Machine Learning for Entertainment - Challenges and Opportunities

Explore the challenges and opportunities of machine learning in the entertainment industry through this insightful conference talk. Delve into the world of video-on-demand streaming services as Jaya Kawale, Director of Machine Learning at Tubi, shares her expertise on solving various ML problems. Discover how machine learning is applied to homepage personalization, content understanding, acquisition, and ads targeting. Gain valuable insights into real-world challenges faced in the industry, including balancing business metrics, addressing feedback loops in recommendations, and ensuring model interpretability and scalability. Learn about the importance of algorithmic fairness and mitigating biases in ML systems. Understand the solutions implemented by Tubi's ML team and get a glimpse of future developments in the field. This 33-minute talk from the MLOps World: Machine Learning in Production conference offers a comprehensive overview of machine learning applications in entertainment, providing both practitioners and enthusiasts with valuable knowledge and perspectives.

Machine Learning for Entertainment Challenges and Opportunities