Explore how to leverage ensemble techniques to enhance machine learning model performance in this 28-minute conference talk from the Toronto Machine Learning Series. Discover strategies for combining multiple ML models to tackle complex problems more effectively, as presented by Applied Research Scientists Angeline Yasodhara and Azin Asgarian from Georgian. Learn how to create a "team of experts" by integrating various ML models, each specialized in solving specific aspects of larger challenges. Gain insights into improving model explainability and usability through ensemble methods, and understand how collaborative approaches can lead to more robust and accurate solutions in industrial AI applications.