Many AI initiatives fail not because of poor technology but because organizations lack shared definitions, context and ...

A recent HBR article by Oguz Acar from King’s College London rejects the idea that Prompt Engineering is the hottest job of the future, declaring instead that problem formulation is a higher-order, ...

After helping build some of the world's most widely used open AI datasets at Hugging Face, Guilherme Penedo and Hynek ...

Databricks says new products LTAP and Lakehouse//RT unify transactional and analytical data for AI agents, delivering sub-100ms latency and no ETL pipelines.

Thomson Reuters Corp. is betting big on generative artificial intelligence, and it has the data foundation in place to do so. The global provider of professional information for the legal, accounting, ...

The US has a data center problem. Half of planned US data center builds are currently being delayed or outright canceled.

Economists on Thursday warned that a big drop in November inflation had more to do with data challenges caused by the government shutdown than with actual changes in the economy. Unfortunately, those ...

As enterprises move from pilots to production, an AI Data Platform approach keeps data ready, governed, protected, and close to the workloads that depend on it.

‘There’s a lot of hype around AI. But let’s face it, most companies haven’t really realized much of a return on their AI investments to date,’ said Qlik CEO Mike Capone. One thing’s for sure about AI: ...

Most executives assume AI projects fail because the models fall short. In practice, the model is rarely the root cause. It’s a massive red flag for executives spending billions on AI initiatives. If ...