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

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

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

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 ...

Confluent's latest Confluent Intelligence features include support for both Anthropic's Model Context Protocol (MCP) and the Agent2Agent (A2A) protocol within Streaming Agents, plus a new multivariate ...

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 ...

Resilinc, the leading provider of agentic AI-driven supply chain risk and compliance intelligence, today announced it has architected its platform on the Databricks Platform to power large-scale, ...

It handles the millions of daily tasks—translation, tagging, and moderation—that require consistent, repeatable results ...

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 ...

Resilinc, the leading provider of agentic AI-driven supply chain risk and compliance intelligence, today announced it has architected its platform on ...