Driven by the artificial intelligence frenzy, Microsoft is internally projecting that water use at its data centers will more than double by 2030 from 2020, including in places that face shortages.

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...

Economists polled by Reuters had expected the inflation rate to cool to 2%, in line with the European Central Bank's (ECB) target. The euro and Stoxx 600 were unchanged on Wednesday following the data ...

FRANKFURT, Nov 6 (Reuters) - Euro zone retail sales unexpectedly fell in September, challenging expectations for a consumption-led recovery and offsetting other mildly positive news from the 20-nation ...

LinkedIn Is Using More User Data Than Ever to Train Its AI. Here's How to Opt Out As of Nov. 3, LinkedIn is now using data from members in the EU, EEA, Switzerland, Canada, and Hong Kong to train its ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in minutes using ...

As AI becomes more common and decisions more data-driven, a new(ish) form of information is on the rise: synthetic data. And some proponents say it promises more privacy and other vital benefits. Data ...

This is read by an automated voice. Please report any issues or inconsistencies here. Gov. Gavin Newsom vetoed a bill that would have tracked data centers’ growing water footprint in California. He ...

Official support for free-threaded Python, and free-threaded improvements Python’s free-threaded build promises true parallelism for threads in Python programs by removing the Global Interpreter Lock ...