Insight of the Month

National Geospatial Intelligence Agency

NGA leans in on AI, machine learning to improve data analysis

The National Geospatial-Intelligence Agency is using AI is helping people do their jobs better and faster, and with even day-to-day things like supporting…

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(U.S. Air Force photo by Airman 1st Class Rhett Isbell)Nineteen C-130J aircraft take part in an elephant walk before takeoff during an exercise Mar. 15, 2018, at Little Rock Air Force Base, Ark. Numerous C-130J units from around the Air Force participated in a training event to enhance operational effectiveness and joint interoperability. (U.S. Air Force photo by Airman 1st Class Rhett Isbell)

How the Air Force manages risk in its supply chains

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COVID has flipped what government and companies expect from supply and demand, now they are preparing

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How the Army is bouncing its supply chain back from the COVID freeze

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No excuses left to avoid switching to GSA’s EIS contracts and adopting software-defined networks

A couple of factors have come together to enable federal agencies to modernize their networks in a major way.

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AI success means starting by asking, What is the problem?

Artificial intelligence is a powerful technology, but it’s not a magic salve you can apply to a process to make it better. If anything, AI – and the…

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How to best leverage your hybrid computing environment for efficiency and effectiveness in AI

Managing artificial and machine learning application projects is in large measure a matter of managing data connected to them. Not only curating data, but also storing it and moving it around consistent with optimal availability cost control. Therefore, it’s important for agencies to spend some effort designing the infrastructures for systems hosting AI development and training data.

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