Presented by VAST Data Federal & Carahsoft

Randy Hayes, Vice President of Public Sector at VAST Data Federal, explained that every successful AI initiative begins with data. Agencies seeking to scale AI must establish architectures capable of managing, securing, and delivering information wherever it is needed.

Hayes noted that government organizations often operate in highly fragmented data environments. AI success depends on the ability to bring together structured and unstructured data while creating context that makes information accessible and useful.

Hybrid architectures are becoming increasingly common. Agencies are combining cloud environments, on-premises infrastructure, and edge capabilities to balance flexibility, performance, and cost.

Security remains a critical consideration throughout the AI lifecycle. Organizations must maintain consistent security policies and protections across all stages of data ingestion, processing, storage, and inference.

Looking forward, Hayes sees edge inference becoming one of the most important trends in government AI. Delivering insights directly to operational users will require secure and efficient movement of data throughout the enterprise.

Key Takeaways

• Strong data foundations are essential for successful AI adoption.
• Hybrid environments are becoming the dominant deployment model.
• Edge-based AI capabilities will drive future innovation across government.