Machine learning operations

Power agents with full context of your experiments and traces with W&B MCP server

Power agents with full context of your experiments and traces with W&B MCP server

The W&B Model Context Protocol (MCP) is a hosted endpoint that enables AI agents to intelligently interact with all Weights & Biases data, including runs, traces, evaluations, and reports. It features discovery tools for smart queries, automated analysis for comparing experiments and identifying regressions, and seamless integration with IDEs, coding agents, and chat interfaces like Mistral AI for streamlined ML workflows and on-the-go reporting.

Agentic Data Management and the Future of Enterprise AI — with Rohit Choudhary

Agentic Data Management and the Future of Enterprise AI — with Rohit Choudhary

Rohit Choudhary, CEO of Acceldata, discusses the imminent 10x annual growth of enterprise data and how most organizations are unprepared. He introduces Acceldata's agentic data management platform, designed to make data self-aware, self-optimizing, and AI-ready. He emphasizes the 1000x cost difference of fixing data early versus late, the need for operational, real-time data governance, and why clear thinking and deep domain expertise, not just programming skills, will be most valuable in the age of AI.