Experts from IBM discuss the nuanced role of AI in mainframe modernization, the immense infrastructural and product challenges behind global AI adoption, and the critical need for a multi-layered, security-by-design framework for the safe deployment of AI agents.
Eric Peter from Databricks outlines the evolution from the traditional MLOps lifecycle to the more complex Agent Ops lifecycle. He details the five essential components of a successful agent development platform and introduces MLflow 3.0, a new release designed to provide a comprehensive, open-standard solution for building, evaluating, and deploying AI agents.