Google Public Sector Customers: Data Foundation Eases AI Bottlenecks
Executive Summary
The bottleneck for agentic AI in government is the data underneath, not the ambition or budgets. At Google Public Sector Summit 2026, a group of data decision-makers said making progress in AI depends on unified data foundations, governance, leadership from the top, and a culture that will move forward without waiting for perfect data
A panel of U.S. federal department and agency leaders spoke at the summit about their data plans and setting up architecture that can be leveraged by AI agents.
The panel includedAmong the panelists were Dr. Neil Jacobs, undersecretary of commerce for Oceans and Atmosphere and administrator at the National Oceanic and Atmospheric Administration (NOAA); Adarryl Roberts, CIO of the Defense Logistics Agency (DLA); and Andrew Mapes, principal deputy chief digital and artificial intelligence officer for the Office of the Secretary of War Chief Digital & Artificial Intelligence Office (CDAO).
