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DTSTAMP:20260613T151711Z
DESCRIPTION:Click for Latest Location Information: http://dgiq2023east.data
 versity.net/sessionPop.cfm?confid=158&proposalid=14831\nThis presentation f
 ocuses on the challenges faced by organizations in adapting to increasing, 
 and sometimes conflicting, data regulations and preparing for compliance wi
 th proposed AI regulations.&nbsp;As data use and ethical considerations con
 tinue to gain prominence, businesses must proactively address these concern
 s to ensure compliance and build trust with their stakeholders and customer
 s. This presentation will explore strategies and best practices for navigat
 ing the evolving regulatory landscape, specifically in the context of data 
 management and AI implementation.\n\nKey topics covered include understandi
 ng the impact of data regulations on business operations, assessing organiz
 ational data governance practices, implementing privacy-enhancing technolog
 ies, establishing transparent and explainable AI models, and fostering a cu
 lture of compliance and accountability. By proactively addressing these are
 as, organizations can position themselves for success in a data-driven worl
 d while maintaining regulatory compliance and meeting the expectations of c
 ustomers and regulators alike.\n\nKey points:\n\n
 Understanding the impact of increasing data regulations on business operati
 ons\n
 Assessing and improving organizational data governance practices for enhanc
 ed compliance\n
 Implementing privacy-enhancing technologies to safeguard customer data and 
 maintain compliance\n
 Establishing a forward-thinking framework for AI models to address proposed
  AI regulations\n\n
DTSTART:20231206T150000
SUMMARY:Adapting to Increasing Data Regulations and Readying Compliance wit
 h AI Regulations: Lessons from the Trenches
DTEND:20231206T154459
LOCATION: See Description
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