Government agencies are investing aggressively in AI — generative AI, copilots, agents, and analytics — on top of modern data platforms and mission systems. On the surface, the architecture may look complete. Underneath, it tells a different story.
Case files sit in content repositories. Data lives in lakes and warehouses. Context is buried in emails, narratives, policies, and records. AI is being deployed into this environment — looking through narrow windows into isolated systems, pulling partial or unverified information. Hallucination risk goes up. Trust goes down. Pilots stall before they reach mission scale.
What's missing isn't more data, or even better models. It's the ability to connect, enrich, govern, and deliver enterprise knowledge across systems as a complete operational picture.
Key takeaways
In one hour, we'll walk through:
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Discover. Find what's hidden across 2,300+ file types and 160+ repositories — without forcing migration or replication.
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Prepare. Make content AI-ready with multi-modal AI, automated metadata enrichment, and semantic tagging.
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Govern. Identify and protect sensitive data with advanced entity recognition and permission-aware search — PII, PHI, and government grammars across 97 countries and 42 languages.
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Action. Connect AI to the people, processes, and systems that use it — with hybrid AI and context-rich responses.
Speakers
Keith Nelson
Global Public Sector Marketing · OpenText
Keith leads Global Public Sector Marketing at OpenText. He has spent more than 20 years in public sector consulting, high-tech marketing, and as a government appointee — serving as Assistant Secretary for Administration (a position requiring Senate confirmation), Acting Assistant Secretary for Research and Technology, Acting Chief Financial Officer, and Deputy Chief Information Officer across the U.S. Departments of Transportation, Labor, and Housing and Urban Development.
Caroline Kuharske
Chief Data and AI Officer
Caroline serves as Chief Data & AI Officer at August Schell, where she helps federal organizations navigate the rapidly evolving AI landscape without compromising integrity. She brings a battle-tested perspective to the role, having previously served as Chief Data Officer at the Defense Information Systems Agency (DISA) — where she built a reputation for bridging the gap between federal policy constraints and the speed of modern technical execution.