Earlier this year, the Department of Energy (DOE), alongside the National Institute of Standards and Technology (NIST), released an interactive playbook detailing risk mitigation strategies for artificial intelligence. Aptly titled the AI Risk Management Playbook (AIRMP), this asset contains hundreds of examples and strategies for public sector organizations. 

On the final episode of “Security Stories: A Look Inside How Federal Agencies Ensure Mission Security," a podcast sponsored by NetApp and TD SYNNEX, our host Troy Schneider, president of GovExec 360, is joined by special guest Bobby Rountree, AI/ML leader for NetApp Public Sector to discuss what government organizations need to know as AI grows in importance, and how can they incorporate the strategies found in the AIRMP to support ethical, scalable AI.

Inside the Department of Energy’s AI Risk Management Playbook

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

As cloud computing increases and more federal data becomes available on-demand, many agencies are turning to the Internet of Things (IoT), in which they can instantly connect and exchange data via a network of interrelated physical devices with sensors, software and other technologies. IoT has allowed for military operations to take advantage of edge computing, environmental agencies to monitor the nation’s carbon output, healthcare professionals achieve regulatory compliance and much more. 

Although bringing critical federal missions onto the internet brings increased opportunity for innovation, storing critical information in this environment also invites a multitude of security risks. In this episode of The Future of Federal Data Strategy, host Camille Tuttii sits down with Jason Craig, chief technology adviser for WWT to discuss the current state of IoT in the federal sector, and how agencies can benefit from it while addressing its largest security concerns.

How IoT is Driving Federal Data Evolution

New technologies are causing the physical and digital worlds to converge, creating an increasingly interconnected world where government decision-makers can deliver on their missions at speed and scale.

In this episode, hosts Michael Thieme, Managing Director for the National Security Portfolio at Accenture Federal Services and George Jackson, Vice President of Events at GovExec, are joined by esteemed guest, Jill Marlowe, Digital Transformation Officer for the National Aeronautics and Space Administration (NASA) to discuss the intersection of emerging technology and federal research.

What the Science-Technology Feedback Loop Means for Federal R&D

Nine strategies lie at the heart of the Office of Science and Technology Policy's (OSTP) 2023 National Artificial Intelligence Research and Development Strategic Plan. 

In this episode, we'll focus on those nine strategies and how building generalist models can help the federal government achieve its goal of building models that promote and support American values.

AI as a Generalist, Not a Specialist

On this special bonus episode of "The Federal Innovator Podcast," host Troy Schneider, President of GovExec 360, sits down with government leaders and industry experts to discuss how generative AI impacts the federal government. 

In this episode, Troy is joined by Dr. Lynne Graves, Chief of the U.S. Air Force's Artificial Intelligence Division; Pritha Mehra, Chief Information Officer and Executive Vice President for the U.S. Postal Service and Dr. Viveca Pavon-Harr, Director of Applied Intelligence Discovery Lab at Accenture Federal Services. Tune in to learn more about how you can leverage generative AI to create value for your agency!

Generative AI in Action!

With the amount of data in our world increasing, federal leaders are investing time and effort into building architectures designed to deliver better services. As new frameworks begin to emerge, how will these data architectures address the age-old challenge of data silos? 

In this episode of The Federal Innovator Podcast, host, George Jackson, vice president of events at GovExec, is joined by Dave Mooney, services management section chief, cybersecurity division, Cybersecurity and Infrastructure Security Agency (CISA), and Dr. Jennifer Sample, managing director at Accenture Federal Services, to discuss how contemporary data frameworks are changing the way government agencies operate.

How New Data Architectures Increase Transparency and Mission Impact

In this episode of The Federal Innovator Podcast, hosts George Jackson, vice president of events at GovExec, and Dr. Jennifer Sample, managing director at Accenture Federal Services, are joined by Amer Helmy, federal identity, credential, and access management manager at the U.S. Department of Labor, and Rayan Farooq, identity and access management lead at Accenture Federal Services, to discuss how emerging technologies are helping the federal government advance digital identity services. 

Check out what they have to say by listening to the full episode!

Logging into the Future of Identity

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Logging into the Future of Identity

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