THANK YOU FOR LETTING ME GET THAT TAKEN CARE OF.

  • THAT TAKEN CARE OF. NOW LET ME WALK YOU THROUGH THE

  • NOW LET ME WALK YOU THROUGH THE COOL THINGS THAT JUST HAPPENED

  • COOL THINGS THAT JUST HAPPENED HERE.

  • HERE. INSTEAD OF ME NEEDING WHICH

  • INSTEAD OF ME NEEDING WHICH SPECIFIC SKILL TO ASK FOR,

  • SPECIFIC SKILL TO ASK FOR, CORTANA USED SKILL SUGGESTION TO

  • CORTANA USED SKILL SUGGESTION TO CONNECT ME TO BEST PLACE TO BUY

  • CONNECT ME TO BEST PLACE TO BUY TICKETS.

  • TICKETS. AND THEN CONNECTED ME TO THAT

  • AND THEN CONNECTED ME TO THAT THIRD-PARTY SKILL.

  • THIRD-PARTY SKILL. AND BECAUSE OF MY -- I HAVE

  • AND BECAUSE OF MY -- I HAVE CREDIT CARD WITH TICKET MASTER,

  • CREDIT CARD WITH TICKET MASTER, MY PURCHASE PROCESS WAS A

  • MY PURCHASE PROCESS WAS A BREEZE.

  • BREEZE. CORTANA USED SKILL TRAINING

  • CORTANA USED SKILL TRAINING WHICH UNDERSTANDS MY -- SKILL

  • WHICH UNDERSTANDS MY -- SKILL CHAINING WHICH UNDERSTANDS MY

  • CHAINING WHICH UNDERSTANDS MY OVERALL CONTENT TO USE THE NEXT

  • OVERALL CONTENT TO USE THE NEXT MOST-RELEVANT SKILL.

  • MOST-RELEVANT SKILL. IN THIS CASE, IT WAS ADDING AN

  • IN THIS CASE, IT WAS ADDING AN EVENT TO MY CALENDAR.

  • EVENT TO MY CALENDAR. HOW GREAT WAS THAT?

  • HOW GREAT WAS THAT? USING MY VOICE, CORTANA WAS ABLE

  • USING MY VOICE, CORTANA WAS ABLE TO HELP ME BE SUPER PRODUCTIVE

  • TO HELP ME BE SUPER PRODUCTIVE IN WORK AND AT HOME, ALL OF THIS

  • IN WORK AND AT HOME, ALL OF THIS DONE HANDS FREE.

  • DONE HANDS FREE. THIS CALENDAR FEATURE IS

  • THIS CALENDAR FEATURE IS AVAILABLE NOW.

  • AVAILABLE NOW. THE NEXT GENERATION OF OUR

  • THE NEXT GENERATION OF OUR CORTANA SKILLS KIT IS ALSO

  • CORTANA SKILLS KIT IS ALSO AVAILABLE TODAY.

  • AVAILABLE TODAY. AND THEN E-MAIL FEATURES THE

  • AND THEN E-MAIL FEATURES THE DEMO TODAY WILL BE AVAILABLE

  • DEMO TODAY WILL BE AVAILABLE NEXT MONTH.

  • NEXT MONTH. OF COURSE, CORTANA CAN HELP YOU

  • OF COURSE, CORTANA CAN HELP YOU IN MORE PLACES THAN JUST THIS

  • IN MORE PLACES THAN JUST THIS GREAT SPEAKER.

  • GREAT SPEAKER. HERE'S A QUICK LOOK IN ALL --

  • HERE'S A QUICK LOOK IN ALL -- SOME OF THE PLACES THAT CORTANA

  • SOME OF THE PLACES THAT CORTANA CAN HELP YOU BE MORE PRODUCTIVE

  • CAN HELP YOU BE MORE PRODUCTIVE AND GET THINGS DONE ACROSS

  • AND GET THINGS DONE ACROSS WINDOWS, EDGE, SKYPE, AND THE

  • WINDOWS, EDGE, SKYPE, AND THE NEW MOBILE LAUNCHERS.

  • NEW MOBILE LAUNCHERS. >> HEY, CORTANA, PLAY MY DANCE

  • >> HEY, CORTANA, PLAY MY DANCE MIX.

  • MIX.

  • ♪ >> I BOOKED YOUR WORKOUT FOR

  • >> I BOOKED YOUR WORKOUT FOR 6:00 P.M. TONIGHT.

  • 6:00 P.M. TONIGHT. CAN I GET YOU A RIDE?

  • CAN I GET YOU A RIDE? HEY, CORTANA, WHAT'S NEXT?

  • HEY, CORTANA, WHAT'S NEXT? >> IT'S REALLY AMAZING TO SEE

  • >> IT'S REALLY AMAZING TO SEE HOW CORTANA HAS EVOLVED INTO

  • HOW CORTANA HAS EVOLVED INTO REALLY POWERFUL IN THE DIGITAL

  • REALLY POWERFUL IN THE DIGITAL ASSISTANT.

  • ASSISTANT. I'VE BEEN THINKING A LOT WITH

  • I'VE BEEN THINKING A LOT WITH MICROSOFT HOW TO DESIGN A

  • MICROSOFT HOW TO DESIGN A CONVERSATIONAL A.I. SYSTEM.

  • CONVERSATIONAL A.I. SYSTEM. CORTANA IS JUST ONE OF THEM.

  • CORTANA IS JUST ONE OF THEM. ANOTHER ONE I WANT TO BRING YOUR

  • ANOTHER ONE I WANT TO BRING YOUR ATTENTION TO IS CHAT BOTS.

  • ATTENTION TO IS CHAT BOTS. WE ACTUALLY SHIPPED THE FIRST TO

  • WE ACTUALLY SHIPPED THE FIRST TO CHINA 3.5 YEARS AGO.

  • CHINA 3.5 YEARS AGO. NOW SHE HAS ABOUT 100 MILLION

  • NOW SHE HAS ABOUT 100 MILLION USERS IN CHINA AND TALKING TO

  • USERS IN CHINA AND TALKING TO HER AVERAGE LIKE 23 TURNS.

  • HER AVERAGE LIKE 23 TURNS. AND SHE'S ACTUALLY VERY, VERY

  • AND SHE'S ACTUALLY VERY, VERY TALENTED.

  • TALENTED. YOU KNOW, IN CHINA, SHE'S EVEN

  • YOU KNOW, IN CHINA, SHE'S EVEN HOSTING A MORNING NEWS PROGRAM

  • HOSTING A MORNING NEWS PROGRAM IN SHANGHAI WITH OVER 800

  • IN SHANGHAI WITH OVER 800 MILLION VIEWERSHIP.

  • MILLION VIEWERSHIP. SHE RECENTLY ACTUALLY

  • SHE RECENTLY ACTUALLY DEMONSTRATED HER ABILITY TO

  • DEMONSTRATED HER ABILITY TO WRITE POEMS.

  • WRITE POEMS. SHE PUBLISHED A POETRY BOOK.

  • SHE PUBLISHED A POETRY BOOK. HELPED THE CHINESE USERS TO

  • HELPED THE CHINESE USERS TO WRITE OVER TWO MILLION POEMS

  • WRITE OVER TWO MILLION POEMS JUST SO THAT YOU UNDERSTAND THE

  • JUST SO THAT YOU UNDERSTAND THE SCALE, THE POEMS.

  • SCALE, THE POEMS. THAT'S MORE THAN ALL THE POEMS

  • THAT'S MORE THAN ALL THE POEMS EVER PUBLISHED IN THE HISTORY OF

  • EVER PUBLISHED IN THE HISTORY OF CHINA.

  • CHINA. THAT'S ONLY IN CHINA.

  • THAT'S ONLY IN CHINA. IN JAPAN, A YEAR LATER WE

  • IN JAPAN, A YEAR LATER WE LAUNCHED THE CHAT BOT ARENA.

  • LAUNCHED THE CHAT BOT ARENA. AND IT'S MORE POPULAR IN JAPAN.

  • AND IT'S MORE POPULAR IN JAPAN. 25% OF JAPANESE POPULATION HAVE

  • 25% OF JAPANESE POPULATION HAVE ALREADY IT IN JAPAN, AND SHE'S

  • ALREADY IT IN JAPAN, AND SHE'S POWERING A CHAT BOT FOR

  • POWERING A CHAT BOT FOR NINTENDO'S POKEMON.

  • NINTENDO'S POKEMON. SO -- AND OF COURSE HERE IN THE

  • SO -- AND OF COURSE HERE IN THE UNITED STATES AS SOME OF YOU

  • UNITED STATES AS SOME OF YOU MIGHT REMEMBER, EXACTLY A YEAR

  • MIGHT REMEMBER, EXACTLY A YEAR AGO, WE CELEBRATED THE ARRIVAL

  • AGO, WE CELEBRATED THE ARRIVAL OF ZOE, OUR OWN CHAT BOT HERE IN

  • OF ZOE, OUR OWN CHAT BOT HERE IN THE U.S.

  • THE U.S. IN JUST A YEAR, I'M HAPPY TO

  • IN JUST A YEAR, I'M HAPPY TO TELL YOU THAT NOW SHE HAS OVER A

  • TELL YOU THAT NOW SHE HAS OVER A MILLION USERS.

  • MILLION USERS. JUST LIKE THE ARENA, ZOE HAS

  • JUST LIKE THE ARENA, ZOE HAS DEVELOPED SEVERAL A.I.-DRIVEN

  • DEVELOPED SEVERAL A.I.-DRIVEN SENSORS LIKE VOICE RECOGNITION,

  • SENSORS LIKE VOICE RECOGNITION, IMAGE RECOGNITION, AND THE

  • IMAGE RECOGNITION, AND THE SOCIAL COMMENTING, AND THE

  • SOCIAL COMMENTING, AND THE NATURAL LANGUAGE UNDERSTANDING.

  • NATURAL LANGUAGE UNDERSTANDING. PEOPLE CAN NOW RHYME WITH ZOE,

  • PEOPLE CAN NOW RHYME WITH ZOE, RAP AT HER, AND IT'S AMAZING.

  • RAP AT HER, AND IT'S AMAZING. OR CHALLENGE HER FOR A GAME OF

  • OR CHALLENGE HER FOR A GAME OF EXPLODING HEATHENS OR EVEN

  • EXPLODING HEATHENS OR EVEN INTERACT WITH HER NEWEST FRIEND,

  • INTERACT WITH HER NEWEST FRIEND, A POPULAR YOUTUBER.

  • A POPULAR YOUTUBER. AMAZING THINGS YOU CAN DO WITH

  • AMAZING THINGS YOU CAN DO WITH CHAT BOTS.

  • CHAT BOTS. YOU MIGHT WONDER WHY PAY SO MUCH

  • YOU MIGHT WONDER WHY PAY SO MUCH ATTENTION TO CHAT BOTS.

  • ATTENTION TO CHAT BOTS. LET ME SAY THAT CHIT CHAT IS

  • LET ME SAY THAT CHIT CHAT IS CHARACTERISTIC OF HUMAN BEINGS.

