As federal agencies work to manage a rapid influx of data, they are turning to automation technology like artificial intelligence and machine learning tools to help. However, due to limited budgets, already-strained IT teams and a negative perception, many agencies struggle to infuse AI into their data initiatives.  

In this episode of The Future of Federal Data Strategy podcast series, host Camille Tuutti sits down with Nathan Manzotti, director of data and analytics for the GSA’s Technology Transformation Services department and Bobby Rountree, who serves as the AI/ML leader at NetApp to delve into why automation technology is critical to the future of data management and how their organization is enabling next gen solutions like AI and ML to help agencies drive mission success. 

Listen to their conversation by clicking on the full podcast episode below. And be sure to download and subscribe on Apple Podcasts, Spotify or SoundCloud to take What AI and ML Mean for Data Management with you on your favorite device.

What AI and ML Mean for Data Management

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