Using Machine Learning and Generative AI for Agile Transformations
summary
Shows concrete examples of applying unsupervised Machine Learning (especially clustering and fuzzy clustering) and generative AI to support Agile transformations. It explains using multidimensional distance metrics plus clustering to discover Development Value Streams in complex organizations, and using fuzzy clustering to optimize Planning Conferences for better alignment of multiple Agile Release Trains. It also reports that all ML scripts used in these cases were generated by ChatGPT, demonstrating generative AI’s ability to produce usable code.
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chapters (6)
- 0:00Introduction
- 1:47Machine learning theory
- 10:36Agile use cases
- 19:52Field experience
- 22:43Conference planning and scalability
- 29:13Conclusion
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