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21min chapter
787: MLOps: The Job and The Key Tools, with Demetrios Brinkmann
Super Data Science: ML & AI Podcast with Jon Krohn
Challenges and Trends in MLOps
The chapter delves into the challenges faced in managing machine learning operations, emphasizing the complexities of dealing with model updates and the importance of redundancy in software systems. It discusses key trends in MLOps and the pivotal role of data engineers in the machine learning lifecycle. Additionally, the chapter explores the concept of building and maintaining communities in various fields, emphasizing the value of shared learnings and support.
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