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DTSTAMP:20260722T235951Z
DESCRIPTION:Click for Latest Location Information: http://dgiq-aigov2026.da
 taversity.net/sessionPop.cfm?confid=166&proposalid=16858\nAs organizations 
 accelerate data and AI initiatives, governance functions often evolve indep
 endently, creating fragmented intake processes, duplicative reviews, incons
 istent risk assessments, and increased burden on delivery teams. Privacy, A
 I, security, and data governance teams frequently evaluate similar risks th
 rough separate workflows, resulting in delays and fragmented visibility acr
 oss the enterprise.\n\nThis session explores how Lowe&#39;s transformed gov
 ernance from a collection of siloed processes into a unified operating mode
 l by establishing a centralized governance and risk management framework. T
 hrough a single front-door experience, teams engage governance stakeholders
  through a streamlined workflow that standardizes assessments, consolidates
  risk scoring, and provides consistent outcomes across initiatives.\n\nThe 
 presentation will also review how companies can insert privacy and governan
 ce controls directly into their data lake ecosystem, enabling greater trans
 parency into data ownership, project accountability, data completeness, and
  compliance requirements. By integrating governance metadata into the enter
 prise data landscape, companies can create a scalable foundation for report
 ing, stewardship, and risk visibility while reducing manual effort and impr
 oving decision-making.\n\nKey Takeaways:\n\n
 Framework for unifying AI, Privacy, Data, and Security into a single proces
 s.\n
 Methods for simplifying governance decisions through centralized evaluation
  and risk scoring.\n
 Approaches for embedding privacy and governance directly into data platform
 s and workflows.\n
 Techniques for increasing visibility into data ownership, stewardship, qual
 ity, and compliance.\n\n
DTSTART:20261118T143000
SUMMARY:One Governance Front Door: Unifying AI Governance, Data Governance,
  Privacy, and Security
DTEND:20261118T151459
LOCATION: See Description
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