Analytics

It Takes a Village: Why Government AI Attribution Cannot Be Solved Alone

A complex IT ecosystem helps ensure that AI models correctly interpret government communications and pass along accurate info about updates, alerts and other public matters. Part of that ecosystem is technology that can attribute what data the AI pulls from what source, and when.

How AI Is Quietly Reshaping Government Teams and What Leaders Are Getting Wrong

AI is being treated like a tool instead of what it actually is: a capability that should be embedded into how work gets done. The organizations seeing real results aren’t the ones experimenting the most. They’re the ones aligning AI to mission outcomes, operational workflows, and decision-making.

When “Full Coverage” Isn’t Full: Why Rancho Mirage Is Mapping Wireless Gaps

Rancho Mirage uses GIS to uncover wireless coverage gaps. The city’s maps of cellular performance helped residents understand service quality, guide infrastructure planning, and accelerate collaboration with wireless carriers to expand reliable connectivity across a fast-growing desert resort community.

Failing to Use Modern Technology Makes Data Access Harder

Legacy technology wasn’t designed for the volume and variety of data that agencies handle today, and AI exacerbates the problem. Certain tactics, however, will help agencies leave their outdated tech behind — so employees can access data when and how they should.

Standardizing Data Collection for Enhanced Security, Efficiency and Compliance

Government agencies collect large volumes of sensitive data, but they often rely on outdated and fragmented systems to manage it. Adding modern apps on top of paper-based processes and legacy platforms without a unified strategy can create more problems than it solves. The result is a high administrative burden for staff and slow, frustrating experiencesRead… Read more »