Overview
Syllabus
[] Sophia & David's preferred coffee
[] Takeaways
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[] Hands on MLOps and AI
[] Next-Gen MLOps Challenges
[] Data scientists adopting software
[] Taking a different approach
[] Zombie Model Management
[] Optimizing ML Revenue Allocation
[] Other use cases - Lockout - Tagout procedure
[] Vision Model Integration Challenges
[] Costly errors in predictive maintenance
[] Integration of Gen AI
[] Governance challenges in AI
[] Governance in Gen AI vs Governance with Traditional ML
[] Evaluation challenges in industries
[] Interface frustration with Chatbots
[] Implementing AI Agent's success
[] Usability challenges in interfaces
[] Themes in High-Performing AI Teams
[] Wrap up
Taught by
MLOps.community