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.
Whenever a new technology is involved, there’s a learning curve — and there’s always new technology, Robert Imhof, Consulting Systems Architect at Fortinet Federal. “It’s going to be worth investing the time and effort to learn this technology,” says . “Security professionals that can master utilizing AI in addition to their other technical skills are… Read more »
Government is understandably excited about the potential for AI to elevate constituent services and enhance mission outcomes. But AI needs data — lots of data — to understand patterns and deliver intelligible guidance to federal workers. As agency leaders tackle these hurdles, they need to think about the desired outcomes and how AI can add… Read more »
The release of AI foundation models allows organizations to take advantage of broader community investments in AI. But there’s a catch: Agencies need to tweak and train these models to meet their specific objectives, maintain privacy and ensure regulatory compliance.
In Macomb County, Mich., public works is using drones and AI to inspect sewer lines. Learn how this technology is saving money and improving maintenance on vital infrastructure.
Agencies may struggle to bring AI to life. They may face challenges deciding where to house AI infrastructure and when creating guardrails for safe data usage, including bias removal and data authenticity. Best practices can help implement AI safely, securely and effectively.
You can’t have an AI strategy without a data strategy, says Matthew Rose of Snowflake. To be ready for AI, you need an ecosystem for data.