Even as we emerge from generative AI’s tire-kicking phase, it’s still true that many (most?) enterprise artificial intelligence and machine learning projects will derail before delivering real value.

When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...

Somewhere in your organization, an AI project is dying. Perhaps it's the recommendation engine that was supposed to boost sales by 30%. Maybe it's the predictive maintenance system that promised to ...

Overview: AI hackathon ideas based on daily experiences improve understanding and relevance.Simple tools can support learning ...

In 2024, Geoffrey Hinton was awarded a Nobel Prize in Physics for his work with machine learning. Here's what the "Godfather ...

Aitchison College study finds 92% of teachers say AI improved lesson adaptability, highlighting ethical AI use and ...

The way music is created, shared, and experienced continues to evolve rapidly, and artificial intelligence is a major driver ...

Top AI graduate programs at schools like Carnegie Mellon and Stanford are feeding a field where salaries average over $150,000—with job growth outpacing the broader market.

Executives have poured billions into artificial intelligence, only to discover that most of those projects never make it past the pilot stage or fail to deliver meaningful returns. A recent wave of ...