Federal agencies have spent the last decade building the data infrastructure needed to understand past performance. The next strategic advantage, however, will come from transforming enterprise data into predictive decision intelligence through Enterprise Digital Twins that allow leaders to simulate mission impacts before implementing major policy, operational, workforce, or technology decisions.
Without information readiness, modernization becomes a collection of disconnected technology projects. Learn what that kind of readiness involves and where it applies.
Using geolocation data, the Baltimore Police Department has transformed how it anticipates, responds to, and prevents crime — by providing integrated, spatial, timely data.
In this video interview, Jason Truppi, CTO and Co-founder of ForceMetrics, explains that the issue isn’t always adding technology to collect more data.
Risk management is often viewed as a compliance requirement rather than a strategic capability. However, as agencies face increasingly complex threats, emerging technologies, workforce challenges, and operational disruptions, executives must rethink how they identify, assess, and manage risk. This article examines how government leaders can transform risk management from a defensive exercise into a source… Read more »
In this video interview, Laserfiche’s Andy MacIsaac and Alex Wong discuss how agencies can use AI to increase productivity and generate actionable insights.
If leaders are what they read, most of us are running on a questionable information diet. The quality of our thinking reflects the quality of what we let in. This article offers a sharper way to choose your inputs.
In today’s AI-enabled environment, alignment alone is no longer enough to sustain consistent outcomes. Synchronization is the next phase.
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.
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.