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By: Daniel Carroll, Field CTO, Dell Federal AI depends on data that is visible, governed, and usable. For federal agencies, data control is the foundation for scaling AI securely and responsibly. Key takeaways AI-ready infrastructure starts with governed mission data: where it lives, how it is classified, who can access it, and which workloads can […]

By: Paul Perez, SVP & Senior Technology Fellow, Office of the CTO & Dell Federal Always-on agents change the economics of AI. Federal agencies need workload placement strategies that account for token demand, inference costs, data control, and mission requirements. Key takeaways Agentic AI can deliver major productivity gains, but persistent agents can consume far more […]

CISA

Elastic’s Dave Erickson explores how agencies can deploy AI agents across high-volume workflows without losing sight of accountability, explainability, and the human decisions that drive mission outcomes. […]

AI is moving from pilot project to procurement problem. The Army is already facing a protest over a $450 million contract award that allegedly relied on AI in the acquisition process. Translation: AI may be helping agencies buy technology — and soon it may be helping lawyers protest those purchases. Meanwhile, NIST wants to put […]

cybersecurity
Rep. Ro Khanna, D-Calif.
Defense Information Systems Agency, DISA
IT workers workforce technology federal employees-min

By: Elise Hauser, Senior Product Marketing Manager, Public Sector at Pluralsight Among federal agencies, AI budgets are exploding and cyber modernization is a top-line priority across civilian and defense missions alike. But innovation and readiness are two different things, and right now, there’s a gap between them. Agencies can buy tools, but they can’t scale […]

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