Spark AIOPS presentation (my part only)

Executive Summary: Industrializing Generative AI for ML Workflows 1. Strategic Pivot & Core Challenge The traditional Machine Learning (ML) lifecycle is often hindered by its “statistics-heavy” complexity, leading to high barriers to entry and inconsistent execution. By strategically pivoting from general use cases to core ML workflows, Generative AI (GenAI) can be transformed from a creative novelty into a high-value operational lever.