In state and local governments, much of the operational technology (OT) that monitors and controls critical infrastructure is based on legacy technology. That presents a major cybersecurity challenge. See how to upgrade — simply.
No state or local entity should assume that it’s too small or innocuous to undergo a cyberattack. Here’s how North Dakota prepares.
At the state and local level, adopting AI remains only one of a long list of IT priorities. Read how Burlington, VT is approaching it.
In state and local government, where the ability to deliver high-quality programs hinges on the close collaboration of teams across an organization.
The biggest AI mistake that state and local governments make is focusing solely on its hazards, according to AI expert Alan R. Shark. He recommends an atmosphere of curiosity instead. “Let’s see what we can do.”
In Columbia, South Carolina, garbage trucks could become the eyes of the city’s Public Works Administration. Using a beautification grant, the city is testing a program that would outfit trash trucks with cameras that gather footage for an AI system called City Detect to analyze for code violations — a potential boon to code enforcers.
State and local entities may struggle to secure the operational technology that supports their critical infrastructure. That makes network visibility, and fostering an organization-wide commitment to digitization, important.
When public sector leaders use GenAI as a thought partner, they are able to examine their own biases and assumptions, and gain valuable insights on alternative views that can strengthen their work and decision making.
Moving to the cloud can help state and local agencies meet their missions, but many lack the resources to make the jump. Here are some tips for managing the challenge.
When AI implementation focuses on users, it promotes trust and facilitates better agency services. Here’s how Vermont makes it happen.