Remove product state-and-local-government
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The complex patchwork of US AI regulation has already arrived

CIO Business Intelligence

The 118th session of Congress, covering 2023 and 2024, may end up as the least productive session in US history, with only 47 bills passed and becoming law between the beginning of 2023 and April 1 of this year. However, Congress, mired in partisan infighting, seems unlikely to move forward on serious AI legislation anytime soon.

Risk 131
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An intro to innovation in the U.S. government

CIO Business Intelligence

Customer experience in the government sector is the sum of the public’s interactions with any government service, from how we contact our state’s social services and emergency services to waste management, public transportation, and healthcare. Why should governments and the public sector innovate?

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Reshoring: The risks of swinging the pendulum too far

IBM Big Data Hub

A deglobalized supply chain relies on manufacturing, labor and industries that are either local to the business or in a neighboring state or country. With a local supply chain, organizations have better control and shorter lead times. But this economic growth, coupled with stringent labor laws, drove up labor costs.

Risk 84
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Optimizing the Value of AI Solutions for the Public Sector

Cloudera

Earlier this month, I had the opportunity to lead a roundtable discussion at the PSN Government Innovation show ( 2023 Government Innovation Show – Federal – Public Sector Network ) in Washington, DC. I’ll highlight some key insights and takeaways from my conversations in the paragraphs that follow. The underlying reason?

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Five Ways AI Can Help States Solve Their Hardest Problems (Part 5): Putting AI into Action with MLOps

DataRobot

Many organizations, including state and local governments, are dipping their toes into machine learning (ML) and artificial intelligence (AI). As we’ve discussed in this blog series, some are already reaping the rewards of AI through increased productivity, cost savings, etc. What is MLOps? Issues with Deployment.

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Key Strategies and Senior Executives’ Perspectives on AI Adoption in 2020

Rocket-Powered Data Science

Some market estimates anticipate that AI will contribute 16 trillion dollars to the global GDP (gross domestic product) by 2030. senior executives across eight industries: agriculture, banking, exhibitions, government, healthcare, insurance, legal, and science/medical. But it was not just a snapshot on the state of AI in 2020.

Strategy 198
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What can AI and generative AI do for governments?

IBM Big Data Hub

AI—generative AI, in particular—has tremendous potential to transform society as we know it for good, boost productivity and unlock trillions in economic value in the coming years. AI’s value is not limited to advances in industry and consumer products alone. In our view, there are three main areas.