Overview
June 26
11AM PT, 2PM ET
Register
AI pilots are common across state and local government. The real challenge now is moving from pilot AI to operational AI.
For many agencies, two obstacles stand in the way: digital sprawl and overexposed data.
Years of unchecked growth across collaboration platforms, cloud applications, and shared repositories have left agencies with sprawling information environments, limited visibility into sensitive data, and access permissions that are often broader than intended. As AI gains access to organizational knowledge, those issues become harder to ignore—and more costly to address.
Before AI can scale, agencies need confidence in their data. That means understanding what information they have, where it lives, who can access it, and what should be retained, secured, archived, or removed.
In this webinar, you’ll learn how to identify and eliminate redundant and obsolete data, reduce digital sprawl, establish effective governance policies, and build the visibility needed to support AI adoption with confidence.
What Attendees Will Learn
- Why digital sprawl and overexposed data are the biggest barriers to operational AI
- How to identify, reduce, and govern redundant, obsolete, and unmanaged data before it creates AI-related risk
- Practical strategies for improving visibility into sensitive data, access permissions, and information repositories
- Governance best practices that enable innovation while supporting security, compliance, and accountability
- How to assess your organization's data posture and build a roadmap from AI pilots to operational AI
Join the live webinar to obtain your complimentary certificate of attendance!