Snowflake & Carlyle: Machine Learning - Deployment & Governance

Carlyle Enablement Session: Accelerating ML, App Deployment, and Observability

Join us for a live enablement session!

This essential workshop highlights new, cutting-edge features that streamline machine learning workflows, enable the secure deployment of third-party models and applications, and introduce robust tools for AI and application observability.

In this session, an expert instructor will guide you through the latest features, allowing you to follow along and get your questions answered in real time.

You can expect to learn about:

• Snowpark Container Services (SPCS): Introduce the core concepts of SPCS, including its availability on AWS and Azure, and its upcoming availability on GCP. Explain how it allows for the deployment of third-party models and applications inside Snowflake with unified governance.
• AI & Application Observability: Discuss the new tools for monitoring and debugging.
• AI Observability & LLM Evaluations: Explain how these tools help evaluate, debug, and optimize Gen AI applications, improving trust and transparency.
• SPCS Application Metrics & Traces: Cover how these can be sent into Snowflake to centralize observability and facilitate faster troubleshooting.
• AI-Powered Assistants: Showcase new tools that make data more accessible to business users.
• Snowflake Intelligence: Introduce this natural language interface that allows non-technical users to query data without SQL or dashboards.
• Cortex Agents: Explain how these can be integrated into applications or Microsoft Teams/M365 to provide secure, accurate answers across structured and unstructured data.