BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//hacksw/handcal//NONSGML v1.0//EN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260410T175414Z
DESCRIPTION:Click for Latest Location Information: http://dgiq2023east.data
 versity.net/sessionPop.cfm?confid=158&proposalid=14847\nAI (artificial inte
 lligence) is bringing new levels of efficiency, insight, and productivity t
 o business, and we are just getting started with its incredible potential. 
 However, the real challenge lies in ensuring that the data going into the A
 I models is comprehensive, accurate, protected, and unbiased.\n\nFurthermor
 e, what is the data coming out of the models and what are the implications?
  Is it even useful and ethical? Join this discussion to understand the crit
 ical level of responsibility for data and business managers and what indust
 ry frameworks (such as DCAM, the Data Management Capabilities Assessment Mo
 del) – can be incorporated to achieve best practices for data governa
 nce for responsible AI. 
DTSTART:20231205T101500
SUMMARY:AI Data Governance: What Is Needed To Ensure Trust in Your AI/Analy
 tics Agenda?
DTEND:20231205T105959
LOCATION: See Description
END:VEVENT
END:VCALENDAR