Explore monitoring unstructured data in machine learning through this 13-minute lightning talk featuring Aparna Dhinakaran and Jason Lopatecki from Arize. Gain insights into the challenges of monitoring embeddings on unstructured data and learn how Arize tackles this complex issue. Discover the importance of embeddings in unstructured models, understand the need for common tools among ML teams, and delve into the concept of embeddings. Examine the real motivations behind AI and explore ML observability for unstructured data. Learn about indexing and monitoring embeddings, measuring drift in unstructured data, and utilizing interactive visualizations. Witness a product demo showcasing Arize's approach to handling unstructured data and implementing a data-centric AI workflow.