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

Artificial intelligence and high-performance computing are evolving together, turning what was once impossible into reality. In the second episode of HPod, Matt Barry, chief operating officer at HP Federal, shares how government agencies can harness the power of these two swiftly advancing technologies while protecting and reinforcing government systems, data and supply chains.

HPod Episode 2: AI, HPC and the digital supply chain

April 30 marked the 100th day of President Trump’s second term — a key milestone for gauging an administration’s early success. This period offers a first look at the President’s policy priorities and sets the tone for the next four years across the federal landscape.

So, what’s changed — and what’s coming next in this new era of government?

GovExecTV and top political experts break down the most significant policy shifts, workforce changes, and agency shake-ups since President Trump’s return to the White House. From hiring freezes to structural overhauls, we’ll explore what these early moves signal — and what federal leaders should be watching now to stay ahead.

100 Days In: How Trump is Reshaping Government

HPod hits the road, coming to you from AFCEA's TechNet Cyber event in Baltimore, Md., this time featuring three experts from HP Federal: Justin Hancock and Jeff Smith, both in advanced compute solutions, and Kristin Hempstead, advanced compute solutions strategy manager. They explore a complex balancing act — how federal agencies can securely harness AI and edge computing to meet the mission without exposing their operations or their infrastructures to new supply chain risks.

HPod Episode 3: Securing AI at the edge

AI has the potential to transform the way citizens interact with the government and the way agencies deliver services to citizens.  In previous episodes in this series we have heard from a number of Executive Branch leaders on the promises and potential risks of AI and how it's starting to transform government -- internal processes, service delivery, cybersecurity, and so on. The General Services Administration (GSA) will be in the forefront of this transformation as both a lighthouse account in the application of AI and also as the lead arm for government to acquire AI technologies. Today we will be joined by Larry Allen, a seasoned veteran in the world of government procurement and contracting, who was recently appointed Associate Administrator for Governmentwide Policy and Chief Acquisition Officer at the General Services Administration.

AI and Acquisition


Artificial Intelligence is revolutionizing how citizens interact with government agencies and access services. Leaders like Chief AI Officers (CAIOs), CX/EX Officers, and Chief Transformation Officers are driving impactful projects at the IRS, Social Security Administration, Department of Veterans Affairs, and beyond. Join CX pioneer Martha Dorris as she co-moderates this session, highlighting early successes and compelling case studies in AI-driven service delivery.

AI and Citizen Services

Federal agencies are accelerating cloud adoption, but increasingly sophisticated cyber threats and regulatory mandates require a stronger approach to security. This episode explores how agencies can enhance visibility, improve risk prioritization and strengthen zero trust strategies. Experts discuss multi-cloud security challenges, compliance with federal mandates like FedRAMP and EO 14028, and the role of automation in incident response and vulnerability management.

Securing the cloud: Zero trust and beyond

As agencies continue their digital transformation, cloud adoption is essential for mission agility, security and efficiency. This episode dives into how agencies are tackling cloud migration, operational continuity and regulatory compliance while ensuring their systems remain resilient and cost-effective. 

ThunderCat Technology's Cloud CTO Nic Perez, Deon James, AI Lead at Google Public Sector and Jeff Marshall, Director of Hosting and Compute at DISA discuss best practices for securing workloads, leveraging AI/ML for performance optimization and navigating federal procurement challenges.

The future of federal cloud modernization

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