John Roese. The global CTO at Dell Technologies highlighted the role of a data layer in federal AI adoption.

Dell’s John Roese on Data Layer’s Role in Federal AI Adoption

John Roese, global chief technology officer and chief artificial intelligence officer at Dell Technologies, said government agencies seeking to advance AI adoption should focus on building a data layer to support AI systems.

“AI is only as strong as the data feeding it, so agencies need to make sure their data is accurate and accessible,” Roese wrote in an article published on Carahsoft.com

How Can Agencies Build the Foundation for AI Adoption?

In the article, Roese said agencies can position themselves to maximize AI capabilities by establishing an AI knowledge layer and adopting hybrid architectures to support mission flexibility and workloads tied to agentic AI and physical AI systems while applying zero trust principles to secure AI environments.

Roese also noted that regulations affecting federal AI adoption differ from those governing enterprise organizations and could influence the pace of deployment for generative AI, autonomous agents and other emerging technologies.

“The key is to launch pilot projects quickly, learn what works and scale up so AI can be moved into production and produce a material impact on the agency and its mission,” he wrote.

How Does Dell Technologies Move AI Into Production at Scale?

According to Roese, Dell Technologies combines hybrid cloud, edge computing, 5G, data management and security technologies to support organizations moving AI initiatives from pilot projects into production environments.

Roese added that Dell works to help organizations scale generative AI efforts and accelerate AI-driven outcomes across mission operations.

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