  • CHARACTERISTIC OF HUMAN BEINGS. GO HOME AND THINK ABOUT THIS.

  • GO HOME AND THINK ABOUT THIS. MOST BOTS ARE INTELLIGENT AGENTS

  • MOST BOTS ARE INTELLIGENT AGENTS TODAY LIKE SERIAL CORTANA, FOCUS

  • TODAY LIKE SERIAL CORTANA, FOCUS ON TACIT COMPLETING OR I.Q., GET

  • ON TACIT COMPLETING OR I.Q., GET THINGS DONE WITHIN THE SKILL

  • THINGS DONE WITHIN THE SKILL TRAINING LIKE WHAT WE SAW FROM

  • TRAINING LIKE WHAT WE SAW FROM CHRISTINA'S DEMO.

  • CHRISTINA'S DEMO. FABULOUS.

  • FABULOUS. IT'S HELPING GET THINGS DONE.

  • IT'S HELPING GET THINGS DONE. BUT IT IS THE EMOTIONAL

  • BUT IT IS THE EMOTIONAL INTELLIGENCE OR THE E.Q. THAT

  • INTELLIGENCE OR THE E.Q. THAT ENABLES SUSTAINED CONVERSATIONS

  • ENABLES SUSTAINED CONVERSATIONS OR DIALOGUES WHICH WILL BE

  • OR DIALOGUES WHICH WILL BE CRITICAL TO TRULY UNDERSTAND THE

  • CRITICAL TO TRULY UNDERSTAND THE HUMANE USERS.

  • HUMANE USERS. SO BY ENGAGING WITH THE PEOPLE

  • SO BY ENGAGING WITH THE PEOPLE AND ON A MUCH MORE SOCIAL AND

  • AND ON A MUCH MORE SOCIAL AND PERSONAL LEVEL IN OUR CHAT BOTS,

  • PERSONAL LEVEL IN OUR CHAT BOTS, DEVELOPING THE E.Q.s.

  • DEVELOPING THE E.Q.s. SO LEARNING HOW TO REACT,

  • SO LEARNING HOW TO REACT, RESPOND, AND BASED ON THE DATA

  • RESPOND, AND BASED ON THE DATA THAT FROM THOSE INTERACTIONS.

  • THAT FROM THOSE INTERACTIONS. WE CAN TAKE THOSE LEARNINGS AND

  • WE CAN TAKE THOSE LEARNINGS AND APPLY THEM TO MANY OTHER

  • APPLY THEM TO MANY OTHER PRODUCTS.

  • PRODUCTS. OF COURSE IN MICROSOFT, NOT ONLY

  • OF COURSE IN MICROSOFT, NOT ONLY WE DO THOSE CONVERSATIONAL A.I.

  • WE DO THOSE CONVERSATIONAL A.I. PRODUCTS, YOU KNOW, WE ALSO MAKE

  • PRODUCTS, YOU KNOW, WE ALSO MAKE SURE THAT OUR A.I. INVESTMENT

  • SURE THAT OUR A.I. INVESTMENT WILL BE INFUSED INTO ALL

  • WILL BE INFUSED INTO ALL MICROSOFT PRODUCTS AND SERVICES

  • MICROSOFT PRODUCTS AND SERVICES THAT DRIVE DEEPER IN THE MORE

  • THAT DRIVE DEEPER IN THE MORE PERSONAL EXPERIENCES.

  • PERSONAL EXPERIENCES. THE FIRST PLACE WE START IS

  • THE FIRST PLACE WE START IS WINDOWS.

  • WINDOWS. WINDOWS IS ALREADY USING MACHINE

  • WINDOWS IS ALREADY USING MACHINE LEARNING AND COMPUTER VISION,

  • LEARNING AND COMPUTER VISION, FOR EXAMPLE, TO HELP PERSONALIZE

  • FOR EXAMPLE, TO HELP PERSONALIZE YOUR PHOTOS AND VIDEOS.

  • YOUR PHOTOS AND VIDEOS. IT'S REALLY AMAZING IF YOU THINK

  • IT'S REALLY AMAZING IF YOU THINK ABOUT IT -- THE EXPLOSION OF

  • ABOUT IT -- THE EXPLOSION OF DIGITAL PHOTOS.

  • DIGITAL PHOTOS. ON AVERAGE FOR WINDOWS USER,

  • ON AVERAGE FOR WINDOWS USER, EVERY YEAR THE USER WILL TAKE

  • EVERY YEAR THE USER WILL TAKE 52,000 PHOTOS.

  • 52,000 PHOTOS. THERE'S FLOW WAY YOU CAN KEEP --

  • THERE'S FLOW WAY YOU CAN KEEP -- THERE'S NO WAY YOU CAN KEEP

  • THERE'S NO WAY YOU CAN KEEP TRACK OF SO MANY PHOTOS AND DO

  • TRACK OF SO MANY PHOTOS AND DO SOMETHING WITH THE PHOTOS UNTIL

  • SOMETHING WITH THE PHOTOS UNTIL NOW WITH THE HELP OF A.I.

  • NOW WITH THE HELP OF A.I. LET'S ROLL THE VIDEO AND SHOW

  • LET'S ROLL THE VIDEO AND SHOW WHAT WE HAVE BEEN DOING WITH

  • WHAT WE HAVE BEEN DOING WITH WINDOWS PHOTO AND VIDEO.

  • WINDOWS PHOTO AND VIDEO. ♪

  • ♪ >> TODAY WE CAPTURE MORE PHOTOS

  • >> TODAY WE CAPTURE MORE PHOTOS AND VIDEOS THAN EVER BEFORE IN

  • AND VIDEOS THAN EVER BEFORE IN HISTORY.

  • HISTORY. AND WE ARE BUILDING A SUITE OF

  • AND WE ARE BUILDING A SUITE OF A.I.-DRIVEN TOOLS WITHIN

  • A.I.-DRIVEN TOOLS WITHIN MICROSOFT PHOTOS TO TRANSFORM

  • MICROSOFT PHOTOS TO TRANSFORM THE WAY THE NEXT GENERATION OF

  • THE WAY THE NEXT GENERATION OF WINDOWS USERS DREAMS, CAPTURES,

  • WINDOWS USERS DREAMS, CAPTURES, AND EXPRESSES THEMSELVES.

  • AND EXPRESSES THEMSELVES. THIS MONTH WE SHIPPED A NEW

  • THIS MONTH WE SHIPPED A NEW SEARCH SYSTEM THAT USES MACHINE

  • SEARCH SYSTEM THAT USES MACHINE LEARNING TO LET YOU FIND PEOPLE,

  • LEARNING TO LET YOU FIND PEOPLE, PLACES, AND THINGS IN YOUR

  • PLACES, AND THINGS IN YOUR PHOTOS.

  • PHOTOS. TO TO GIVE YOU A STARTING POINT

  • TO TO GIVE YOU A STARTING POINT FOR CREATING VIDEOS, WE'VE

  • FOR CREATING VIDEOS, WE'VE CREATED SYSTEMS THAT

  • CREATED SYSTEMS THAT AUTOMATICALLY GENERATE MOVIES

  • AUTOMATICALLY GENERATE MOVIES FROM YOUR MEDIA.

  • FROM YOUR MEDIA. SPECIAL EFFECTS ARE SOME OF THE

  • SPECIAL EFFECTS ARE SOME OF THE MOST COVETED FEATURES BY THE

  • MOST COVETED FEATURES BY THE GEN-Z AUDIENCE.

  • GEN-Z AUDIENCE. WE ARE USING COMPUTER VISION AND

  • WE ARE USING COMPUTER VISION AND A.I. TO TRACK OBJECTS IN YOUR

  • A.I. TO TRACK OBJECTS IN YOUR VIDEOS.

  • VIDEOS. JUST INK A DOODLE, ANKLE IT, AND

  • JUST INK A DOODLE, ANKLE IT, AND WATCH IT FOLLOW SOMETHING --

  • WATCH IT FOLLOW SOMETHING -- ANCHOR IT, AND WATCH IT FOLLOW

  • ANCHOR IT, AND WATCH IT FOLLOW SOMETHING IN PHOTO.

  • SOMETHING IN PHOTO. WE'RE EXCITED TO BRING YOU

  • WE'RE EXCITED TO BRING YOU DIGITAL EXPERIENCES WITH A.I.

  • DIGITAL EXPERIENCES WITH A.I. COMING TO OVER 250 MILLION

  • COMING TO OVER 250 MILLION DEVICES EVERY MONTH.

  • DEVICES EVERY MONTH. >> EVERYTHING IS GOING TO BECOME

  • >> EVERYTHING IS GOING TO BECOME MOTHER NATURE INTELLIGEN

  • >> EVERYTHING IS GOING TO BECOME MOTHER NATUR

  • MOTHER NATUR MORE INTELLIGENT.

  • MORE INTELLIGENT. AS YOU THINK ABOUT MANAGING

  • AS YOU THINK ABOUT MANAGING FILES, CREATING, ALL THOSE

  • FILES, CREATING, ALL THOSE THINGS.

  • THINGS. BUT REALLY THE BIGGEST A.I.

  • BUT REALLY THE BIGGEST A.I. DELIVERY VEHICLE IN MICROSOFT IS

  • DELIVERY VEHICLE IN MICROSOFT IS OFFICE 365.

  • OFFICE 365. WITH I A -- WITH A TOTAL OF 150

  • WITH I A -- WITH A TOTAL OF 150 MILLION USERS, A.I. IS WORKING.

  • MILLION USERS, A.I. IS WORKING. I'M GOING TO INVITE ROB UP TO

  • I'M GOING TO INVITE ROB UP TO SHOW COOL FEATURES, WHAT WE DO

  • SHOW COOL FEATURES, WHAT WE DO WITH A.I. AND OFFICE.

  • WITH A.I. AND OFFICE. ROB?

  • ROB? >> THANK YOU, HARRY.

  • >> THANK YOU, HARRY. HI, EVERYBODY.

  • HI, EVERYBODY. I'M ROB HOWARD.

  • I'M ROB HOWARD. I WORK IN THE OFFICE PRODUCT

  • I WORK IN THE OFFICE PRODUCT MARKETING TEAM.

  • MARKETING TEAM. I'M EXCITED TO BE HERE TODAY TO

  • I'M EXCITED TO BE HERE TODAY TO TALK TO YOU ABOUT THE

  • TALK TO YOU ABOUT THE A.I.-POWERED TOOLS WE'RE ADDING

  • A.I.-POWERED TOOLS WE'RE ADDING TO OFFICE TO HELP PEOPLE DO

  • TO OFFICE TO HELP PEOPLE DO THEIR BEST WORK.

  • THEIR BEST WORK. THE TRUTH IS WE'VE USED A.I. IN

  • THE TRUTH IS WE'VE USED A.I. IN OFFICE FOR MANY YEARS.

