Data lakehouses now a backbone for enterprise analytics and AI

The need for a central data repository for enterprise analytics and gen AI has made the data lakehouse the default choice for enterprise data. Meanwhile, the emergence of open table standards makes the shift easier and reduces vendor lock-in for enterprises while also allowing for better integration between lakehouses and other enterprise systems and service providers.

Data lakehouses combine…

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The Governance Gap Threatening Long-Term Ecological Archives

This stream monitoring weir at Hubbard Brook Experimental Forest in New Hampshire measures and regulates streamflow for consistent data collection. It turns a natural system into a repeatable measurement record, a record that may be lost if a successor stewardship plan is not required ahead of any reduction in the facility’s output or outreach. Credit: Anthony Veltri

7 signs your data isn’t ready for AI

AI is useless without access to abundant and accurate data. Unfortunately, many enterprises are saddled with data that’s stored in a way that’s unusable for AI applications.

AI data incompatibility is widespread, even among organizations actively investing in AI, says Daren Campbell, tax technology and transformation leader at business advisory firm EY Americas.

“Adoption of generative and…

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The Observability Bill is Coming Due – and AI Wrote Most of It

Observability has always had a data quality problem. AI coding agents just made it catastrophically worse. Shimmy sits down with the co-founders of Sawmills to dig into why unmanaged telemetry is the unglamorous DevOps crisis that is quietly killing budgets — and what an agentic telemetry management platform actually does about it.

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