Near Realtime Model Serving with Databricks Serverless - Albertsons Case Study

Explore a 31-minute conference talk on providing near real-time model serving for an internal pricing analytics application using Databricks serverless compute. Discover how Albertsons developed an in-house model serving framework to trigger thousands of models with a single click and receive rapid responses. Gain insights into creating a generic model serving framework, employing models effectively, and optimizing Databricks serverless compute for scalable performance while minimizing costs. Learn from Amit Adiraju Narashimha, Senior AI Engineer, and Diana Adam, Sr. Director Data Science at Albertsons Inc., as they share their unique approach to addressing complex requirements in model serving.

Albertsons - Near Realtime Model Serving with Databricks Serverless