BigDL 2.0 - Seamlessly Scaling End-to-End AI Pipelines at Intel

Learn how to build and scale end-to-end AI pipelines using BigDL 2.0 in this 26-minute conference talk from Anyscale. Discover how BigDL 2.0 addresses the challenges of scaling AI projects from a single laptop to large-scale distributed systems. Explore its capabilities in transparently accelerating AI pipelines on a single node and seamlessly scaling them across hundreds of nodes. Understand how BigDL 2.0 automatically provisions Big Data and AI systems like Ray and Apache Spark for distributed execution, implements efficient in-memory data pipelines, and scales out deep learning training and inference. Gain insights into real-world use cases from companies like Mastercard and Burger King. Watch a demonstration of building an end-to-end AI pipeline using BigDL 2.0 on Ray and learn how this open-source tool can revolutionize your AI development and deployment processes.