Managing Cost for Data and AI Workloads with Databricks on AWS

Discover strategies for managing costs of data and AI workloads using Databricks on AWS in this 26-minute talk sponsored by AWS. Explore three key areas: Global Usage Tracking, Measuring Value, and Governance. Learn techniques for monitoring usage across various dimensions to identify cost inefficiencies, methods for quantifying ROI of data projects, and governance practices to maximize the effectiveness of Centers of Excellence in enforcing cost. Dive deep into best practices for efficient workload deployment, including leveraging serverless use cases to reduce TCO, optimizing classic compute with spot fleet and Graviton, scaling to zero for LLM serving, building observability and monitoring, and conducting a Well-Architected Framework review. Presented by Jeroen Meulemans, Solutions Architect at Databricks, and Venkatavaradhan Viswanathan, Senior Partner Solutions Architect at Amazon Web Services Inc. Gain insights into addressing challenges of siloed and disconnected enterprise data, and learn how to simplify technically complex data solutions to boost productivity and reduce operational costs.