DGIQ-EDW26: Public Sector AI: Lessons From the Frontlines of Federal Government

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As artificial intelligence reshapes industries, the public sector faces a unique challenge: how to leverage AI’s power while upholding trust, transparency, and accountability. This session explores lessons learned from the frontlines of federal government AI transformation, where policy meets implementation. Drawing from experience leading enterprise data and AI strategy initiatives within federal agencies, including the White House and Securities and Exchange Commission, this talk examines how to modernize legacy data systems, establish ethical governance, and operationalize AI responsibly across complex organizations. Attendees will gain a practical understanding of what it takes to build data foundations that support secure, explainable, and mission-aligned AI. Through real-world examples and frameworks, this session will demonstrate how public institutions can move from pilot projects to sustainable, scalable impact — ensuring AI serves citizens with fairness, efficiency, and measurable value.

Key Takeaways:

  • Proven strategies for scaling AI responsibly in government
  • How to bridge policy, data, and technology in real-world environments
  • Frameworks for AI governance and oversight in the public sector
  • Lessons on data modernization as a prerequisite for AI success
  • Methods for building trust, transparency, and accountability in AI use
  • Case examples of measurable impact in federal AI initiatives

Speaker: Dia Adams, Chief Data & AI Officer, Datafolx AI

Dia Adams is a seasoned data and AI consultant working with private sector clients and government agencies. Her career highlights include serving as an Enterprise Data Strategist at the White House and architecting groundbreaking data and AI solutions at the Securities and Exchange Commission. She has two decades of experience in data and AI strategy and digital transformation, helping organizations such as Bank of America and Johnson & Johnson with projects in data analytics, AI, and machine learning. She is the recent author of the best-selling book “Winning With AI: A Blueprint for Corporate Leaders," where she details step-by-step how businesses can successfully implement AI initiatives.

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