More Manageable Transportation With Agencywide Rideshare

In this video interview, Nick Brown with Uber discusses the public sector’s status-quo approach to providing transportation services and the benefits of a modern alternative.

Why Public Information Officers Are Confronting a New Problem: AI Attribution

As AI increasingly becomes an intermediary between government organizations and the public, the structure of information begins to matter as much as the content itself. It is not a shift in messaging — it is a shift in how data is read.

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.

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.