  • OFFICE FOR MANY YEARS. YOU CAN THINK OF FEATURES LIKE

  • YOU CAN THINK OF FEATURES LIKE SPELLCHECK AND FLASH FILL AND

  • SPELLCHECK AND FLASH FILL AND RECOMMENDED CHARTS THAT ARE A

  • RECOMMENDED CHARTS THAT ARE A STANDARD PART OF THE OFFICE YOU

  • STANDARD PART OF THE OFFICE YOU KNOW AND LOVE.

  • KNOW AND LOVE. WITH THE ADVENT OF OFFICE 365,

  • WITH THE ADVENT OF OFFICE 365, WHEN WE TOOK THE CLOUD AND

  • WHEN WE TOOK THE CLOUD AND DEEPLY INTEGRATED IT WITH ALL

  • DEEPLY INTEGRATED IT WITH ALL THE APPS ACROSS OFFICE, IT

  • THE APPS ACROSS OFFICE, IT REALLY ACCELERATED OUR PROGRESS

  • REALLY ACCELERATED OUR PROGRESS IN A.I.

  • IN A.I. AS OFFICE 365 HAS GROWN, IT'S

  • AS OFFICE 365 HAS GROWN, IT'S BECOME ONE OF THE BIGGEST

  • BECOME ONE OF THE BIGGEST VEHICLES FOR DELIVERING A.I.

  • VEHICLES FOR DELIVERING A.I. TECHNOLOGY TO REAL PEOPLE AND

  • TECHNOLOGY TO REAL PEOPLE AND HELPING THEM GET REAL VALUE OUT

  • HELPING THEM GET REAL VALUE OUT OF IT.

  • OF IT. YOU'LL SEE HOW WE'RE USING WORLD

  • YOU'LL SEE HOW WE'RE USING WORLD DATA, USER DATA, AND ESPECIALLY

  • DATA, USER DATA, AND ESPECIALLY WORK DATA TO HELP SAVE PEOPLE

  • WORK DATA TO HELP SAVE PEOPLE TIME, TO HELP THEM FOCUS ON

  • TIME, TO HELP THEM FOCUS ON THINGS THAT MATTER MOST TO THEM

  • THINGS THAT MATTER MOST TO THEM AND HELP THEM BE BETTER WRITERS

  • AND HELP THEM BE BETTER WRITERS AND UNLOCK HIDDEN JITS SIGHT I

  • AND HELP THEM BE BETTER WRITERS AND UNLOCK HIDDEN JITS SIGIN--

  • AND UNLOCK HIDDEN JITS SIGIN-- HIDDEN INSIGHTS IN DATA.

  • HIDDEN INSIGHTS IN DATA. I'LL START BY SHOWING SOME OF MY

  • I'LL START BY SHOWING SOME OF MY FAVORITE FEATURES, FEATURES THAT

  • FAVORITE FEATURES, FEATURES THAT I USE EVERY DAY.

  • I USE EVERY DAY. YOU MAY HAVE SEEN SOME, BUT LIKE

  • YOU MAY HAVE SEEN SOME, BUT LIKE ANY GOOD A.I. THEY'VE GOTTEN

  • ANY GOOD A.I. THEY'VE GOTTEN BETTER AS MORE PEOPLE HAVE USED

  • BETTER AS MORE PEOPLE HAVE USED THEM.

  • THEM. I WANT TO SHARE THE LATEST.

  • I WANT TO SHARE THE LATEST. THEN I'M GOING TO SHOW YOUR NO

  • I WANT TO SHARE THE LATEST. THEN I'M GOING TO SHOW YOUR NEW

  • THEN I'M GOING TO SHOW YOUR NEW WAYS WE'RE BRINGING A.I. TO

  • WAYS WE'RE BRINGING A.I. TO OFFICES IN THE NEXT MONTHS.

  • OFFICES IN THE NEXT MONTHS. THIS IS PART OF MY OFFICE 365

  • THIS IS PART OF MY OFFICE 365 SUBSCRIPTION.

  • SUBSCRIPTION. I'M WORKING ON A PRESENTATION

  • I'M WORKING ON A PRESENTATION FOR THE CONTOSO QUAD 8 COPTER

  • FOR THE CONTOSO QUAD 8 COPTER PORTFOLIO.

  • PORTFOLIO. I SPENT MOST OF MY CAREER AS AN

  • I SPENT MOST OF MY CAREER AS AN ENGINEER.

  • ENGINEER. ACTUALLY BUILDING IMPACTFUL

  • ACTUALLY BUILDING IMPACTFUL PRESENTATIONS TAKES MORE TIME

  • PRESENTATIONS TAKES MORE TIME AND EFFORT THAN I'D LIKE.

  • AND EFFORT THAN I'D LIKE. AND JUST A SECOND, COME BACK UP,

  • AND JUST A SECOND, COME BACK UP, BUILDING IMPACTFUL PRESENTATIONS

  • BUILDING IMPACTFUL PRESENTATIONS TAKES TIME, EFFORT, AND FRANKLY,

  • TAKES TIME, EFFORT, AND FRANKLY, DESIGN SKILLS THAT I JUST DON'T

  • DESIGN SKILLS THAT I JUST DON'T HAVE.

  • HAVE. LUCKILY THAT'S WHERE DESIGNER

  • LUCKILY THAT'S WHERE DESIGNER COMES IN.

  • COMES IN. DESIGNER LETS ME FOCUS ON THE

  • DESIGNER LETS ME FOCUS ON THE CONTENT OF THE PRESENTATION, AND

  • CONTENT OF THE PRESENTATION, AND IT TAKES CARE OF CREATING A

  • IT TAKES CARE OF CREATING A BEAUTIFUL REPRESENTATION OF MY

  • BEAUTIFUL REPRESENTATION OF MY IDEAS SO THAT'S AS IMPACTFUL ON

  • IDEAS SO THAT'S AS IMPACTFUL ON MY AUDIENCE AS POSSIBLE.

  • MY AUDIENCE AS POSSIBLE. I'M GOING TO START ON THE TITLE

  • I'M GOING TO START ON THE TITLE SIDE.

  • SIDE. YOU SEE IT'S BORING, BUT I HAVE

  • YOU SEE IT'S BORING, BUT I HAVE A FEW IMAGES THAT CAN SPRUCE IT

  • A FEW IMAGES THAT CAN SPRUCE IT UP.

  • UP. I'M GOING TO DROP THEM INTO THE

  • I'M GOING TO DROP THEM INTO THE SLIDE.

  • SLIDE. NORMALLY I'D START REARRANGING

  • NORMALLY I'D START REARRANGING THEM, CROPPING THEM, RESIZING

  • THEM, CROPPING THEM, RESIZING THEM TO CREATE A LAYOUT THAT I

  • THEM TO CREATE A LAYOUT THAT I WAS HAPPY WITH.

  • WAS HAPPY WITH. DESIGNER IS ALWAYS WORKING FOR

  • DESIGNER IS ALWAYS WORKING FOR ME IN THE BACKGROUND.

  • ME IN THE BACKGROUND. WHEN I ADD THAT CONTENT TO THE

  • WHEN I ADD THAT CONTENT TO THE SLIDE, IT AUTOMATICALLY POPS UP

  • SLIDE, IT AUTOMATICALLY POPS UP FOR ME WITH ADVICE ON HOW TO LAY

  • FOR ME WITH ADVICE ON HOW TO LAY THEM OUT.

  • THEM OUT. AND AS I CLICK THROUGH THEM,

  • AND AS I CLICK THROUGH THEM, YOU'LL SEE IT'S CREATING THESE

  • YOU'LL SEE IT'S CREATING THESE BEAUTIFUL DESIGNS THAT ARE

  • BEAUTIFUL DESIGNS THAT ARE FEATURING THE CONTENT I'VE ADDED

  • FEATURING THE CONTENT I'VE ADDED TO THE SLIDE.

  • TO THE SLIDE. IT SEEMS SIMPLE BECAUSE CORTANA

  • IT SEEMS SIMPLE BECAUSE CORTANA MADE IT THAT WAY.

  • MADE IT THAT WAY. THINGS GOING ON LIKE SALIENT

  • THINGS GOING ON LIKE SALIENT RECOGNITION AND COLOR ANALYSIS.

  • RECOGNITION AND COLOR ANALYSIS. YOU'LL SEE THAT EVEN AS IT'S

  • YOU'LL SEE THAT EVEN AS IT'S CROPPING AND RE-SIZING IMAGES TO

  • CROPPING AND RE-SIZING IMAGES TO BUILD A BEAUTIFUL LAYOUT, IT

  • BUILD A BEAUTIFUL LAYOUT, IT UNDERSTANDS THAT THE HAND AND

  • UNDERSTANDS THAT THE HAND AND QUAD COCKPITO

  • UNDERSTANDS THAT THE HAND AND QUAD COCKPIT O

  • UNDERSTANDS THAT THE HAND AND QUAD COCKPIT COP -- QUAD COPTO

  • UNDERSTANDS THAT THE HAND AND QUAD COCKPIT COP -- QUAD COPTPER

  • UNDERSTANDS THAT THE HAND AND QUAD COCKPIT COP -- QUAD COPTPE

  • QUAD COCKPIT COP -- QUAD COPTPE ARE THE CENTER OF THE CENTER OF

  • ARE THE CENTER OF THE CENTER OF THE IMAGE.

  • THE IMAGE. IT FOUND THE BLUES IN THE SKY

  • IT FOUND THE BLUES IN THE SKY AND WATER, IT'S ABLE TO ECHO

  • AND WATER, IT'S ABLE TO ECHO THOSE IN THE SLIDE THROUGH COLOR

  • THOSE IN THE SLIDE THROUGH COLOR ANALYSIS.

  • ANALYSIS. IF I GO TO THE NEXT SLIDES,

  • IF I GO TO THE NEXT SLIDES, YOU'LL SEE I HAVE A PRETTY LONG

  • YOU'LL SEE I HAVE A PRETTY LONG IMAGE HERE WITH A LOT GOING ON.

  • IMAGE HERE WITH A LOT GOING ON. DIFFERENT FACES, A JACKET.

  • DIFFERENT FACES, A JACKET. IT WOULD BE EASY TO TAKE JUST

  • IT WOULD BE EASY TO TAKE JUST THE CENTER OR LEFT SIDE.

  • THE CENTER OR LEFT SIDE. IT'S ACTUALLY ABLE TO RECOGNIZE

  • IT'S ACTUALLY ABLE TO RECOGNIZE THE ONE IN-FOCUS FACE IN THE

  • THE ONE IN-FOCUS FACE IN THE IMAGE -- AND AS I PAGE THROUGH,

  • IMAGE -- AND AS I PAGE THROUGH, YOU SEE IT'S MAKING THE FACE THE

  • YOU SEE IT'S MAKING THE FACE THE HERO OF THAT IMAGE.

  • HERO OF THAT IMAGE. I TOLD YOU THESE WERE GETTING

  • I TOLD YOU THESE WERE GETTING SMARTER.

