How to Use Data, Training to Maximize AI

Artificial intelligence (AI) is dominating discussions, especially as its use in the private sector becomes more popular. But in the public sector, challenges with data sourcing, sharing, training and determining the best ways to use the technology persist.

As a result, government agencies continue to tread cautiously while still establishing use cases.

This quick resource highlights takeaways from a recent discussion about overcoming AI struggles with the following experts:

Harry Dreany, Intelligent Automation Division (H60), Naval Surface Warfare Center Dahlgren Division
Rebecca McWhite, Technical Lead, Cybersecurity Supply Chain Risk Management, Computer Security Division, Information Technology Laboratory, National Institute of Standards and Technology (NIST)
Jim Tunnessen, Chief Information Officer and Chief AI Officer, National Endowment for the Arts
James Valverde Jr., Director and Chief Analytics Officer, Data & Analytics Division, Office of Naval Research
David Yu, Chief Architect of Data and AI, Federal Defense Department (DoD), Civilian, Intel Customer Success Unit, Microsoft

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