Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Alteryx is pushing analytics into the data lakehouse rather than pulling data out. Chief Product Officer Ben Canning explains why governance and business user access remain the real barriers to ...

Working with a certified implementation partner is a risk mitigation strategy that ensures the Lakehouse is not only deployed but also optimized for scalability, security, and cost efficiency from day ...

The evolution of data architecture is accelerating. In 2025, 85% of DBTA subscribers reported plans to modernize their data platforms-driven largely by the explosive rise of GenAI and large language ...

Databricks, Snowflake, Amazon Redshift, Google BigQuery, and Microsoft Fabric – to see how they address rapidly evolving ...

Research reveals that LeapLogic delivers significantly higher conversion accuracy, faster transformation and time ...

New capability unifies in-flight data preparation with AI agent development, cutting AI development timeSAN FRANCISCO, Feb. 24, 2026 (GLOBE NEWSWIRE) -- The leading cause of AI project failure is data ...

Prophecy v4 brings an agent-driven, human-in-the-loop workflow to data prep & analysis. Users describe business intent, agents generate workflows as code, validate results by compiling and running ...

Databricks is having one of those years that most enterprise software companies would quietly envy. The data and AI platform says it has reached a $5.4bn annual revenue run rate, growing 65% year over ...

The deal positions Snowflake to compete with Databricks in AI while giving OpenAI enterprise distribution beyond Microsoft’s ecosystem.

Five years ago, Databricks coined the term 'data lakehouse' to describe a new type of data architecture that combines a data lake with a data warehouse. That term and data architecture are now ...