Decentralized Data and ML Teams
Erik and Michael discuss the challenges and benefits of decentralized data and machine learning teams. They explore the importance of centralized reporting and decentralized backlog management, as well as the need for a succession plan when handing off projects to use case teams.In this clip
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The Future of ML and Data Platforms // Michael Del Balso - Erik Bernhardsson // Coffee Sessions #57
Related Questions
What are the benefits of a hybrid model for analytics teams as discussed in the episode The Future of ML and Data Platforms // Michael Del Balso - Erik Bernhardsson // Coffee Sessions #57 and the clip Decentralized Data and ML Teams?
How can a hybrid model work for analytics teams?
How can a hybrid work model operate effectively for analytics teams?