[r/ML] [D] Telecom modernization on legacy OSS, what actually worked for ML data extraction

Summary

This project successfully integrated machine learning into a legacy telecom OSS stack from the early 2000s, highlighting that data extraction was the primary challenge, not model development. The system's age, lack of APIs, and mission-critical nature made direct modification impossible. Application-layer log parsing proved unmaintainable due to format drift across software versions, indicating the difficulty of obtaining clean data from such complex, unmodifiable environments.

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