Shanku Niyogi of Databricks walks through the architecture behind Lakebase, LTAP and Lakehouse//RT – and renames an industry workaround in a relatable way that acknowledges the pain points experienced ...

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

AI agent orchestration crosses a new threshold as Databricks open-sources Omnigent, a meta-harness that enforces stateful ...

The following table shows the best data analytics certifications, along with their respective cost and length. The table ...

Sigma Computing has raised $80 million in Series E funding at a $3 billion valuation, doubling its worth in a year. The round was led by Princeville Capital, with strategic investments from Databricks ...

In 2026, Azure Machine Learning has evolved from a sandbox for data scientists into a robust platform for operational forecasting, yet many teams still struggle to see what happens after deployment.

The days of the glorified artificial intelligence (AI) chatbot are over, with more enterprises starting to embrace the era of autonomous agents rummaging through corporate data. At the recent Google ...

Snowflake Inc. is expanding its push into enterprise artificial intelligence with a set of updates to its Snowflake Intelligence and Cortex Code offerings, positioning its platform as a centralized ...

For introducing its new AI-native product line that turns written descriptions and designs into working prototypes and apps Design platform Figma drew headlines for its successful July 2025 initial ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

The Berlin startup, founded by two ex-Snowflake engineers, wants to be the platform where AI-generated data pipelines go to actually work. The hard part of building with AI is no longer getting the ...

Most enterprise RAG pipelines are optimized for one search behavior. They fail silently on the others. A model trained to synthesize cross-document reports handles constraint-driven entity search ...