🎥 Recorded live at the MLOps World | GenAI Summit 2025 — Austin, TX (October 9, 2025) Session Title: Streamlining ML Collaboration at Dick’s Sporting Goods Speaker: Ravi Shankar, Manager, Data Science, Dick’s Sporting Goods Abstract: As machine learning teams scale across large enterprises, maintaining alignment, reproducibility, and collaboration becomes increasingly difficult. In this lightning talk, Ravi Shankar from Dick’s Sporting Goods shares how his team streamlined ML collaboration—creating shared standards, unified infrastructure, and effective communication workflows that accelerated delivery while reducing errors. Ravi outlines a practical framework for cross-team coordination, model reproducibility, and governed experimentation, showing how large ML organizations can stay agile without sacrificing reliability or compliance. The talk also features a real-world case study from Dick’s Sporting Goods, demonstrating measurable improvements in deployment speed, error reduction, and ROI through collaborative MLOps practices. What you’ll learn: • How to build shared infrastructure and workflows that unify ML teams across departments • Proven strategies for reproducibility, versioning, and model governance in enterprise environments • How to reduce friction between data science and engineering through standardization • Real-world metrics showing how collaboration boosts delivery speed and reduces errors • Actionable steps to streamline ML collaboration within your own organization.