Databricks, the Data and AI company, today launched Genie Code, an autonomous AI agent that fundamentally changes how data work gets ...
Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.
Databricks CEO and co-founder Ali Ghodsi believes that the gap represents the next frontier for AI automation. In his view, the next generation of AI agents won’t just write software, but operate the ...
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 ...
Databricks launched Lakebase today, a new database designed for enterprises and developers to build data applications and artificial intelligence agents on a single multi-cloud platform. Lakebase is ...
Quality and cost are the main barriers keeping most agentic experiments from reaching production. Without high-quality evaluation, most teams are left to judge agents by gut checks, leading to ...
Businesses need AI agents that can analyze and act on their enterprise data, automate complex workflows and deliver reliable insights while meeting strict standards for accuracy, security and ...
SAN FRANCISCO, June 11, 2025 /PRNewswire/ -- Data + AI Summit-- Databricks, the Data and AI company, today announced the launch of Lakebase, a first-of-its-kind fully-managed Postgres database built ...
Enterprises are going all in on compound AI agents. They want these systems to reason and handle different tasks in different domains, but are often stifled by the complex and time-consuming process ...
Agent Bricks uses technology developed by MosaicML’s research division to optimize the agent development process and help control the cost of running agents. Databricks has released a beta version of ...
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