Why R&D Data Belongs in the Lakehouse - and Why Agents Need It There
Databricks emphasizes the importance of storing R&D data in the lakehouse for AI agents. This setup enhances agents' ability to access and utilize data effectively, improving their performance in real-world tasks.
More in Agents
Jack Dorsey is taking on Slack with Buzz, a group chat platform for teams and their AI agents
Jack Dorsey just launched Buzz, a group chat platform designed for teams and their AI agents. This platform aims to streamline communication by integrating AI functionalities directly into team chats.
An AI system helped Pakistani judges clear massive backlogs at $38.50 return per dollar invested
An AI system is helping Pakistani judges clear massive case backlogs, yielding a $38.50 return for every dollar invested. This boosts judicial efficiency and addresses delays in the legal system.
AI’s most important protocol is getting a little bit easier to use
OpenAI is simplifying its Model Context Protocol (MCP) to enhance usability for developers. This change means easier integration for building more effective AI agents and workflows.
Build specialized agent workflows for your business with Amazon Quick and NVIDIA NeMo Agent Toolkit
Amazon and NVIDIA just launched the NeMo Agent Toolkit to help businesses create specialized agent workflows. This toolkit enables companies to build and deploy AI agents tailored to their specific needs, streamlining operations and enhancing productivity.