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.

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

Silicon Valley, CA, March 05, 2026 (GLOBE NEWSWIRE) -- Resilinc, the leading provider of agentic AI-driven supply chain risk and compliance intelligence, today announced it has architected its ...

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 ...

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 ...

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 ...

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 ...

The leading cause of AI project failure is data preparation bottlenecks created by disconnected tools. Today, Tray.ai, the leader in enterprise orchestration ...

Databricks Inc. today announced that it has raised more than $7 billion in equity and debt financing to accelerate its growth efforts. The company first disclosed the investment late last year when it ...

Databricks said it raised $5 billion in funding and $2 billion in new debt capacity at a $134 billion valuation. The company also said its annualized revenue exceeded $5.4 billion for the January ...