AI can help government agencies turn data into better services, but getting there takes more than simply making data available.
In this week’s episode of Feds at the Edge, we take a look at how agencies can uncover data buried in legacy systems, manage the cost of that discovery, and how to prevent AI from exposing sensitive data along the way.
Rudolph Rojas of the USDA discusses the challenge of tracking down reporting applications created across an organization of more than 70,000 employees. Finding the data is one thing, but using AI to process it can introduce new risks, including potential data leaks.
Tony Batalla of Oakland, California, takes a practical look at the next challenge: even when agencies can collect their data, can they afford to manage and use all of it? With limited resources, organizations need to focus on the information that can deliver the greatest value.
And Alejandro Losa of Broadcom looks at how federal guidance, including OMB M-25-21 and the NIST Risk Management Framework, can help agencies establish accountability, assess impact, and maintain oversight as they adopt AI.
Tune in on your favorite podcasting platform to hear how government organizations can make smarter use of their data while balancing cost, security, and responsible AI adoption.
To view this webinar: Breaking the Silos: Building a Secure Foundation for Government AI.
Featured Speakers:
