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

Building an open-source data lakehouse costs $520K/year in engineering time, before licenses and infra. The real all-in cost ...

CData Software this week announced enhancements to CData Connect AI that bring new capabilities to CData’s managed Model ...

Excel table formulas shift from cell positions to named columns with #All-style tags, keeping calculations readable when layouts change.

Providers know that this is one of their most persistent challenges. Artificial intelligence and cloud computing may offer needed relief.

Anthropic introduces a new AI job disruption tracker to measure how automation from large language models could affect occupations and workforce trends over time.

Morgan Stanley Technology, Media & Telecom Conference 2026 March 3, 2026 7:05 PM ESTCompany ParticipantsSridhar Ramaswamy - ...

First of four parts Before we can understand how attackers exploit large language models, we need to understand how these models work. This first article in our four-part series on prompt injections ...

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

Neo4j Aura Agent is an end-to-end platform for creating agents, connecting them to knowledge graphs, and deploying to ...