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Extending AI: From Industry to Innovation // Sophia Rowland & David Weik // #247
01:01:36
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2024/7/12
MLOps.community
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Sophia & David's preferred coffee
Key Takeaways from the Episode
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Hands-On MLOps and AI: Practical Insights
Next-Gen MLOps Challenges: What's Ahead?
Data Scientists Adopting Software: A New Era?
Taking a Different Approach: Innovative Solutions
Zombie Model Management: The Hidden Problem
Optimizing ML Revenue Allocation: Strategies and Tactics
Other Use Cases: Lockout - Tagout Procedure
Vision Model Integration Challenges: Overcoming Obstacles
Costly Errors in Predictive Maintenance: Lessons Learned
Integration of Gen AI: The Future is Here
Governance Challenges in AI: Navigating the Complexities
Governance in Gen AI vs Traditional ML: What's the Difference?
Evaluation Challenges in Industries: Real-World Examples
Interface Frustration with Chatbots: User Experience Matters
Implementing AI Agents: Keys to Success
Usability Challenges in Interfaces: Designing for Users
Themes in High-Performing AI Teams: What Sets Them Apart?
Wrap Up: Key Points and Final Thoughts
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