Machine Learning is becoming an integral part of every product to improve user engagement and experience for different use cases ranging from recommendations and self-driving cars to building Metaverse. The rise of such Machine Learning-powered products and quickly evolving Machine Learning landscape imposes unique and complex engineering challenges ranging such as real-time feature engineering, online learning, to distributed model training & inference for large scale models across heterogenous hardwares in a privacy safe manner. Join us to hear from leading Machine Learning domain experts discussing latest trends and technical challenges to build such scalable Machine Learning platforms for their use cases.