  • SMARTER. ONE OF THE TWLAS DESIGNER IS

  • ONE OF THE TWLAS DESIGNER IS GETTING -- WAYS THAT DESIGNER IS

  • GETTING -- WAYS THAT DESIGNER IS GETTING SMARTER, IT CAN DEAL

  • GETTING SMARTER, IT CAN DEAL WITH MORE CONTENT.

  • WITH MORE CONTENT. NOT JUST IMAGES BUT TEXT.

  • NOT JUST IMAGES BUT TEXT. YOU'LL SEE A SET OF DEVELOPMENT

  • YOU'LL SEE A SET OF DEVELOPMENT MILESTONES.

  • MILESTONES. THE DESIGNERS IS USING NATURAL

  • THE DESIGNERS IS USING NATURAL LANGUAGE PROCESSING TO

  • LANGUAGE PROCESSING TO UNDERSTAND THAT THIS IS ACTUALLY

  • UNDERSTAND THAT THIS IS ACTUALLY A TIMELINE, A SERIES OF MONTHS.

  • A TIMELINE, A SERIES OF MONTHS. IT'S ABLE TO CREATE A BEAUTIFUL

  • IT'S ABLE TO CREATE A BEAUTIFUL REPRESENTATION OF THAT TIMELINE

  • REPRESENTATION OF THAT TIMELINE THAT MAKES THE MILESTONES POP

  • THAT MAKES THE MILESTONES POP FOR MY AUDIENCE.

  • FOR MY AUDIENCE. OR I CAN GO TO THE NEXT SLIDE

  • OR I CAN GO TO THE NEXT SLIDE WITH A SEQUENCE OF STEPS.

  • WITH A SEQUENCE OF STEPS. DESIGNER RECOGNIZE THAT'S AND

  • DESIGNER RECOGNIZE THAT'S AND LETS ME CREATE A DIAGRAM THAT

  • LETS ME CREATE A DIAGRAM THAT CLEARLY OUTLINES THE FLOW.

  • CLEARLY OUTLINES THE FLOW. IT'S EVEN ABLE TO DO THINGS LIKE

  • IT'S EVEN ABLE TO DO THINGS LIKE PULL OUT THE VERBS FROM THESE

  • PULL OUT THE VERBS FROM THESE STEPS AND USE THEM A A QUICK

  • STEPS AND USE THEM A A QUICK HEADER.

  • HEADER. -- USE THEM AS A QUICK HEADER.

  • -- USE THEM AS A QUICK HEADER. IN SECONDS, I'VE USED A.I. TO

  • IN SECONDS, I'VE USED A.I. TO CREATE A MORE IMPACTFUL

  • CREATE A MORE IMPACTFUL PRESENTATION IN POWERPOINT.

  • PRESENTATION IN POWERPOINT. NOW WE'LL SWITCH TO WORD AND SEE

  • NOW WE'LL SWITCH TO WORD AND SEE THREE MORE OF MY FAVORITE POWER

  • THREE MORE OF MY FAVORITE POWER FEATURES ALREADY IN OFFICE.

  • FEATURES ALREADY IN OFFICE. WE'RE GOING TO START WITH

  • WE'RE GOING TO START WITH ANOTHER A.I.-POWERED ASSISTANT

  • ANOTHER A.I.-POWERED ASSISTANT EDITOR.

  • EDITOR. NOW EDITOR GOES WAY BEYOND THE

  • NOW EDITOR GOES WAY BEYOND THE SPELLING AND GRAMMAR CHECKING

  • SPELLING AND GRAMMAR CHECKING THAT YOU'RE USED TO.

  • THAT YOU'RE USED TO. IT TAKES INTO ACCOUNT MACHINE

  • IT TAKES INTO ACCOUNT MACHINE LEARNING, NATURAL LANGUAGE

  • LEARNING, NATURAL LANGUAGE PROCESSING, AND EXTENSIVE AND

  • PROCESSING, AND EXTENSIVE AND ONGOING INPUT FROM HUMAN

  • ONGOING INPUT FROM HUMAN LINGUISTS TO MAKE ME A BETTER

  • LINGUISTS TO MAKE ME A BETTER WRITER.

  • WRITER. IF I SCROLL DOWN, YOU'LL SEE A

  • IF I SCROLL DOWN, YOU'LL SEE A BUNCH OF EXAMPLES OF GOLD DOTTED

  • BUNCH OF EXAMPLES OF GOLD DOTTED UNDERLINES.

  • UNDERLINES. AND IF I DRILL INTO THEM, YOU'LL

  • AND IF I DRILL INTO THEM, YOU'LL SEE THAT EDITOR CAN CATCH

  • SEE THAT EDITOR CAN CATCH EVERYTHING FROM OVERUSED CLICHES

  • EVERYTHING FROM OVERUSED CLICHES LIKE "THINK OUTSIDE THE BOX" TO

  • LIKE "THINK OUTSIDE THE BOX" TO JARGON LIKE "HEAD HUNTING."

  • JARGON LIKE "HEAD HUNTING." AND EVEN POTENTIAL BIAS LIKE

  • AND EVEN POTENTIAL BIAS LIKE "YOUNG BLOOD."

  • "YOUNG BLOOD." AND FOR EACH OF THESE, IT NOT

  • AND FOR EACH OF THESE, IT NOT ONLY DETECTS THE PROBLEM, BUT IT

  • ONLY DETECTS THE PROBLEM, BUT IT SUGGESTS A SOLUTION LIKE MAYBE

  • SUGGESTS A SOLUTION LIKE MAYBE USING NEW PEOPLE INSTEAD OF

  • USING NEW PEOPLE INSTEAD OF YOUNG BLOOD.

  • YOUNG BLOOD. IF I'M INTERESTED IN LEARNING

  • IF I'M INTERESTED IN LEARNING MORE ABOUT THAT RECOMMENDATION,

  • MORE ABOUT THAT RECOMMENDATION, I CAN DRILL IN TO SEE MORE AND

  • I CAN DRILL IN TO SEE MORE AND GET DETAIL ABOUT ITS

  • GET DETAIL ABOUT ITS RECOMMENDATION AS WELL AS OTHER

  • RECOMMENDATION AS WELL AS OTHER EXAMPLES.

  • EXAMPLES. I CAN CUSTOMIZE THE WAY EDITOR

  • I CAN CUSTOMIZE THE WAY EDITOR WORKS.

  • WORKS. IF I FEEL LIKE I WANT TO HOLD ON

  • IF I FEEL LIKE I WANT TO HOLD ON TO MY VAGUE ADJECTIVES AND MY

  • TO MY VAGUE ADJECTIVES AND MY OXFORD COMAS, I CAN DO THAT IN

  • OXFORD COMAS, I CAN DO THAT IN ORDER TO PRESERVE MY PERSONAL

  • ORDER TO PRESERVE MY PERSONAL STYLE.

  • STYLE. WE'VE SEEN A COUPLE OF EXAMPLES

  • WE'VE SEEN A COUPLE OF EXAMPLES OF HOW A.I. IS HELPING ME CREATE

  • OF HOW A.I. IS HELPING ME CREATE BETTER WORK, BUT A.I. CAN ALSO

  • BETTER WORK, BUT A.I. CAN ALSO HELP ME WORK MORE NATURALLY

  • HELP ME WORK MORE NATURALLY ALONG THE WAY.

  • ALONG THE WAY. ONE THING WE'VE SEEN PEOPLE DO A

  • ONE THING WE'VE SEEN PEOPLE DO A LOT OF IS PRINT OFF DOCUMENTS

  • LOT OF IS PRINT OFF DOCUMENTS LIKE THESE AND TAKE A PEN AND

  • LIKE THESE AND TAKE A PEN AND WRITE COMMENTS IN THE MARGIN OR

  • WRITE COMMENTS IN THE MARGIN OR MARK THEM UP WITH EDITS.

  • MARK THEM UP WITH EDITS. AND THIS SOUNDS SILLY, BUT IT

  • AND THIS SOUNDS SILLY, BUT IT SORT OF MAKES SENSE.

  • SORT OF MAKES SENSE. IT FEELS MINORITY LEADER US

  • SORT OF MAKES SENSE. IT FEELS MINORITY LEADER U-- IT

  • IT FEELS MINORITY LEADER U-- IT FEELS NATURAL TO USE A PEN.

  • FEELS NATURAL TO USE A PEN. USING A PEN ACTIVATES YOUR BRAIN

  • USING A PEN ACTIVATES YOUR BRAIN MORE DEEPLY THAN USING A

  • MORE DEEPLY THAN USING A KEYBOARD OR MOUSE.

  • KEYBOARD OR MOUSE. WITH A.I. AND INK EDITOR IN

  • WITH A.I. AND INK EDITOR IN WORD, WE CAN MAKE USING A

  • WORD, WE CAN MAKE USING A DIGITAL PEN AND INK FEEL AS

  • DIGITAL PEN AND INK FEEL AS NATURAL AS PAPER, JUST WITHOUT

  • NATURAL AS PAPER, JUST WITHOUT ALL THE PRINTING AND SCANNING.

  • ALL THE PRINTING AND SCANNING. SO I CAN DO THINGS LIKE CHOOSE A

  • SO I CAN DO THINGS LIKE CHOOSE A RED PEN.

  • RED PEN. OF COURSE, I CAN WRITE IN THE

  • OF COURSE, I CAN WRITE IN THE MARGIN.

  • MARGIN. BUT IN IS BETTER BECAUSE I CAN

  • BUT IN IS BETTER BECAUSE I CAN MAKE EDITS LIKE STRIKING THROUGH

  • MAKE EDITS LIKE STRIKING THROUGH A SENTENCE, AND THEY'RE

  • A SENTENCE, AND THEY'RE EFFECTIVE IN THE DOCUMENT.

  • EFFECTIVE IN THE DOCUMENT. I CAN CHANGE TO A HIGHLIGHT HER,

  • I CAN CHANGE TO A HIGHLIGHT HER, AND INK EDITOR UNDERSTANDS I NO

  • AND INK EDITOR UNDERSTANDS I NO LONGER WANT TO STRIKE SOMETHING

  • LONGER WANT TO STRIKE SOMETHING OUT BUT ADD EMPHASIS TO IT.

  • OUT BUT ADD EMPHASIS TO IT. AND I CAN USE GESTURES LIKE A

  • AND I CAN USE GESTURES LIKE A CIRCLE OR A SCRIBBLE, AND INK

  • CIRCLE OR A SCRIBBLE, AND INK EDIT UNDERSTANDS WHAT I

  • EDIT UNDERSTANDS WHAT I INTENDED.

  • INTENDED. I WANT TO ADD CONTENT TO THE

  • I WANT TO ADD CONTENT TO THE DOCUMENT.

  • DOCUMENT. YOU'LL SEE I NEED TO GET A

  • YOU'LL SEE I NEED TO GET A PROJECT MILESTONE TABLE AND A

  • PROJECT MILESTONE TABLE AND A FORECAST CHART.

