Placeholder Image

Subtitles section Play video

  • ERIC TSUI: It has been reported in the Daily Mail

  • that a Hong Kong based Japanese venture capital company called

  • Deep Knowledge recently appointed a robot called

  • Vital to sit on it's board of directors to predict investment trends.

  • Vital has the same right and privileges as other board members in the company,

  • but it is the first robot in the world to be appointed to this position.

  • SPEAKER 1: Wow, Professor, I thought that robots were only

  • known for speed and accuracy, not this type of work.

  • If we cannot make decisions as fast and as intelligent as a robot,

  • does that mean that we won't have jobs when we graduate in the future?

  • Professor, how can we deal with such a challenge?

  • ERIC TSUI: That's a great question.

  • This is innovation.

  • It's accelerating all over the world.

  • We need to understand the underlying factors that lead to these changes.

  • We've just witnessed the beginning of a lawless revolution.

  • In the past decade, we have had the information revolution,

  • but that is still about automation, regardless of whether that

  • is in an office or in a factory.

  • Information is often structured, informative,

  • and can be processed by rules and formulas.

  • Knowledge, on the other hand, is often unstructured, scattered, implicit,

  • and embedded in actions people take.

  • We know fairly well how to manage information,

  • but we are still learning how to manage and create

  • knowledge, which is considered to be the principal resources

  • for future organizations.

  • Thanks to the printing invention, information

  • has spread extensively worldwide.

  • People have access to information in the form of, for example,

  • books, magazines, papers, et cetera.

  • With the use of computers, a huge amount of information

  • can be processed, even when the volume is growing exponentially.

  • However, such processing is limited to only static and explicit knowledge.

  • Over the years, although various ICT tools

  • have been developed to store, organize, and reuse information,

  • we still need human brain to integrate and make

  • sense of such information in order to create value.

  • The more brains we can connect, the more powerful our decisions

  • and resulting actions can be.

  • As a transdisciplinary field, knowledge management

  • is not just concerned with preserving past knowledge, but also

  • the social and technological processes involved in generating and creating

  • new knowledge.

  • Such processes are often associated with rapid generations

  • of a huge amount of data.

  • That is why we also need to understand big data

  • and to recognize it normally resides in a cloud environment.

  • Research services from IDC has projected by 2020,

  • the size of the digital universe will reach 40 zetabytes.

  • The sources will be websites, weblogs, census, and social media.

  • Big data will challenge the way we generate new knowledge,

  • the way that we identify causal relationships,

  • and teach us how to dispense with acceptance and use approximations.

  • The massive amount of data connections, structured, and unstructured

  • information and knowledge in the cloud has offered us

  • new paradigms for decision making.

  • For example, if we can analyze for cause and effect,

  • we can discover hidden knowledge in relationships,

  • and we can execute quick decisions with approximated data.

  • These paradigms and more will have a profound effect on the way

  • that we think and make sense of the world.

  • SPEAKER 2: Wow.

  • You mean the robot Vital has [INAUDIBLE] all this intelligence

  • and has access to all of the data it needs to draw on.

  • That's why it can make fast, accurate, and intelligent decisions.

  • ERIC TSUI: If you want to know more about knowledge management, knowledge

  • revolution, open link data, big data, as well as cloud services,

  • sign up for this course.

  • We use many examples and cover many applications and case studies.

  • These you will find very interesting.

  • SPEAKER 2: Professor, but I do not have a computing backgrounds.

  • Can I still take this course?

  • Will I understand what it is about?

  • ERIC TSUI: Well, don't worry.

  • This course is not designed just for IT professionals.

  • We deliver all concept at the business and application levels.

  • In fact, in the course, we have an overview and introduction

  • to skills and knowledge required for knowledge workers

  • in designing new and innovative business services.

  • These are the learning outcomes.

  • Number one, understand the road of knowledge management practitioners

  • in creating value.

  • Number two, be familiar with the techniques

  • and tools for capturing, processing, classifying, and organizing knowledge.

  • Number three, appreciate how to analyze large quantities of knowledge

  • using analytics.

  • Number four, grasp the role of social media and technologies

  • in innovating new business services.

  • And finally, number five, apply the principles you

  • have learned to company-based business project.

  • This course will be delivered by the following four specialists.

  • Come join us and start a knowledge revolution yourself.

ERIC TSUI: It has been reported in the Daily Mail

Subtitles and vocabulary

Click the word to look it up Click the word to find further inforamtion about it