Maximizing ROI Through Distributed Computing and Multi-Cloud | Ravi Kumar Amaresam | Conf42 ML 2025

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Chapters
00:00 Introduction and Speaker Background
00:51 Overview of Today's Discussion
02:37 The Convergence of Edge Computing and Machine Learning
03:19 Business Value of Edge Machine Learning
03:57 Case Studies: Real-World Applications
05:10 Workload Placement Framework
05:47 Implementation Challenges and Solutions
06:17 Edge Optimized Model Architectures
06:46 Multi-Cloud Integration Strategies
07:14 Implementation Roadmap and Key Takeaways
07:54 Conclusion and Final Thoughts

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