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DESCRIPTION:Click for Latest Location Information: http://dgiq-edw2026.data
 versity.net/sessionPop.cfm?confid=165&proposalid=16360\nAs artificial intel
 ligence reshapes industries, the public sector faces a unique challenge: ho
 w to leverage AI’s power while upholding trust, transparency, and acc
 ountability. This session explores lessons learned from the frontlines of f
 ederal government AI transformation, where policy meets implementation. Dra
 wing from experience leading enterprise data and AI strategy initiatives wi
 thin federal agencies, including the White House and Securities and Exchang
 e Commission, this talk examines how to modernize legacy data systems, esta
 blish ethical governance, and operationalize AI responsibly across complex 
 organizations. Attendees will gain a practical understanding of what it tak
 es to build data foundations that support secure, explainable, and mission-
 aligned AI. Through real-world examples and frameworks, this session will d
 emonstrate how public institutions can move from pilot projects to sustaina
 ble, scalable impact — ensuring AI serves citizens with fairness, eff
 iciency, and measurable value.\n\nKey Takeaways:\n\n
 Proven strategies for scaling AI responsibly in government\n
 How to bridge policy, data, and technology in real-world environments\n
 Frameworks for AI governance and oversight in the public sector\n
 Lessons on data modernization as a prerequisite for AI success\n
 Methods for building trust, transparency, and accountability in AI use\n
 Case examples of measurable impact in federal AI initiatives\n\n
DTSTART:20260505T164500
SUMMARY:Public Sector AI: Lessons From the Frontlines of Federal Government
DTEND:20260505T172959
LOCATION: See Description
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