Overview
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Explore best practices for managing AI model lifecycles in production environments through this 42-minute talk by Databricks experts. Learn how to effectively serve, govern, and track model APIs to maintain performance and compliance. Discover governance frameworks, monitoring strategies, and performance tracking methodologies crucial for high-performing, scalable, and regulatory-compliant AI systems. Gain insights into optimizing model delivery, enhancing transparency, and ensuring accountability in model operations through real-world examples and practical advice. Equip yourself with knowledge to build robust systems for serving and overseeing AI models, unlocking their full potential while mitigating risks. Ideal for data scientists, ML engineers, and AI governance professionals seeking to enhance their understanding of AI model management in production.
Syllabus
Simplify GenAI App Development with Secure, Custom AI Agents
Taught by
Databricks