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Learn to architect and scale production-grade AI systems using the Databricks Data Intelligence Platform in this 43-minute conference talk. Explore practical techniques for building comprehensive AI pipelines that handle both structured and unstructured data processing. Discover how to leverage Mosaic AI tools and functions throughout the model development lifecycle, from initial creation through deployment and ongoing monitoring. Master the integration of experiment tracking using MLflow, apply performance optimization strategies, and utilize built-in frameworks for complete AI lifecycle management. Gain hands-on insights into designing, deploying, and maintaining enterprise-scale AI systems that deliver measurable business outcomes, presented by Kasey Uhlenhuth, Director of Product for Mosaic AI Platform at Databricks.
Syllabus
Building and Scaling Production AI Systems With Mosaic AI
Taught by
Databricks