  • FORECAST CHART. I KNOW THAT THESE ARE THINGS MY

  • I KNOW THAT THESE ARE THINGS MY COLLEAGUES WERE WORKING ON IN

  • COLLEAGUES WERE WORKING ON IN OTHER DOCUMENTS.

  • OTHER DOCUMENTS. NORMALLY WHAT I DO HERE IS I

  • NORMALLY WHAT I DO HERE IS I LEAVE WORD, GO INTO A TOOL LIKE

  • LEAVE WORD, GO INTO A TOOL LIKE OUTLOOK OR ONEDRIVE OR

  • OUTLOOK OR ONEDRIVE OR SHAREPOINT TO SEARCH FOR

  • SHAREPOINT TO SEARCH FOR INFORMATION, ONCE I FINALLY

  • INFORMATION, ONCE I FINALLY FOUND THE DOCUMENT, I WOULD GO

  • FOUND THE DOCUMENT, I WOULD GO DRILL THROUGH IT AND FIND THE

  • DRILL THROUGH IT AND FIND THE TABLE THAT I NEEDED OR CHART I

  • TABLE THAT I NEEDED OR CHART I WAS LOOKING FOR.

  • WAS LOOKING FOR. I'D COPY THAT OUT, COME BACK TO

  • I'D COPY THAT OUT, COME BACK TO WORD, AND I'D INSERT IT.

  • WORD, AND I'D INSERT IT. THAT WOULD BREAK UP THE FLOW OF

  • THAT WOULD BREAK UP THE FLOW OF MY WORK.

  • MY WORK. WITH A NEW A.I.-POWERED FEATURE

  • WITH A NEW A.I.-POWERED FEATURE IN WORD CALLED TAP, I CAN

  • IN WORD CALLED TAP, I CAN DIRECTLY WITHIN THE FLOW OF MY

  • DIRECTLY WITHIN THE FLOW OF MY WORK AND TOOL I'M USING TAKE

  • WORK AND TOOL I'M USING TAKE ADVANTAGE OF ALL OF MY

  • ADVANTAGE OF ALL OF MY ORGANIZATION'S KNOWLEDGE IN

  • ORGANIZATION'S KNOWLEDGE IN ORDER TO FIND THE RIGHT CONTENT.

  • ORDER TO FIND THE RIGHT CONTENT. YOU'LL SEE THAT IT CAN DO THINGS

  • YOU'LL SEE THAT IT CAN DO THINGS NOW LIKE FILTER DOWN TO SPECIFIC

  • NOW LIKE FILTER DOWN TO SPECIFIC CONTENT TYPE.

  • CONTENT TYPE. I'M LOOKING FOR A MILESTONE

  • I'M LOOKING FOR A MILESTONE TABLE.

  • TABLE. I CAN CHOOSE TABLES.

  • I CAN CHOOSE TABLES. THE FIRST THING -- FIRST LIST TO

  • THE FIRST THING -- FIRST LIST TO COME UP IS THE FABRIC CAM CASE

  • COME UP IS THE FABRIC CAM CASE STUDY WHERE I KNOW THE PROJECT

  • STUDY WHERE I KNOW THE PROJECT MILESTONES ARE.

  • MILESTONES ARE. WHEN I DRILL IN, YOU CAN SEE

  • WHEN I DRILL IN, YOU CAN SEE IT'S NOT THE ENTIRE DOCUMENT.

  • IT'S NOT THE ENTIRE DOCUMENT. IT'S BREAKING DOWN THE SPECIFIC

  • IT'S BREAKING DOWN THE SPECIFIC ELEMENTS THAT I MIGHT WANT TO

  • ELEMENTS THAT I MIGHT WANT TO REUSE.

  • REUSE. AND HERE I SEE THE PROJECT

  • AND HERE I SEE THE PROJECT MILESTONE TABLE THAT I CAN ADD

  • MILESTONE TABLE THAT I CAN ADD WITH A SINGLE TAP.

  • WITH A SINGLE TAP. AND BECAUSE IT'S STILL A

  • AND BECAUSE IT'S STILL A FULL-FEATURED TABLE, I CAN STYLE

  • FULL-FEATURED TABLE, I CAN STYLE IT TO LOOK GOOD IN THIS

  • IT TO LOOK GOOD IN THIS DOCUMENT.

  • DOCUMENT. NOW THIS CASH FLOW FORECAST

  • NOW THIS CASH FLOW FORECAST CHART DIDN'T SHOW UP AS ONE OF

  • CHART DIDN'T SHOW UP AS ONE OF THE TOP ITEMS.

  • THE TOP ITEMS. THAT'S OKAY BECAUSE TAP IS

  • THAT'S OKAY BECAUSE TAP IS ACTUALLY TIED INTO PERSONALIZED

  • ACTUALLY TIED INTO PERSONALIZED SEARCH POWERED BY ONEDRIVE AND

  • SEARCH POWERED BY ONEDRIVE AND SHAREPOINT SO THAT WHEN I TYPE

  • SHAREPOINT SO THAT WHEN I TYPE IN FORECAST, I'M GOING TO GET

  • IN FORECAST, I'M GOING TO GET RESULTS THAT I HAVE ACCESS TO

  • RESULTS THAT I HAVE ACCESS TO AND ONES THAT ARE MOST

  • AND ONES THAT ARE MOST MEANINGFUL AND RELEVANT TO ME.

  • MEANINGFUL AND RELEVANT TO ME. YOU'LL SEE THAT THE CASH FLOW

  • YOU'LL SEE THAT THE CASH FLOW FORECAST IS THE TOP ITEM HERE.

  • FORECAST IS THE TOP ITEM HERE. I CAN DRILL IN AND FIND THE

  • I CAN DRILL IN AND FIND THE CHART, ADD TO MY DOCUMENT.

  • CHART, ADD TO MY DOCUMENT. AND BECAUSE IT'S A FULL FEATURED

  • AND BECAUSE IT'S A FULL FEATURED CHART INSIDE A WORD, I CAN DO

  • CHART INSIDE A WORD, I CAN DO THINGS LIKE ADD A TREND LINE,

  • THINGS LIKE ADD A TREND LINE, AGAIN WITHOUT HAVING TO LEAVE

  • AGAIN WITHOUT HAVING TO LEAVE THE FLOW OF MY WORK.

  • THE FLOW OF MY WORK. I'M SHOWING YOU MY FOUR FAVORITE

  • I'M SHOWING YOU MY FOUR FAVORITE A.I. POWER FEATURES ALREADY IN

  • A.I. POWER FEATURES ALREADY IN OFFICE.

  • OFFICE. I'M GOING TO SWITCH TO WHAT'S

  • I'M GOING TO SWITCH TO WHAT'S COMING NEXT.

  • COMING NEXT. WE'RE GOING TO START INSIDE OF

  • WE'RE GOING TO START INSIDE OF EXCEL.

  • EXCEL. IF THERE'S ONE THING WE'VE

  • IF THERE'S ONE THING WE'VE LEARNED FROM WORK IN A.I., IT'S

  • LEARNED FROM WORK IN A.I., IT'S THAT DATA'S AN INCREDIBLY

  • THAT DATA'S AN INCREDIBLY VALUABLE RESOURCE.

  • VALUABLE RESOURCE. WITH HUNDREDS OF PEOPLE USING

  • WITH HUNDREDS OF PEOPLE USING EXCEL, THERE'S A LOT OF DATA IN

  • EXCEL, THERE'S A LOT OF DATA IN EXCEL SPREADSHEETS.

  • EXCEL SPREADSHEETS. A LOT OF THE DATA LOOKS LIKE

  • A LOT OF THE DATA LOOKS LIKE THIS -- A SIMPLE TABLE, BUT

  • THIS -- A SIMPLE TABLE, BUT THERE'S COLUMNS, TEAMS, CATEGORY

  • THERE'S COLUMNS, TEAMS, CATEGORY LINE ITEMS.

  • LINE ITEMS. AND I DON'T LOOKING AT IT GET A

  • AND I DON'T LOOKING AT IT GET A SENSE OF HOW THIS WORKS, WHAT

  • SENSE OF HOW THIS WORKS, WHAT ARE THE TRENDS, WHAT ARE THE

  • ARE THE TRENDS, WHAT ARE THE WAYS THAT THESE DIFFERENT

  • WAYS THAT THESE DIFFERENT CATEGORIES AND COLUMNS AFFECT

  • CATEGORIES AND COLUMNS AFFECT THE VALUES?

  • THE VALUES? AND I COULD, OF COURSE, USE ALL

  • AND I COULD, OF COURSE, USE ALL THE TOOLS IN EXCEL TO CREATE

  • THE TOOLS IN EXCEL TO CREATE CHARTS AND PIVOT TABLES TO

  • CHARTS AND PIVOT TABLES TO ANALYZE IT IN A LOT OF WAYS,

  • ANALYZE IT IN A LOT OF WAYS, THAT WOULD TAKE ME A LOT OF TIME

  • THAT WOULD TAKE ME A LOT OF TIME EVEN AS AN EXCEL EXPERT.

  • EVEN AS AN EXCEL EXPERT. BUT WITHIN SIGHTS WHICH IS

  • BUT WITHIN SIGHTS WHICH IS COMING TO OFFICE INSIDERS THIS

  • COMING TO OFFICE INSIDERS THIS MONTH, I HAVE AN A.I.-POWERED

  • MONTH, I HAVE AN A.I.-POWERED ASSISTANTS THAT WILL DO ALL THE

  • ASSISTANTS THAT WILL DO ALL THE LEGWORK FOR ME.

  • LEGWORK FOR ME. I CAN RUN INSIGHTS ON THIS

  • I CAN RUN INSIGHTS ON THIS PARTICULAR DATA SET AND REALLY

  • PARTICULAR DATA SET AND REALLY QUICKLY GET A SENSE OF HOW IT

  • QUICKLY GET A SENSE OF HOW IT WORKS.

  • WORKS. I CAN SEE THINGS LIKE SPEND

  • I CAN SEE THINGS LIKE SPEND INCREASE OVER TIME.

  • INCREASE OVER TIME. I CAN SEE THAT IF I BREAK DOWN

  • I CAN SEE THAT IF I BREAK DOWN THIS DATA BY TYPE, PAYROLL HAS A

  • THIS DATA BY TYPE, PAYROLL HAS A SIGNIFICANTLY HIGHER SPEND THAN

  • SIGNIFICANTLY HIGHER SPEND THAN ANYTHING ELSE.

  • ANYTHING ELSE. IF I DRILL INTO MORE INSIGHTS, I

  • IF I DRILL INTO MORE INSIGHTS, I CAN SEE DEEPER THINGS LIKE IF I

  • CAN SEE DEEPER THINGS LIKE IF I ISOLATE JUST STOCK COMPENSATION,

  • ISOLATE JUST STOCK COMPENSATION, I CAN SEE A SIGNIFICANT OUTLIER.

