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DESCRIPTION:Click for Latest Location Information: http://dgiq-aigov2026.da
 taversity.net/sessionPop.cfm?confid=166&proposalid=16734\nThe objective of 
 this session is to align multiple methodologies of Data and AI Governa
 nce to modern Product Management frameworks in order to give the attendees 
 an effective way to choose what will work best for them in their practice a
 nd organization. Not all approaches to AI Governance are equal with re
 gard to products, platforms, and methodology. Establishing the basic l
 ens in which to view them will be the main focus of this session.\n\nAI Gov
 ernance frameworks are quickly being stood up to supply a growing need for 
 managing cost, returns on investment, and regulatory compliance. 
 Similar to the 2010s, when Data Governance began to get a lot of traction, 
 there are some clear benchmarks available to determine the efficacy of evol
 ving your AI Governance initiative from a bureaucratic process to a value-e
 nabler. The session will also look at how AI Governance product and pl
 atform offerings are being positioned in the market.\n\n
 AI Governance – Basic areas to oversee, from people to process to tec
 hnology\n
 How AI is leveraged to identify opportunities in revenue generation and cos
 t optimization\n
 Regulatory impacts for AI – for both heavily regulated industries and
  industries that historically were less impacted\n
 AI adoption with the right guardrails\n
 Products, Platforms, and Processes to Accelerate\n
DTSTART:20261117T134500
SUMMARY:A Product First Approach to AI Governance
DTEND:20261117T142959
LOCATION: See Description
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