Agencies use an array of technologies to protect their facilities and campuses, including cameras, access control systems, and notification and dispatch systems. In theory, those systems enable security staff to conduct continuous surveillance and to detect and respond quickly to potential risks. The problem is one of scale: Agencies can have hundreds or even thousandsRead… Read more »
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.
Agencies are confronting an AI risk gap between technological capability and institutional decision readiness. Closing the gap enables responsible innovation.
Approaching AI with governance as the starting point, not an afterthought, will reduce risk, increase transparency and improve service delivery.
Social media platforms are increasingly being treated as authoritative inputs by artificial intelligence systems. But they were never designed for that role.
State and local governments encounter unique challenges when implementing AI technology. Practical, mission-related workforce development efforts can have an outsized impact in addressing these obstacles.
Critical decisions require analyzing massive volumes of data and strict compliance requirements. Agencies need help to speed up the process.
Government leaders see AI-based agents as powerful collaborators that can work alongside humans to improve efficiency and advance missions. However, agentic AI introduces new security and identity challenges at scale that traditional identity and access management solutions, built primarily for human users, are not designed to address or govern. Identity and access management solutions canRead… Read more »
Physical AI is moving from concept to reality, which means leaders will soon face innovations that feel uncomfortably close to home.
In this video interview, Mike Gilger with Modus Operandi discusses how agencies can improve their AI outcomes with more reliable, contextual data.