  • I CAN SEE A SIGNIFICANT OUTLIER. I MIGHT WANT TO DRILL INTO THAT

  • I MIGHT WANT TO DRILL INTO THAT FURTHER.

  • FURTHER. I'M GOING TO HIT INSERT CHART.

  • I'M GOING TO HIT INSERT CHART. AND IT WILL CREATE A PIVOT TABLE

  • AND IT WILL CREATE A PIVOT TABLE IN EXCEL TIED TO THE DATA

  • IN EXCEL TIED TO THE DATA SHOWING THIS EXACT INSIGHT.

  • SHOWING THIS EXACT INSIGHT. I CAN MOUSE OVER HERE AND SEE

  • I CAN MOUSE OVER HERE AND SEE THE OUTLIER OCCURRED ON

  • THE OUTLIER OCCURRED ON SEPTEMBER, 2013.

  • SEPTEMBER, 2013. BUT I WANT TO UNDERSTAND THE

  • BUT I WANT TO UNDERSTAND THE SOURCE, SO I CAN USE EXCEL'S

  • SOURCE, SO I CAN USE EXCEL'S FUNCTIONALITY IN PIVOT TABLES TO

  • FUNCTIONALITY IN PIVOT TABLES TO BREAK IT DOWN BY TEAM.

  • BREAK IT DOWN BY TEAM. MMD I CAN FIND THAT THE

  • MMD I CAN FIND THAT THE ENGINEERING TEAM IS RESPONSIBLE

  • ENGINEERING TEAM IS RESPONSIBLE FOR OUTLIER AND GO AND

  • FOR OUTLIER AND GO AND INVESTIGATE FURTHER.

  • INVESTIGATE FURTHER. IN JUST A FEW SECONDS, I WAS

  • IN JUST A FEW SECONDS, I WAS ABLE TO UNDERSTAND THE DATA SET

  • ABLE TO UNDERSTAND THE DATA SET AND FIND KEY INSIGHTS THAT I MAY

  • AND FIND KEY INSIGHTS THAT I MAY WANT TO INVESTIGATE FURTHER.

  • WANT TO INVESTIGATE FURTHER. NOW WE'RE GOING TO SWITCH GEARS

  • NOW WE'RE GOING TO SWITCH GEARS TO THINGS THAT ARE BLEEDING

  • TO THINGS THAT ARE BLEEDING EDGE.

  • EDGE. IN FACT, SO BLEEDING EDGE THAT

  • IN FACT, SO BLEEDING EDGE THAT I'M GOING TO CONNECT TO A

  • I'M GOING TO CONNECT TO A MACHINE IN DUBLIN TO SHOW IT TO

  • MACHINE IN DUBLIN TO SHOW IT TO YOU.

  • YOU. EARLIER WE SAW HOW IN TAP I CAN

  • EARLIER WE SAW HOW IN TAP I CAN USE ORGANIZATIONAL KNOWLEDGE IN

  • USE ORGANIZATIONAL KNOWLEDGE IN ORDER TO MORE QUICKLY ACCESS

  • ORDER TO MORE QUICKLY ACCESS WHAT I NEED AND INCORPORATE IT

  • WHAT I NEED AND INCORPORATE IT INTO MY OWN WORK.

  • INTO MY OWN WORK. NOW WE'RE GOING TO SEE HOW WORD

  • NOW WE'RE GOING TO SEE HOW WORD ON LINE CAN CONNECT TO THAT IN

  • ON LINE CAN CONNECT TO THAT IN ORDER TO HELP YOU UNDERSTAND

  • ORDER TO HELP YOU UNDERSTAND YOUR COMPANY BETTER.

  • YOUR COMPANY BETTER. THAT ORGANIZATIONAL KNOWLEDGE

  • THAT ORGANIZATIONAL KNOWLEDGE CAN BE A BARRIER IN ADDITION TO

  • CAN BE A BARRIER IN ADDITION TO A HELP.

  • A HELP. I KNOW AT COMPANIES LIKE

  • I KNOW AT COMPANIES LIKE MICROSOFT, LIKE PROBABLY EVERY

  • MICROSOFT, LIKE PROBABLY EVERY LARGE COMPANI, IT CAN SOMETIMES

  • LARGE COMPANI, IT CAN SOMETIMES FEEL LIKE WE HAVE OUR OWN

  • FEEL LIKE WE HAVE OUR OWN LANGUAGE ESPECIALLY WHEN IT

  • LANGUAGE ESPECIALLY WHEN IT COMES TO ACRONYMS.

  • COMES TO ACRONYMS. WHEN YOU MOVE TEAMS OR WORK WITH

  • WHEN YOU MOVE TEAMS OR WORK WITH DIFFERENT GROUPS, IT CAN A

  • DIFFERENT GROUPS, IT CAN A BARRIER TO UNDERSTANDING.

  • BARRIER TO UNDERSTANDING. WE'RE CONNECTING WORD ON LINE

  • WE'RE CONNECTING WORD ON LINE DEEPLY TO THE MICROSOFT GRAPH

  • DEEPLY TO THE MICROSOFT GRAPH AND WORK KNOWLEDGE THAT I HAVE.

  • AND WORK KNOWLEDGE THAT I HAVE. WHEN I OPEN A DOCUMENT, WORD

  • WHEN I OPEN A DOCUMENT, WORD ONLINE CAN USE THAT KNOWLEDGE

  • ONLINE CAN USE THAT KNOWLEDGE PULLING FROM EMAILS I HAVE

  • PULLING FROM EMAILS I HAVE ACCESS TO AND DOCUMENTS I HAVE

  • ACCESS TO AND DOCUMENTS I HAVE ACCESS TO TO AUTOMATICALLY

  • ACCESS TO TO AUTOMATICALLY IDENTIFY ACRONYMS IN THE

  • IDENTIFY ACRONYMS IN THE DOCUMENT.

  • DOCUMENT. AND THEN WITHIN THE TOOL I'M

  • AND THEN WITHIN THE TOOL I'M USING, IDENTIFY THEM FOR ME SO I

  • USING, IDENTIFY THEM FOR ME SO I CAN SEE AI&R IS ARTIFICIAL

  • CAN SEE AI&R IS ARTIFICIAL INTELLIGENCE AND RESEARCH, OR

  • INTELLIGENCE AND RESEARCH, OR SEE THAT NPS MEANS NET PROMOTER

  • SEE THAT NPS MEANS NET PROMOTER SCORE.

  • SCORE. IT FOUND IT FROM FILES I HAVE

  • IT FOUND IT FROM FILES I HAVE ACCESS TO IN MY ORGANIZATION.

  • ACCESS TO IN MY ORGANIZATION. IF I HAVE ONE THAT I STILL DON'T

  • IF I HAVE ONE THAT I STILL DON'T UNDERSTAND, I SEE BPO MEANS

  • UNDERSTAND, I SEE BPO MEANS BUSINESS PLANNING OPERATIONS,

  • BUSINESS PLANNING OPERATIONS, BUT WHAT EXACTLY IS THAT?

  • BUT WHAT EXACTLY IS THAT? I CAN SEE THE SOURCE OF THE

  • I CAN SEE THE SOURCE OF THE INFORMATION AND GET AN EXCERPT

  • INFORMATION AND GET AN EXCERPT TO UNDERSTAND THAT BUSINESS

  • TO UNDERSTAND THAT BUSINESS PLANNING AND OPERATIONS IS A

  • PLANNING AND OPERATIONS IS A TEAM AT MICROSOFT.

  • TEAM AT MICROSOFT. NOW I'M GOING TO SHOW MY LAST

  • NOW I'M GOING TO SHOW MY LAST TWO DEMOS, AND THEY'RE BOTH IN

  • TWO DEMOS, AND THEY'RE BOTH IN OUTLOOK.

  • OUTLOOK. OUTLOOK AND RECENT FEATURES LIKE

  • OUTLOOK AND RECENT FEATURES LIKE FOCUS INBOX HAS DONE A LOT OF

  • FOCUS INBOX HAS DONE A LOT OF WORK TO HELP ME SPEND LESS TIME

  • WORK TO HELP ME SPEND LESS TIME MANAGING MY INBOX AND MORE TIME

  • MANAGING MY INBOX AND MORE TIME FOCUSING ON WHAT MATTERS TO ME.

  • FOCUSING ON WHAT MATTERS TO ME. AND SOON, OUTLOOK'S GOING TO

  • AND SOON, OUTLOOK'S GOING TO HELP ME DO THAT WITHIN AN

  • HELP ME DO THAT WITHIN AN E-MAIL.

  • E-MAIL. IF I OPEN UP THIS E-MAIL HERE,

  • IF I OPEN UP THIS E-MAIL HERE, YOU'LL SEE IT'S GOT A LOT OF

  • YOU'LL SEE IT'S GOT A LOT OF TEXT, BUT WE'RE ACTUALLY GOING

  • TEXT, BUT WE'RE ACTUALLY GOING TO USE NATURAL LANGUAGE

  • TO USE NATURAL LANGUAGE PROCESSING TO IDENTIFY THE

  • PROCESSING TO IDENTIFY THE ACTION ITEMS IN THIS TEXT

  • ACTION ITEMS IN THIS TEXT AUTOMATICALLY.

  • AUTOMATICALLY. OPEN UP THE E-MAIL.

  • OPEN UP THE E-MAIL. I'VE GOT A QUICK VIDEO I CAN

  • I'VE GOT A QUICK VIDEO I CAN SHOW.

  • SHOW. LIKE I TOLD YOU, THIS IS

  • LIKE I TOLD YOU, THIS IS BLEEDING EDGE STUFF THAT'S

  • BLEEDING EDGE STUFF THAT'S COMING SOON.

  • COMING SOON. THERE WE GO.

  • THERE WE GO. IT POPPED IN.

  • IT POPPED IN. SORRY ABOUT THAT.

  • SORRY ABOUT THAT. YOU SEE THAT AS I'M LOOKING

  • YOU SEE THAT AS I'M LOOKING THROUGH THE E-MAIL, WE'RE USING

  • THROUGH THE E-MAIL, WE'RE USING NATURAL LANGUAGE PROCESSING ON

  • NATURAL LANGUAGE PROCESSING ON THE E-MAIL TO IDENTIFY THE

  • THE E-MAIL TO IDENTIFY THE ACTION ITEMS IN IT

  • ACTION ITEMS IN IT AUTOMATICALLY.

  • AUTOMATICALLY. YOU SEE THE UNDERLINES UNDER

  • YOU SEE THE UNDERLINES UNDER "DID YOU SEE THE MESSAGE THE

  • "DID YOU SEE THE MESSAGE THE PARTNER SENT OUT."

  • PARTNER SENT OUT." IT'S PROVIDING SUGGESTED

  • IT'S PROVIDING SUGGESTED RESPONSES.

  • RESPONSES. THESE AREN'T CANNED, NOT JUST

  • THESE AREN'T CANNED, NOT JUST YES, NO, MAYBE.

