Douglas County, Nebraska, used artificial intelligence (AI) and geographic information systems (GIS) to save time and money in its inventory of ADA curb ramps.
Governments need AI foundation models that are fine tuned to their specific requirements — for relevancy, accuracy, and effectiveness in their specific use cases.
Mismanaged data can lead to poor decision-making, loss of trust, increased risk and other fallout, and artificial intelligence has made data use more complicated. Fast, secure, energy-efficient data storage, however, helps agencies manage what they have.
Artificial intelligence (AI), unlike other forms of automation, can learn and generate ideas that elude humans. But what does AI “learning” actually mean? Here are the basics.
Constituents have increasingly high expectations, and government agencies are pressed to do more with limited resources. Digital tools, such as artificial intelligence, can transform how government meets public needs and supports agency staff.
The more you learn about artificial intelligence (AI), the more confused you might be. Here are some helpful definitions of the most popular forms of AI to help you make sense of it all.
AI technology has fascinating prospects for society, but there also exists a spectrum of potential negative and unconventional outcomes, including AI-driven phishing attacks.
With advanced networking technologies, such as artificial intelligence and machine learning, agencies can monitor their service areas in real-time and identify areas that need improvement.
Although recent reports make AI sound like something new and untested, government (and industry) have been using some practical forms of AI for years. Here’s a rundown.
Artificial intelligence and machine learning are creating an opportunity for government to make services much more available and improve user experience. But they need to be adopted mindfully.