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SAP’s Maria Barcarse breaks down why federal agencies must move beyond external AI tools and embrace embedded AI to turn siloed data into real-time, predictive mission outcomes.

As AI systems gain wider adoption across government, agencies need to understand the cost advantages of deploying the right AI models and the right hardware.

Building trust in agentic AI starts with better visibility into performance, behavior, security and cost.

A new report argues that moving from fragmented data silos to a unified, as-a-service data platform is critical to scaling AI, reducing IT costs and securing government missions.

IT leaders from the Commerce Department, Verizon, and Cisco urge agencies to reassess their network infrastructure to avoid AI computing breakdowns.