  • YES, NO, MAYBE. IT SAID, DID YOU SEE THE UPDATE

  • IT SAID, DID YOU SEE THE UPDATE THE PARTNER SENT US, AND

  • THE PARTNER SENT US, AND RESPONSES ARE THINGS LIKE, YEAH,

  • RESPONSES ARE THINGS LIKE, YEAH, I SAW IT, OR NO, WHAT WAS IT.

  • I SAW IT, OR NO, WHAT WAS IT. IT'S TAILORED TO THE SPECIFIC

  • IT'S TAILORED TO THE SPECIFIC ACTION ITEM.

  • ACTION ITEM. WHEN I SAY, NO, WHAT WAS IT,

  • WHEN I SAY, NO, WHAT WAS IT, OUTLOOK AUTOMATICALLY CREATES A

  • OUTLOOK AUTOMATICALLY CREATES A REPLY, IT QUOTES THAT ACTION

  • REPLY, IT QUOTES THAT ACTION ITEM, AND INSERTS MY REPLY

  • ITEM, AND INSERTS MY REPLY DIRECTLY IN LINE.

  • DIRECTLY IN LINE. AND I CAN DO THAT THROUGHOUT THE

  • AND I CAN DO THAT THROUGHOUT THE ENTIRE E-MAIL RESPONDING TO EACH

  • ENTIRE E-MAIL RESPONDING TO EACH OF THESE ACTION ITEMS SO I CAN

  • OF THESE ACTION ITEMS SO I CAN REALLY QUICKLY MAKE SURE I'M

  • REALLY QUICKLY MAKE SURE I'M COVERING THE ACTION ITEMS AND

  • COVERING THE ACTION ITEMS AND RESPOND TO THEM EVEN ON THE GO.

  • RESPOND TO THEM EVEN ON THE GO. THE LAST FEATURE I WANT TO SHOW

  • THE LAST FEATURE I WANT TO SHOW IS IN OUTLOOK MOBILE.

  • IS IN OUTLOOK MOBILE. AND I HAVE A FEELING THAT THIS

  • AND I HAVE A FEELING THAT THIS FEATURE WAS BUILT EXACTLY FOR

  • FEATURE WAS BUILT EXACTLY FOR ME.

  • ME. ANYBODY WHO WORKS WITH YOU WILL

  • ANYBODY WHO WORKS WITH YOU WILL TELL ME THAT I AM A PERT PET --

  • TELL ME THAT I AM A PERT PET -- PERPETUALLY LATE PERSON.

  • PERPETUALLY LATE PERSON. I HAVE A TENDENCY TO SCHEDULE

  • I HAVE A TENDENCY TO SCHEDULE MEETINGS BACK TO BACK.

  • MEETINGS BACK TO BACK. I DON'T TAKE INTO ACCOUNT HOW

  • I DON'T TAKE INTO ACCOUNT HOW MUCH TIME IT WILL TAKE TO TRAVEL

  • MUCH TIME IT WILL TAKE TO TRAVEL BETWEEN THEM.

  • BETWEEN THEM. IT OFTEN HAPPENS THAT BY THE

  • IT OFTEN HAPPENS THAT BY THE TIME THE OUTLOOK REMINDER SHOWS

  • TIME THE OUTLOOK REMINDER SHOWS UP TO TELL ME I NEED TO BE THERE

  • UP TO TELL ME I NEED TO BE THERE IN 15 MINUTES, IT IS GOING TO

  • IN 15 MINUTES, IT IS GOING TO TAKE ME WAY TOO LONG TO GET

  • TAKE ME WAY TOO LONG TO GET ACROSS TOWN.

  • ACROSS TOWN. LUCKILY, OUTLOOK AND CORTANA

  • LUCKILY, OUTLOOK AND CORTANA WILL SOON SOLVE THAT PROBLEM FOR

  • WILL SOON SOLVE THAT PROBLEM FOR ME.

  • ME. YOU SEE THAT CORTANA IS GIVING

  • YOU SEE THAT CORTANA IS GIVING ME A NOTIFICATION THAT I NEED TO

  • ME A NOTIFICATION THAT I NEED TO LEAVE BY 5:05 TO ARRIVE ON TIME

  • LEAVE BY 5:05 TO ARRIVE ON TIME FOR DINNER WITH FRIENDS.

  • FOR DINNER WITH FRIENDS. IT'S TELLING ME IT'S GOING TO

  • IT'S TELLING ME IT'S GOING TO TAKE 24 MINUTES TO GET TO THE

  • TAKE 24 MINUTES TO GET TO THE LAKE HOUSE BASED ON MY CURRENT

  • LAKE HOUSE BASED ON MY CURRENT LOCATION AND CURRENT TRAFFIC

  • LOCATION AND CURRENT TRAFFIC CONDITIONS.

  • CONDITIONS. SO I KNOW I'M NOT LATE.

  • SO I KNOW I'M NOT LATE. I CAN EVEN FORCE TOUCH INTO THE

  • I CAN EVEN FORCE TOUCH INTO THE NOTIFICATION SO I CAN SEE A

  • NOTIFICATION SO I CAN SEE A ROUTE TO THE DESTINATION THAT

  • ROUTE TO THE DESTINATION THAT WE'RE GOING TO AND DEEP LINK

  • WE'RE GOING TO AND DEEP LINK INTO MY FAVORITE MAPPING

  • INTO MY FAVORITE MAPPING APPLICATIONS TO GET DIRECTIONS.

  • APPLICATIONS TO GET DIRECTIONS. SEE THAT WAS A QUICK LAP AROUND

  • SEE THAT WAS A QUICK LAP AROUND ALL OF THE A.I.-INFUSED FEATURES

  • ALL OF THE A.I.-INFUSED FEATURES IN OFFICE, BUT REALLY THAT'S

  • IN OFFICE, BUT REALLY THAT'S JUST A DROP IN THE BUCKET.

  • JUST A DROP IN THE BUCKET. WE'VE BEEN HARD AT WORK ADDING

  • WE'VE BEEN HARD AT WORK ADDING A.I. TO OFFICE FOR YEARS, AND

  • A.I. TO OFFICE FOR YEARS, AND THERE ARE LITERALLY DOZENS OF

  • THERE ARE LITERALLY DOZENS OF FEATURES THAT ARE A.I. POWERED.

  • FEATURES THAT ARE A.I. POWERED. YOU'LL SEE THINGS LIKE QUICK

  • YOU'LL SEE THINGS LIKE QUICK STARTER AND RESEARCHER.

  • STARTER AND RESEARCHER. YOU'LL SEE THINGS LIKE MY

  • YOU'LL SEE THINGS LIKE MY ANALYTICS, INK TO MATH, INK TO

  • ANALYTICS, INK TO MATH, INK TO SHAPE.

  • SHAPE. ONE OF MOO

  • SHAPE. ONE OF MOY FAVORITE, MATH

  • ONE OF MOY FAVORITE, MATH ASSISTANTS.

  • ASSISTANTS. AT THE BOOTH WE'LL TELL YOU ALL

  • AT THE BOOTH WE'LL TELL YOU ALL ABOUT THE FULL STORY OF OFFICE

  • ABOUT THE FULL STORY OF OFFICE AND A.I.

  • AND A.I. SO THANK YOU VERY MUCH.

  • SO THANK YOU VERY MUCH. [ APPLAUSE ]

  • [ APPLAUSE ] >> THANK YOU VERY MUCH, ROB.

  • >> THANK YOU VERY MUCH, ROB. JUST A LOT OF VERY EXCITING, YOU

  • JUST A LOT OF VERY EXCITING, YOU KNOW, A.I. FEATURES THAT WE, YOU

  • KNOW, A.I. FEATURES THAT WE, YOU KNOW, ALREADY INFUSED INTO MY

  • KNOW, ALREADY INFUSED INTO MY MICROSOFT PRODUCTS LIKE OFFICE

  • MICROSOFT PRODUCTS LIKE OFFICE 365.

  • 365. AT MICROSOFT WE ALSO WANT TO

  • AT MICROSOFT WE ALSO WANT TO MAKE SURE THAT WE CAN OFFER THIS

  • MAKE SURE THAT WE CAN OFFER THIS KIND OF INCREDIBLE A.I.

  • KIND OF INCREDIBLE A.I. EXPERIENCES TO DEVELOPERS AND

  • EXPERIENCES TO DEVELOPERS AND PARTNERS.

  • PARTNERS. HOW CAN WE HELP THEM TO VIEW THE

  • HOW CAN WE HELP THEM TO VIEW THE JUST AS EXCITING A.I.

  • JUST AS EXCITING A.I. APPLICATIONS?

  • APPLICATIONS? I TALKED EARLY ABOUT A.I.

  • I TALKED EARLY ABOUT A.I. PLATFORMS AND OTHER THINGS H. I

  • PLATFORMS AND OTHER THINGS H. I ALSO WANT TO MENTION THAT IN A

  • ALSO WANT TO MENTION THAT IN A KEY TO MAKING GREATER A.I. APPS

  • KEY TO MAKING GREATER A.I. APPS IS THE DATA.

  • IS THE DATA. THAT'S WHERE MICROSOFT IS IN A

  • THAT'S WHERE MICROSOFT IS IN A UNIQUE POSITION TO OFFER OUR

  • UNIQUE POSITION TO OFFER OUR PART INCREASE AND DEVELOPERS --

  • PART INCREASE AND DEVELOPERS -- PARTNERS AND DEVELOP FORCE HELP

  • PARTNERS AND DEVELOP FORCE HELP DEBUT A.I. APPLICATIONS BY

  • DEBUT A.I. APPLICATIONS BY PROVIDING THEM MICROSOFT GRAPHS.

  • PROVIDING THEM MICROSOFT GRAPHS. IT INCLUDES A GRAPH LIKE WHAT

  • IT INCLUDES A GRAPH LIKE WHAT YOU CAN GET FROM BING AND

  • YOU CAN GET FROM BING AND LINKEDIN, AND ALSO WORK

  • LINKEDIN, AND ALSO WORK KNOWLEDGE GRAPH FROM OFFICE 365

  • KNOWLEDGE GRAPH FROM OFFICE 365 DYNAMICS.

  • DYNAMICS. IMAGINE ALL OF OUR CUSTOMERS AND

  • IMAGINE ALL OF OUR CUSTOMERS AND PARTNERS, THEY CAN COMBINE

  • PARTNERS, THEY CAN COMBINE MICROSOFT GRAPHS WITH THEIR OWN

  • MICROSOFT GRAPHS WITH THEIR OWN BUSINESS DATA AND KNOWLEDGE

  • BUSINESS DATA AND KNOWLEDGE ABOUT THEIR OWN USERS.

  • ABOUT THEIR OWN USERS. TO BUILD APPLICATIONS FOR

  • TO BUILD APPLICATIONS FOR CUSTOMERS, EMPLOYEES, AND THEIR

  • CUSTOMERS, EMPLOYEES, AND THEIR BUSINESS.

