MCML - A Universal Schema for AI Traceability and Lifecycle Governance

Learn how to implement comprehensive AI traceability and lifecycle governance using the Model Connect Markup Language (MCML) in this 26-minute conference talk from the MLOps World | GenAI Summit 2025. Discover a unified schema-based governance framework that integrates model, dataset, interface, and agent documentation into a comprehensive traceability system designed to address the growing regulatory scrutiny in critical AI deployments across healthcare, finance, and autonomous systems. Explore how MCML enables end-to-end AI traceability from development through inference while supporting compliance with major frameworks including the EU AI Act, NIST RMF, and FDA SaMD guidelines. Examine real-world implementation results demonstrating a 40% reduction in audit preparation time and improved incident response capabilities. Master practical techniques for mapping AI artifacts to compliance frameworks, integrating MCML into CI/CD pipelines and MLOps stacks, and implementing lifecycle traceability systems. Gain insights from best practices and adoption experiences across healthcare, finance, and autonomous systems sectors, while understanding how this universal schema facilitates cross-organizational interoperability and addresses the fragmentation issues common in current AI documentation methods.