The recent shift to cloud computing has become a major asset for government agencies, proven to be cost-effective, increase workflow flexibility and reduce strain on IT departments. However, as more data and operations move from data centers to the cloud, there are also inherent security risks. Now more than ever, agencies must deploy tools and technologies built to enable trustless architecture  o protect mission-critical assets.

In this episode of the Future of Federal Data Strategy podcast series, host Camille Tutti speaks with chief technology advisor for public sector cybersecurity at World Wide Technology, Paul Cunningham and Marisol Cruz Cain, director of information technology and cybersecurity at the Government Accountability Office to discuss security obstacles agencies face with cloud and how they can stand up the architecture needed to inject trustless security models into operations.

The Importance of Trustless Security Systems

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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Beatrice speaks with Betsy Ladyzhets and Miles W. Griffis of The Sick Times about what the Trump administration has done in its first few months to set back long covid research and to deepen what we’ve long called the sociological production of the end of the pandemic.

Transcript forthcoming.

Find The Sick Times here: https://thesicktimes.org/

Find our book Health Communism here: www.versobooks.com/books/4081-health-communism

Find Jules' new book, A Short History of Trans Misogyny, here: https://www.versobooks.com/products/3054-a-short-history-of-trans-misogyny

Find Tracy's book, Abolish Rent, here: www.haymarketbooks.org/books/2443-abolish-rent

Preorder Phil's new book, Counting Like a State, here: kansaspress.ku.edu/9780700639687/

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As always, support Death Panel at www.patreon.com/deathpanelpod

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Long Covid Under Trump w/ Sick Times (06/26/25)

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w/ Beatrice Adler-Bolton, Artie Vierkant, Phil Rocco and Jules Gill-Peterson. 

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New tracks tagged #Federal Data