  • BUSINESS. WE ARE VERY, VERY EXCITED ABOUT

  • WE ARE VERY, VERY EXCITED ABOUT THE OPPORTUNITIES THERE THAT WE

  • THE OPPORTUNITIES THERE THAT WE CAN WORK TOGETHER.

  • CAN WORK TOGETHER. AT MICROSOFT WE HAVE WORKED LONG

  • AT MICROSOFT WE HAVE WORKED LONG AND HARD TO BRING MANY GRAPHS

  • AND HARD TO BRING MANY GRAPHS TOGETHER, CONTAINED WITHIN A

  • TOGETHER, CONTAINED WITHIN A COMPLIANCE BOUNDARY.

  • COMPLIANCE BOUNDARY. THAT ACTUALLY CONFORMS TO OUR

  • THAT ACTUALLY CONFORMS TO OUR PRIVACY COMPLIANCE AND ALSO DATA

  • PRIVACY COMPLIANCE AND ALSO DATA POLICIES.

  • POLICIES. THAT'S VERY, VERY IMPORTANT TO

  • THAT'S VERY, VERY IMPORTANT TO ENTERPRISES.

  • ENTERPRISES. THOSE INVESTMENTS REALLY

  • THOSE INVESTMENTS REALLY UNDERSCORE WHAT WE HAVE BEEN

  • UNDERSCORE WHAT WE HAVE BEEN DOING IN THE MICROSOFT A.I.

  • DOING IN THE MICROSOFT A.I. AND RESEARCH, FIVE THINGS

  • AND RESEARCH, FIVE THINGS ACTUALLY I TALKED TO YOU.

  • ACTUALLY I TALKED TO YOU. I JUST WANT TO FINISH MY

  • I JUST WANT TO FINISH MY PRESENTATION BY MENTIONING SOME

  • PRESENTATION BY MENTIONING SOME ALSO IMPORTANT AND EXCITING

  • ALSO IMPORTANT AND EXCITING TOPICS NOWADAYS AS PEOPLE TALK

  • TOPICS NOWADAYS AS PEOPLE TALK ABOUT A.I. DEVELOPMENT IN

  • ABOUT A.I. DEVELOPMENT IN PARTNERSHIP, IN SOCIETY, AND

  • PARTNERSHIP, IN SOCIETY, AND ALSO IN ETHICS.

  • ALSO IN ETHICS. AS WE EMBRACE THIS A.I. FUND

  • AS WE EMBRACE THIS A.I. FUND HERE, WE HAVE TO ACKNOWLEDGE

  • HERE, WE HAVE TO ACKNOWLEDGE THAT, YOU KNOW, CONCERNS ABOUT

  • THAT, YOU KNOW, CONCERNS ABOUT A.I. DO EXIST.

  • A.I. DO EXIST. AND IT'S ACTUALLY IMPORTANT THAT

  • AND IT'S ACTUALLY IMPORTANT THAT WE HAVE SOME UNIVERSAL DESIGN

  • WE HAVE SOME UNIVERSAL DESIGN PRINCIPLES AND VALUES THAT HELP

  • PRINCIPLES AND VALUES THAT HELP GUIDE OUR THINKING, OUR DESIGN

  • GUIDE OUR THINKING, OUR DESIGN AND DEVELOPMENT.

  • AND DEVELOPMENT. WE TAKE IN THE ETHICAL APPROACH

  • WE TAKE IN THE ETHICAL APPROACH TO A.I. DESIGN SERIOUSLY.

  • TO A.I. DESIGN SERIOUSLY. OUR PRINCIPLED APPROACH IS

  • OUR PRINCIPLED APPROACH IS CRITICAL CONDITION, AND WE DO

  • CRITICAL CONDITION, AND WE DO THIS THOUGHTFULLY AND IN A

  • THIS THOUGHTFULLY AND IN A TRUSTWORTHY WAY, BOTH INSIDE

  • TRUSTWORTHY WAY, BOTH INSIDE MICROSOFT AND ALSO OUTSIDE.

  • MICROSOFT AND ALSO OUTSIDE. INTERNALLY WE HAVE ORGANIZED AN

  • INTERNALLY WE HAVE ORGANIZED AN ADVISORY COMMITTEE THAT HELPS

  • ADVISORY COMMITTEE THAT HELPS ENSURE THE ADHERENCE THE

  • ENSURE THE ADHERENCE THE PRINCIPLES IN OUR OWN A.I.

  • PRINCIPLES IN OUR OWN A.I. DEVELOPMENT.

  • DEVELOPMENT. AND EXTERNALLY, WE RECOGNIZE

  • AND EXTERNALLY, WE RECOGNIZE THAT WE CANNOT DO THAT ALONE.

  • THAT WE CANNOT DO THAT ALONE. WE CO-FOUNDED THE PARTNERSHIP ON

  • WE CO-FOUNDED THE PARTNERSHIP ON A.I. JUST OVER A YEAR AGO.

  • A.I. JUST OVER A YEAR AGO. THIS SAY NONPROFIT ORGANIZATION

  • THIS SAY NONPROFIT ORGANIZATION WHERE YOU SEE MANY LEADING TECH

  • WHERE YOU SEE MANY LEADING TECH COMPANIES AND ACADEMIA, CIVIL

  • COMPANIES AND ACADEMIA, CIVIL SOCIETIES, AND MANY, MANY

  • SOCIETIES, AND MANY, MANY NONPROFIT ORGANIZATIONS WHO

  • NONPROFIT ORGANIZATIONS WHO ACTUALLY CARE ABOUT THE FUTURE

  • ACTUALLY CARE ABOUT THE FUTURE OF A.I. DEVELOPMENTS.

  • OF A.I. DEVELOPMENTS. THIS IS SET UP TO STUDY, FORM

  • THIS IS SET UP TO STUDY, FORM LATE, AND SHARE THE BEST

  • LATE, AND SHARE THE BEST PRACTICES ON A.I. ON OFFICE.

  • PRACTICES ON A.I. ON OFFICE. WE BELIEVE WE NEED TO GIVE BACK

  • WE BELIEVE WE NEED TO GIVE BACK AS WE DEVELOP A.I.

  • AS WE DEVELOP A.I. I'D LIKE TO TAKE THIS

  • I'D LIKE TO TAKE THIS OPPORTUNITY TO THANK A

  • OPPORTUNITY TO THANK A REPRESENTATIVE THE A.I. FOR

  • REPRESENTATIVE THE A.I. FOR EARTH PROGRAM.

  • EARTH PROGRAM. THEY ARE HERE TODAY.

  • THEY ARE HERE TODAY. I ENCOURAGE YOU STOP BY THEIR

  • I ENCOURAGE YOU STOP BY THEIR BOOTHS TO TALK TO THEM, WHAT

  • BOOTHS TO TALK TO THEM, WHAT THEY DO FOR OUR SOCIETY.

  • THEY DO FOR OUR SOCIETY. FINALLY I WOULD SAY AS A FIRST

  • FINALLY I WOULD SAY AS A FIRST GENERATION TO LEAD WITH A.I., WE

  • GENERATION TO LEAD WITH A.I., WE PLAY A VERY UNIQUE ROLE IN

  • PLAY A VERY UNIQUE ROLE IN SHAPING THE FUTURE.

  • SHAPING THE FUTURE. AS WE WILL DO SO, THAT IS

  • AS WE WILL DO SO, THAT IS ACTUALLY THOUGHTFUL.

  • ACTUALLY THOUGHTFUL. THAT IS REALLY OUR NUMBER-ONE

  • THAT IS REALLY OUR NUMBER-ONE FOCUS IN MICROSOFT.

  • FOCUS IN MICROSOFT. SO THERE'S HAY LO

  • FOCUS IN MICROSOFT. SO THERE'S HAYA LOT WE DON'T KN

  • SO THERE'S HAYA LOT WE DON'T KN ABOUT A.I.'S IMPACT YET.

  • ABOUT A.I.'S IMPACT YET. WHAT WE DO KNOW IS THAT A.I. HAS

  • WHAT WE DO KNOW IS THAT A.I. HAS A LOT OF POTENTIAL TO REALLY

  • A LOT OF POTENTIAL TO REALLY IMPROVE LIVES, AND IT'S

  • IMPROVE LIVES, AND IT'S HPPENING NOW.

  • HPPENING NOW. LET ME SHARE A STORY ABOUT HOW

  • LET ME SHARE A STORY ABOUT HOW A.I. HAS GIVEN VOICES TO THOSE

  • A.I. HAS GIVEN VOICES TO THOSE WHO OTHERWISE WOULD HAVE HAD

  • WHO OTHERWISE WOULD HAVE HAD NONE.

  • NONE. >> A COMMUNICATION APP FOR

  • >> A COMMUNICATION APP FOR PEOPLE WHO ARE NONVERBAL, AND IS

  • PEOPLE WHO ARE NONVERBAL, AND IS SUPPORTS THEM IN EXPRESSING

  • SUPPORTS THEM IN EXPRESSING THEMSELVES.

  • THEMSELVES. >> MY DAUGHTER HAS AUTISM.

  • >> MY DAUGHTER HAS AUTISM. I FIND IT DIFFICULT TO

  • I FIND IT DIFFICULT TO COMMUNICATE, AND HE CAN GET

  • COMMUNICATE, AND HE CAN GET UPSET IF HE CAN'T MAKE HIMSELF

  • UPSET IF HE CAN'T MAKE HIMSELF UNDERSTOOD.

  • UNDERSTOOD. I TOOK WHAT WE USED AT HOME WITH

  • I TOOK WHAT WE USED AT HOME WITH SYMBOLS THAT MY MOM WOULD PRINT

  • SYMBOLS THAT MY MOM WOULD PRINT OUT, LAMINATE, CUT OUT, AND PUT

  • OUT, LAMINATE, CUT OUT, AND PUT THEM INTO FOLDERS, AND I JUST

  • THEM INTO FOLDERS, AND I JUST THOUGHT I COULD MAKE THAT EASIER

  • THOUGHT I COULD MAKE THAT EASIER IF WE DID IT ON A APP AND MORE

  • IF WE DID IT ON A APP AND MORE FUN FOR ROWAN BECAUSE HE LOVES

  • FUN FOR ROWAN BECAUSE HE LOVES TECHNOLOGY.

  • TECHNOLOGY. >> THE UNDERLYING A.I.

  • >> THE UNDERLYING A.I. TECHNOLOGY WHICH IS USED IS THE

  • TECHNOLOGY WHICH IS USED IS THE SAME TECHNOLOGY WHICH POWERS THE

  • SAME TECHNOLOGY WHICH POWERS THE SWIFT AUNG SAN SUU KYIBOARD.

  • SWIFT AUNG SAN SUU KYIBOARD. WE USE A.I. TECHNOLOGY TO BE

  • WE USE A.I. TECHNOLOGY TO BE ABLE TO LEARN FROM THE USER'S

  • ABLE TO LEARN FROM THE USER'S BEHAVIOR, TO SEE WHAT THEY

IT'S MY PLEASURE TO

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