AI’s promise in advertising is clear. But with a high failure rate, agencies must move beyond experimentation to strategic ...

AI projects are breaking down at two critical junctures. Get either of these wrong, and even brilliant execution in between ...

Most AI projects fail because companies automate noise instead of value. The five percent that succeed treat AI as disciplined automation, not magic.

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.

Four out of five readers of The Information say they use new AI tools daily, mostly as a search and information tool, ...

For years, industries treated AI like small tests with limited results. That era is over. Today, banking, healthcare, retail, and manufacturing are moving from pilots to large-scale adoption that ...

With founding contributions from Anthropic, Block, and OpenAI, the AAIF unites cutting-edge technology and open source governance to shape the future of open and accessible AISAN FRANCISCO, Dec. 9, ...

Is this a signal that the industry has decided interoperability matters more than proprietary advantage at the infrastructure ...