Engineering Trust - Practical AI Governance for Real-World Deployments
MLOps World: Machine Learning in Production via YouTube
Overview
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Explore practical AI governance strategies designed specifically for developers and engineering teams in this 30-minute conference talk from MLOps World. Learn how to transform traditional compliance checklists into developer-friendly workflows that integrate seamlessly into your development process without hindering innovation. Discover how leading organizations have successfully automated governance tasks by embedding risk assessments directly into CI/CD pipelines, making AI governance a natural part of the development lifecycle. Gain insights from industry experts including an AI governance specialist, research director, engineering director, and advisory fellow as they demonstrate real-world approaches to building trustworthy AI systems that are both compliant and production-ready. Understand how to move beyond bureaucratic paperwork to create governance frameworks that actually enhance system reliability while meeting regulatory requirements, with practical examples of how teams have maintained development velocity while ensuring their AI deployments are robust and trustworthy.
Syllabus
Engineering Trust: Practical AI Governance for Real-World Deployments
Taught by
MLOps World: Machine Learning in Production