Snowflake & Carlyle: Machine Learning – Deployment and Governance

Machine Learning


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

Join us for the live enablement session!

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

In this session, our expert instructors will guide you through the latest features and allow you to follow and answer questions in real time.

You can expect to learn:

  • SnowPark Container Service (SPCS): We introduce the core SPC concepts, including availability on AWS and Azure, and future availability on GCP. Learn how unified governance can be used to enable deployment of third-party models and applications within snowflakes.
  • Observability of AI and applications: Learn about new tools for monitoring and debugging.
  • Observability and LLM assessment of AI: Explains how these tools can help you evaluate, debug, and optimize your GEN AI applications, increasing trust and transparency.
  • SPCS Application Metrics and Traces: Covers how you can send these to snowflakes, centralizing your observability and encouraging faster troubleshooting.
  • AI-equipped assistant: Introducing new tools that make data more accessible to business users.
  • Snowflake Intelligence: Introducing this natural language interface that allows non-technical users to query data without SQL or dashboards.
  • Cortical Agent: Learn how to integrate these into your application or Microsoft Teams/M365 to provide secure and accurate answers between structured, unstructured and unstructured data.



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