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DTSTAMP:20260315T103014Z
DESCRIPTION:Click for Latest Location Information: http://edw2023fall.datav
 ersity.net/sessionPop.cfm?confid=157&proposalid=14630\nThis presentation wi
 ll share how data governance and data management capability maturity should
  influence organizations’ preparedness to invest in leveraging AI/ML 
 Models. In this session, we will: \n\n
 Present an AI/ML model deconstructed, a subject area model detailing the mo
 st critical and common business, governance, technology, and data-related c
 omponents which are part of or influence its lifecycle.  \n
 Demonstrate the need for a data governance operating model to ensure AI/ML 
 model inputs and outputs are understood and proactively managed. This 
 sets the stage to identify and overcome regulatory and reputational risks a
 nd ensure ethical use of an individual’s data is always at the forefr
 ont.   \n
 Explore the surprisingly large ecosystem stakeholders, within and outside t
 he organization, which influence the model’s success and with which m
 odel developers must interact transparently.\n
 Summarize why focusing on maturing its data governance and management capab
 ilities to support AI/ML Models benefits a host of other enterprise-level u
 se cases.    \n\n
DTSTART:20230919T111500
SUMMARY:How Data Governance and Data Management Capability Maturity Should 
 Influence Your Investment in AI/ML Models
DTEND:20230919T115959
LOCATION: See Description
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