Engineering Trust - Practical AI Governance for Real-World Deployments
MLOps World: Machine Learning in Production via YouTube
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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 frameworks into developer-friendly workflows that integrate seamlessly with existing development processes. Discover methods to automate governance tasks within CI/CD pipelines, making AI risk assessment and compliance a natural part of your deployment workflow rather than a bureaucratic obstacle. Examine real-world case studies from organizations that have successfully implemented automated governance systems, turning regulatory requirements into engineering solutions. Understand how to build trust and reliability into AI systems from the ground up, ensuring production deployments meet both regulatory standards and operational requirements. Gain insights from industry experts on balancing innovation speed with responsible AI practices, making governance an enabler rather than a barrier to AI deployment success.
Syllabus
Engineering Trust: Practical AI Governance for Real-World Deployments
Taught by
MLOps World: Machine Learning in Production