Turbocharging AI/ML Development with Snowflake Data Cloud
Watch a 53-minute conference talk from Data Con LA 2023 where Snowflake's Field CTO of Data Science, Puneet Lakhanpal, explores how to accelerate AI/ML model production using the Snowflake Data Cloud. Learn about the three key stages of AI/ML model production - development, operations, and application deployment - while discovering how Snowflake's platform provides centralized data access, elastic compute capabilities, and secure generative AI integration. Dive deep into practical implementations using Snowpark for AI/ML development, Container Services for governed Generative AI/LLMs, Streamlit for building intelligent applications, and ML Powered Functions. Gain insights into Snowflake's comprehensive ecosystem, including SQL integration, ML Modeling API, optimized warehouses, data frames, streaming capabilities, governance features, and how it compares with alternatives like SageMaker and Python worksheets.