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DESCRIPTION:Click for Latest Location Information: http://dgiq-edw2026.data
 versity.net/sessionPop.cfm?confid=165&proposalid=16542\nFor years, data gov
 ernance teams have been fighting an uphill battle and have been seen as bot
 tlenecks that slow down AI initiatives. At Xcel Energy, we flipped the scri
 pt by positioning governance as the foundation that enables fast, responsib
 le innovation. This session shares our transformation story. We built an LL
 M-powered "Classinator" that reduced data classification time fro
 m 6 months to 2 weeks with 92% accuracy. We developed workshop approaches t
 hat align stakeholders on domain ownership in 90 minutes instead of months.
  We embedded governance controls directly into our Databricks platform so q
 uality and compliance happen automatically. But this isn't just about t
 echnology, it's about having the courage to prioritize ruthlessly, spea
 king the language of business value, and owning outcomes with real accounta
 bility. If your governance program is stuck in planning while competitors s
 hip AI products, you'll leave with practical strategies you can impleme
 nt Monday morning.\n\nKey Takeaways: \n\n
 Position governance as an AI enabler that gets executive funding, not overh
 ead\n
 Use LLMs to automate data classification at enterprise scale (real Xcel exa
 mple)\n
 Align stakeholders in 90-minute workshops instead of months-long committee 
 cycles\n
 Apply risk-based governance and focus resources on the 20% of data that dri
 ves 80% of value\n
 Embed governance controls in platforms from day one rather than bolting the
 m on later\n
 Build accountability through named ownership and measure impact using busin
 ess metrics that executives care about\n\n
DTSTART:20260505T101500
SUMMARY:Data Governance as an AI Enablement Strategy
DTEND:20260505T105959
LOCATION: See Description
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