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How to Achieve Data Analytics and Artificial Intelligence in X

Knowledge Transfer Office (January 23, 2018)
2469









SEMINAR SERIES : Distinguished Lecture

MAJOR SPEAKER : Sidhu, Ikhlaq
LENGTH : 77 min.
ACCESS : Open to all
SUMMARY : HKBU has recently embarked upon a journey of integrating the emerging areas of Data Analytics and Artificial Intelligence with X, where X is effectively a broad range of academic research and teaching areas. Coincidentally, at the University of California Berkeley, we have also been actively developing a new level integration between data related technology areas and a wide array of academic areas including humanities, engineering, and business.

In fact, although Data and AI is an important topic for CS departments in a technical sense, it's also an important teaching and research area for non-technical parts of any university. Topics covered in this talk will include i) research direction examples, ii) strategies to maximize the benefit of Data and AI across the university, and iii) the evolution of data-related education including some examples from recent initiatives at Berkeley and our collaboration with HKBU intended to prepare students for a changing world.  [Go to the full record in the library's catalogue]



  ●  Persistent link: https://hkbutube.lib.hkbu.edu.hk/st/display.php?bibno=st835
  ●  XML Dublin Core code for metadata harvesting


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