AI in Government Starts With Trust in Data, but Is Built With People
AI is embedded in government operations, and agencies need a proactive approach to data governance in order to mitigate risk — and foster trust.
Analytics
Privacy in the Enterprise-AI Age: Strategic Implications Across Government and Key Infrastructure
As government organizations make greater use of AI, their privacy risks are expanding beyond traditional data protection. Critical infrastructure sectors must address new challenges related to data aggregation and accountability for AI-assisted decisions, among other concerns. To navigate this landscape successfully, organizations must enforce strong privacy protections to sustain innovation while maintaining public trust.
AI Data Centers: An Additional Consideration
RDMA is a fascinating approach to “sharing memory” without having to burden a CPU. Learn why, and why AI data centers and cloud vendors use it.
An AI-Powered, Self-Driving Model for Network Management
In this video interview, Ben Caruso with HPE Networking explains how self-driving networks can transform how state and local agencies typically manage their systems.
AI Can Create Convincing Illusions. Governance Protects Public Trust.
AI offers enormous potential to help agencies and institutions work more effectively. But those benefits only materialize when AI is used within a framework of strong data governance.
Big Data: Remember Me?
Given the amount of data that we now generate, the term “Big Data” seems to be an insufficient description, especially since AI needs so much of it.
Improving Decision Velocity With AI-Native Platforms
Critical decisions require analyzing massive volumes of data and strict compliance requirements. Agencies need help to speed up the process.
Using Data to Improve Outcomes
Agencies are using data to improve outcomes. Learn how St. Petersburg, Florida’s police department used data mapping to help fight crime.
Put Data in Context, not Containers: How to Make AI Outcomes More Effective
In this video interview, Mike Gilger with Modus Operandi discusses how agencies can improve their AI outcomes with more reliable, contextual data.
Recovery Speed Wins the Next Cyber Conflict in 2026
Malicious actors are targeting software supply chains, insider access and legacy dependencies to compromise the security of large-scale agency systems. Prevention efforts are not enough, however. To protect national security and preserve trust, agencies need resilience and a recovery-by-design approach.