Reducing data in transit and enhancing AI-assisted decision making
Reducing data in transit and enhancing AI-assisted decision making

Reducing data in transit and enhancing AI-assisted decision making

Maysaa Ali

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Federal agencies are starting to see significant advantages in reversing how they gather and analyze data to fuel their artificial intelligence efforts. Instead of pulling massive amounts of data into centralized data lakes for analysis, enterprises are staring to send analytics tools to the edge of their networks to parse localized data and then federate the results. The change in approach represents a paradigm shift in how organizations are capturing and analyzing data, says Al Ford, who oversees artificial intelligence alliances in the federal government market at Dell EMC. This podcast is sponsored by Dell Technologies. Guest: Al Ford, Artificial Intelligence Alliances for Federal Government, Dell EMC Host: Wyatt Kash, SVP, Content Strategy, Scoop News Group Look for more coverage of “IT Modernization in Government” on www.fedscoop.com/listen

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