
Rebecca Cai
Chief Data Officer,
State of Hawaii
AI adoption across government is accelerating — but not without challenges. Agencies are experimenting, piloting, scaling, and sometimes stumbling as they integrate AI into mission‑critical operations. The result? A growing body of real‑world lessons about what works, what doesn’t, and what it truly takes to deploy AI responsibly and effectively in the public sector.
Join us online Wednesday, Feb. 18 at 12 p.m. ET/9 a.m. PT for a virtual summit focused on practical, hard‑earned lessons from government AI implementations — and how leaders are turning those lessons into smarter, safer, more impactful AI programs.
Specifically, you’ll learn:
Other Info:

Chief Data Officer,
State of Hawaii

Deputy Chief Data Officer,
Virginia Office of Data Governance and Analytics

Chief Technology Officer and Director of Products,
Modus Operandi

Senior U.S. Public Sector Partnerships Lead,
Coursera

Enterprise Account Manager,
Coursera

Head of Marketing,
Yoonify

Co-Founder & CEO,
Yoonify

Head of Public Sector Product Marketing,
Wiz
Government Keynote: From Pilot to Production — What Agencies Learned Deploying AI at Scale
Early AI pilots revealed both opportunities and obstacles. In this keynote, a government leader will share the biggest lessons learned from moving AI initiatives beyond experimentation — including what they would do differently and how agencies can avoid common implementation mistakes.
Lightning Keynote: Breaking Down Barriers to an AI-Skilled Workforce
In this keynote, Coursera's Jonathan Hasak and Aaron Hunter will discuss a challenge facing agencies at every stage of AI maturity: the growing AI skills gap. They will share how a personalized approach to AI learning can help agencies build an AI-fluent workforce and unlock the full value of AI across the organization.
Lightning Keynote: Making Decisions More Efficiently With AI-Native Platforms
Agencies making purchasing and policy decisions face complex data, fragmented workflows, and high compliance demands. This lightning keynote examines how AI-native solutions organize documents and processes to support faster, more informed decision-making without sacrificing transparency or oversight.
Government Keynote: Data Governance, and Reality — Building the Foundations for Successful AI
AI success depends on strong data practices, clear governance, and realistic expectations. This keynote explores how agencies are strengthening data pipelines, establishing oversight frameworks, and aligning AI use cases with mission needs — based on real implementation experiences.
Lightning Keynote: Empowering Innovation Through Automated Risk Management
Cloud‑native development moves fast, but traditional security and compliance checks can’t keep pace. This lightning keynote explores how automated risk management enables agencies to innovate quickly while maintaining continuous security, visibility, and trust across modern cloud environments.
Lightning Keynote: How to Make AI Outcomes More Effective
This lightning keynote explores how agentic Retrieval Augmented Generation (RAG) breaks down dense documents into meaningful knowledge elements—unlocking more accurate, contextual AI insights. Discover how agencies can improve AI reliability and outcomes by structuring their data for deeper understanding.
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