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Todd Myers, automation lead, CIO-T at NGA, outlines the agency’s current goals for machine learning, and how it will help manage the large quantities of data that flow into their systems.

The National Geospatial-Intelligence agency is one of the biggest generators of data in the military. With a constantly growing satellite imagery library, the agency wants to use AI to comb through their intelligence data. Todd Myers, automation lead, CIO-T at NGA, says that right now they’re focusing on building better algorithms.


“Our mission is basically dictating the thrust of focusing on machine learning to keep up with the data coming in. Right now, from a maturity scale, we are focusing 100% on advancing our machine learning algorithms, so that we can learn from that and then start to influence how we would approach artificial intelligence in the future,” Myers said. “That is a beginning step for a lot of agencies right now, but our focus is really advanced machine learning through heavy automation to enable what used to take many, many weeks to process data is now in the hours and minutes.”

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