Tune in May 21 at 2 pm ET

Artificial intelligence isn’t magic — it’s math. And for federal agencies, that math only works if the data is clean, accessible and well governed.

AI and machine learning hold huge potential for mission-critical work, from emergency response to fraud detection. But those outcomes rely on strong data foundations. Without quality, well-managed data, even the most advanced models will fall short.

This webinar brings together federal data and AI leaders to break down what data readiness looks like in practice. They’ll discuss how agencies are addressing long-standing issues like siloed systems, inconsistent quality and limited data access — and what it takes to move toward a modern data strategy that supports real-time insights, responsible AI and smarter decisions.

Experts will share how they define and implement data enablement, what governance approaches actually stick and how to balance security with accessibility and self-service. The conversation will also cover what to do when data isn’t perfect, how to prioritize early investments and where MLOps fits as AI capabilities scale.

You’ll hear real-world examples of how agencies have moved from batch reporting to near real-time analytics, and what lessons they’ve learned along the way. If your agency is exploring AI or expanding ML capabilities, this session will help you understand what it takes to get your data and your organization ready to deliver on that promise.