Join us for a 60-minute overview of Snowflake’s AI and Agentic capabilities that enable you to build intelligent applications with natural language interfaces and comprehensive monitoring. Discover how to leverage the Semantic Layer (semantic views and models) to bridge business terminology with database schemas for accurate AI responses, build sophisticated Cortex Agents that orchestrate across structured and unstructured data sources with planning and tool execution, deploy Snowflake Intelligence for instant insights and visualizations using natural language, and implement AI Observability to systematically evaluate, trace, and optimize your generative AI applications and agents using LLM-as-a-judge techniques. Learn best practices for creating semantic definitions, configuring agent tools and orchestration, and monitoring production AI applications with detailed metrics on accuracy, latency, cost, context relevance, and groundedness.
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