Agencies are accelerating their AI adoption, but many face a common challenge: The data they need exists, yet it's locked away in isolated systems and difficult-to-access silos. These barriers don’t just slow AI efforts — they limit data-driven decision-making and stall broader modernization across the enterprise.

In the first installment of our two-part data guide series, we explore practical, proven approaches to make data more accessible, govern it effectively, and prepare it to support AI — without compromising security or privacy.

What you’ll find inside: