Architectural and Organizational Patterns in Machine Learning with Nishan Subedi - #462
Analysis
This article from Practical AI discusses machine learning architecture and organizational patterns with Nishan Subedi, VP of Algorithms at Overstock.com. The conversation covers Subedi's journey into MLOps, Overstock's use of ML/AI for search, recommendations, and marketing, and explores architectural patterns, including emergent ones. The discussion also touches on the applicability of anti-patterns in ML, the potential for architectural patterns to influence organizational structures, and the introduction of the 'Squads' concept. The article provides a valuable overview of current trends in ML architecture and organizational design.
Key Takeaways
- •Discussion of machine learning architecture and architectural patterns.
- •Exploration of how ML/AI is used at Overstock.com.
- •Introduction of the 'Squads' concept within an organizational structure.
“We spend a great deal of time exploring machine learning architecture and architectural patterns, how he perceives the differences between architectural patterns and algorithms, and emergent architectural patterns that standards have not yet been set for.”