Discover strategies for effective collaboration between data science and product teams in this 19-minute talk by Daniela Santisteban from MLOps.community. Learn how to leverage product management partnerships to ensure quality data ingestion and training data for machine learning models. Explore techniques for influencing product architecture to set up ML models for success, and gain insights on proving model ROI to business stakeholders. Benefit from Santisteban's extensive experience in analytics across various company sizes and technologies, including her work in user-event instrumentation for video streaming apps and creating data products for retail pricing analytics. Gain valuable knowledge on improving data collection processes and enhancing the overall effectiveness of ML initiatives through strategic product partnerships.