Fivetran's George Fraser told Jon Fortt that AI agents are becoming the primary consumers of enterprise data, and companies ...

Every major data platform now ships a USL for enterprise AI, but standards are unsettled and most only work inside their own walls. How should CIOs avoid picking a winner too early?

The AI race isn’t about models anymore — it’s about who controls the data context. To avoid massive vendor lock-in, you need to own your system's ontology.

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Runlayer, the platform helping companies become AI-native, today announced a $30 million Series A led by Felicis, with participation from Khosla Ventures. This brings Runlayer's total capital raised ...

Since my last Buy rating, SNOW has already broken out from the prior April 2026 rout with an outsized +64% stock price rally ...

Nasdaq consolidated enterprise and market data on Databricks to improve governance, speed product development and support AI ...

One of the latest initiatives focuses on enabling AI agents to interact more effectively with telecom data and operational ...

Ataccama, the data trust company, today announced a native integration with Databricks, the Data and AI company, to bring data quality, lineage, and governance signals from enterprise source systems, ...

At Data + AI Summit, Databricks CEO Ali Ghodsi unveiled LTAP, a new architecture that collapses the 40-year unification ...

Databricks Inc. is using its Data + AI Summit today in San Francisco to unveil a new data architecture designed to eliminate one of enterprise computing’s oldest bottlenecks: the separation between ...