Beneath that convenience sits a rigorous ethics stack. Differential privacy guards low-cardinality segments; synthetic data ...

Fabric’s data agents are designed to be built and tested outside the Azure AI Foundry ... This can be a lake house, a data warehouse, a set of Power BI semantic models, or a KQL database.

IBM appears to be treading in the middle of the road and new investors could be better off if they trade with caution.

Complementing IBM Copilot Runway and IBM Consulting Azure OpenAI Services ... the watsonx.data fit-for-purpose data store built on an open lake house architecture and the watsonx.governance ...

And the amount of data in our multi-cloud data lake, OneLake ... re making that the surprise factor was on the non-Azure, non-AI side of the house, and it sounds like there's confidence in ...