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DTSTART:20230312T070000
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DTSTART;TZID=America/Toronto:20231115T140000
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URL:https://uwaterloo.ca/data-science/events/data-science-industry-panel-ev
 ent-industry-and-academic
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West DC 1302 Waterloo ON N2L 3G1 Canada
SUMMARY:Data Science Industry Panel Event: Industry and Academic Perspectiv
 es
CLASS:PUBLIC
DESCRIPTION:JOIN US NOVEMBER 15\, 2023 AT 2 P.M. IN DC 1302 FOR THE DATA SC
 IENCE\nINDUSTRY PANEL EVENT: INDUSTRY AND ACADEMIC PERSPECTIVES\n\nRegiste
 r to attend\n[https://www.ticketfi.com/event/5364/data-science-industry-pa
 nel-event-industry-and-academic-perspectives]\n\n-------------------------
 \n\nEVENT HIGHLIGHTS\n\nEXPERT TALKS:\n\nHear from YANNICK LALLEMENT\, VP
 \, Global Artificial Intelligence &\nMachine Learning at Scotiabank and 
 TAMER ÖZSU\, Professor in the\nDavid R. Cheriton School of Computer Scien
 ce at the University of\nWaterloo\, as they explore data science from an
  industry and academic\nperspective.\n\nPANEL DISCUSSION:\n\nOur distingui
 shed panel of experts will answer questions and further\ndiscuss perspecti
 ves of Data Science.\n\n* Tamer Özsu\, Professor | David R. Cheriton Sch
 ool of Computer\nScience  \n * Yannick Lallement\, VP\, Global Artificia
 l Intelligence & Machine\nLearning | Scotiabank \n * Jeff Hatcher\, Dire
 ctor\, Advanced Analytic | Canadian Institute\nfor Health Information \n
 \nNETWORKING OPPORTUNITIES: \n\nThe talk and panel event will be followed
  by an opportunity to network\nwith our experts\, special guests and fello
 w classmates in DC 1301.\n_REFRESHMENTS WILL BE SERVED. _\n\n------------
 -------------\n\nEVENT TALKS\n\nSCOTIABANK'S APPROACH TO LARGE LANGUAGE MO
 DELS (LLM) \nYannick Lallement | VP\, Global Artificial Intelligence & Ma
 chine\nLearning\, Scotiabank \n\nA presentation on Scotiabank's risk-base
 d approach to LLM enablement.\nIncluding the usage of ChatGPT\, the major 
 use cases identified so far\nand their road to production\, and an update 
 on various LLM pilots the\nbank is running. \n\n A SYSTEMATIC VIEW OF DA
 TA SCIENCE \nTamer Özsu | Professor\, David R. Cheriton School of Compu
 ter\nScience \n\n​There is a data-driven revolution underway in science
  and society\,\ndisrupting every form of enterprise. We are collecting and
  storing\ndata more rapidly than ever before. There is an increasing recog
 nition\nthat data science can assist in leveraging this data and the insig
 hts\nobtained from it into products\, systems\, and policies. This has\nre
 sulted in the formation within academia of data science research\ncentres\
 , institutes and even academic units and the establishment of\nmajor initi
 atives within every major industrial organization. However\,\nour understa
 nding of data science is vague and highly varied and\, in\nmany cases\, ar
 e squeezed to fit the available openings within an\ninstitution. There is 
 a need to approach this field systematically to\ndefine its scope and its 
 boundaries. The objective of this talk is to\nprovide such a consistent an
 d systematic study of the scoping of data\nscience.   
DTSTAMP:20260503T214128Z
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