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

AI-driven growth, earnings beat, rising guidance, and improved margins amid the software selloff. Read more macro analysis ...

SourceFuse partners with Databricks to help enterprises modernize data platforms, unlock AI & GenAI capabilities, ...

AI tools combine dashboards, natural language queries, and predictive modeling for faster insights based on real-time ...

Overview: Modern organizations rely on integrated data platforms to process massive datasets and generate real-time insights.Cloud-native platforms like Snowfla ...

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 ...

Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower cost than frontier models.

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 ...

Google Cloud has recently announced the preview of a global queries feature for BigQuery. The new option lets developers run ...

From the browser to the back end, the ‘boring’ choice is exciting again. We look at three trends converging to bring SQL back ...

CData Software, the data layer for AI, today announced major enhancements to CData Connect AI at the Gartner Data & Analytics Summit (Booth #308). The updates extend CData's managed Model Context ...