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DTSTAMP:20260514T064252Z
DESCRIPTION:Click for Latest Location Information: http://edw2021.dataversi
 ty.net/sessionPop.cfm?confid=133&proposalid=12924\nAs businesses start to s
 cale the use of AI as a transformative power to innovate and be more effici
 ent, they have to manage the risks that come from it. Specifically, when de
 aling with sensitive customer data and in regulated industries, governance 
 is a mandatory aspect of operations. However, as AI becomes more prevalent 
 there are new gaps that need to be addressed in governing the lifecycle of 
 data as well as the models trained on those data. At the same time, governa
 nce processes should not impede the iterative nature of data science experi
 ments that help build and operate AI applications. \n \nJoin IBM 
 and RBC Bank to hear firsthand why AI Governance is becoming increasingly i
 mportant in today’s age from governing for control to governing for e
 fficiency and outcomes.\n
DTSTART:20210421T080000
SUMMARY:AI Governance: Driving Compliance, Efficiency, and Outcomes with RB
 C Bank 
DTEND:20210421T084959
LOCATION: See Description
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