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Businesses worry about inaccurate AI outputs. Explainable AI aims to address this by making AI systems transparent, building trust, and ensuring fair and accurate AI decisions.

Facing a challenging landscape, retailers are turning to AI to understand customers, manage inventory, and optimize supply chains. AI is poised to transform retail experiences and decision-making.

2023 was a breakout year for AI, with generative AI leading the charge. Experts predict that 2024 will see AI enhance automation, improve decision-making, and address global challenges.

Fears of AI replacing human jobs may be misplaced. AI can boost productivity by assisting humans and creating a powerful collaboration. This article explores how AI can augment human intelligence and the benefits businesses can expect.

Generative AI, with its potential to revolutionize fields from science to art, is facing a legal hurdle. Lawsuits claim AI developers are infringing copyrights by using massive datasets in training. This article explores the potential impact of these lawsuits on the future of generative AI.

Training data scraped from the web may have been OK for the first wave of large language models, but as competition increases, more and better data will be needed.

The brilliant mathematician Avi Wigderson, the Herbert H. Maass Professor in the School of Mathematics at the Institute for Advanced Study, Princeton, was recently and deservedly presented with the Turing Award.

Artificial intelligence is rapidly evolving from general-purpose models to specialized ones that require domain-specific data. As featured in a recent Fast Company article, Enterra Solutions is at the forefront of this shift, focusing on acquiring specialized data in areas like healthcare and finance. The company provides services to help clients identify, acquire, and leverage this data to enhance their AI capabilities, positioning themselves as a key player in the future of AI development.