Name: Ziya Ma, Intel Corporation | WiDS 2018
Uploaded: 2019-03-24T01:49:21.000Z
Duration: 17 min 39 s
Description: Thousands of YouTube videos with English-Chinese subtitles! Now you can learn to understand native speakers, expand your vocabulary, and improve your pronunciation...

>> Announcer: Live from
Stanford University

Covering Women in Data
Science Conference 2018.

>> Welcome back to theCUBE, we are live at

Women in Data Science
Conference, hashtag WiDS2018.

and you're going to see people
at WiDS events in over 177

100,000 people in the next couple of days,

It's aimed at inspiring and
educating data scientists

worldwide and of course
supporting females in the field.

And we're excited to
welcome back to theCUBE,

a cube alumni, Ziya Ma,
the Vice President of

Director of Big Data
Technologies at Intel.

>> You have been, this is your
first time coming to a WiDS

event in person and your first year here.

What were some of the
things that excited you?

surprised you in what
you heard at that panel?

>> So I think one thing
that was really exciting

And it was the future of
what data science can bring.

And also, it's very
exciting to get connected

so much advancement in women
development in data science.

Comparing where we are and
where we were two years ago,

it's great to see so many
woman speakers and leaders

talking about their work
in the data science space,

applying data science to
solve real business problems,

I think that's the happy
surprise, you know,

the fast advancement with woman
development in this field.

>> What were some of the
things that you shared,

You've been at Intel
for quite a long time.

What were some of the things that you felt

those in-person here at Stanford
which is about 400 plus,

>> Yeah, you know, Lisa,
I provide career coaching

that I need to develop in
order to get into this field?

what kind of job you want
to get into in this field.

You know, there are marketing
jobs, there are sales jobs.

And even for technical jobs,
there are data engineering

statistician, data
science, or AI engineer,

machine learning, deep learning engineer.

So you have to ask
yourself, what kind of job

you want to move to and then
assess your skillset gap.

Another advice I give to
many woman professionals

is that data science appears
to have a high bar today.

to move from where you are
to a data science field.

You may want to move to
adjacent field first.

and also have more insights
with what's going on.

>> Great advice and I think
one of the things that jumped

out at me was you talked about skillsets.

And we often hear a lot of
the technical skills, right,

But there's also softer
skills, maybe it's more

left brain, right brain,
creativity, empathy, communication.

Tell me, in your ascension
to now the VP level at Intel,

what are some of the other skills besides

as data science as a field grows
and infiltrates everything,

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Ziya Ma, Intel Corporation | WiDS 2018

perspective

absolutely

effort

infrastructure