Federal agencies are accelerating AI adoption to increase speed and efficiency, but AI is only as effective as the trusted data that powers it. While agencies possess vast datasets, much remains isolated, inconsistent, and untrusted, putting AI programs at risk.
To unlock AI's full potential, data must be accessible, transparent, and contextualized. Strategies like building internal data marketplaces and creating autonomous data products can extend the usefulness of AI-ready data while reducing workload. This transformation aligns with the Federal Data Strategy and initiatives like VAULTIS (Visible, Accessible, Understandable, Linked, Trusted, Interoperable, and Secure).
Join government and industry leaders as they explore how agencies can prepare data for AI, the role of modern unified data management platforms in enabling innovation, and how federal initiatives are shaping data-driven decision-making.
Learning Objectives:
- Explore what makes data trustworthy, high-quality, and usable for AI across federal missions
- Understand how governance frameworks like VAULTIS support AI readiness
- Discuss how agencies can align data practices with mission priorities and long-term AI strategies
Speakers:
- Geoff Schaefer, Vice President of AI Strategy and Governance, Leidos
- Sue Laine, Global CTO, Quest Software
- Jane Norris, Moderator and Contributing Editor, FedInsider