Stephen Dickson

This hands-on lab (HOL: AI209) introduces participants to Snowflake Cortex AI's powerful capabilities for extracting insights from unstructured data. The lab features and you will build a comprehensive Streamlit application that demonstrates multiple AI functionalities accessible directly within the Snowflake ecosystem. Participants will explore a suite of practical AI tools including: - Multi-Modal Analysis: Processing images to extract structured information about content (animals, environments, etc.) and transcribing audio files into text - Text Processing: Translation between 11 languages, sentiment analysis of customer interactions, text summarization, and classification of content into predefined categories - Generative AI: Leveraging foundation models like Claude, Llama, Mistral, and Snowflake Arctic to generate customer emails, determine next best actions, and answer questions based on provided data The Streamlit application demonstrates how to seamlessly integrate these AI capabilities into workflows by connecting to Snowflake, managing file uploads to stages, and processing various data types. Through this interactive experience, participants will gain hands-on…