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AI Tipping Point Ep. 2: The Power and Problems of Data
Experts from the NSA and NetApp lay out how agencies can ensure foundational data is clean and robust before they tap that data to pursue AI.
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There’s no doubt that data today is a valuable resource: It fuels a new age of information and a new suite of tools, including artificial intelligence and machine learning, which are sharpening decision-making for government leaders and automating monotonous tasks for government workers, among other benefits. But data comes with a dark side: Mountains of data need storage, sorting and cleaning; incomplete data can leave algorithms biased or unhelpful and a new wave of data privacy laws bring with them questions and requirements around data use and anonymization.
On this episode of AI Tipping Point — a podcast series from Government Executive in collaboration with NVIDIA, World Wide Technology and NetApp that aims to answer the question: “If 2019 was the ‘tipping point’ for AI, then what’s ahead?” — host Constance Sayers, President of Government Executive Media Group, discusses the double-edged sword of data with Greg Smithberger, director of the Capabilities Directorate and CIO for the National Security Agency, and Kirk Kern, Chief Technology Officer at NetApp.
Check out what they have to say by listening to the full episode below. Or download and subscribe on Apple Podcasts, Spotify, SoundCloud or Google Play to take AI Tipping Point with you on your favorite device.
This content was produced by Government Executive Media Group’s Studio 2G and made possible by our sponsor(s). The editorial staff of GovExec was not involved in its preparation.
NEXT STORY: AI Tipping Point Ep. 1: Embedding AI