Cortex & SiS Immersion Day Workshop

Here is a "pitch" deck for running a customer-facing Cortex & SiS Immersion Day workshop.

Benefits for your customer include:

• Learn about and test Snowflake’s native Generative AI and Machine Learning capabilities
• Understand that Snowflake’s Text analytics & generation capabilities to support faster development and lower TCO with performant LLMs and search without moving data or managing integrations
• Understand difference between Generative AI and Machine Learning Use Cases capabilities and roadmap
• Experience Cortex and Streamlit in Snowflake first-hand with ready-to-use code via Hands-on-Lab

Here is the templatized workshop deck

Things to keep in mind:

• Cortex ML (Predictive ML) and Cortex LLMs (Generative AI) are foundationally different concepts.
  • ML has been around for more than a decade and there is considerable expertise / history with many of our customers. Cortex ML is Snowflake's effort to democratize "basic analytics and ML". They are great for creating creating "baseline" ML models. You don't want to get into a head to head debate about ML architecture since the ML field is vast.
  • AI is new. There are barely any standards and tools. The opportunity is huge. AI (LLMs) is what most customers want to hear about.
• Suggested HOL Approach - Break content into two sessions, or have a break between the sections.
  • Suggest running two separate workshops. Part 1 (Predictive ML) as one workshop. Part 2 (Generative AI) as one workshop.

HOL Agenda: (1 session for 4 hrs or 2 sessions at 2 hrs/session)

• Snowflake for AI Intro
  • Predictive AI / Machine Learning
  • Generative AI
• Streamlit in Snowflake for Apps Update
• Snowflake Cortex & SiS Hands-on-Workshop:
  • Part 1: Create simple ML-Powered analytics
    • Create Forecast using SQL Worksheet
    • Create Anomaly Detection using Snowflake Notebooks
  • BREAK
  • Part 2: Create simple LLM-Powered Unstructured Batch Data Processing Assistant
    • Create simple SiS app to translate text, detect sentiment, and summarize
    • Create simple SiS chatbot to answer simple questions
• Optional Part 3: Demonstrate customized SiS App (example Competitive Intel App)

What SEs need to know:

• SEs will need to setup the customer's account or Snowflake trial account prior to the workshop. See this document for full setup instructions.
• SEs to update and share a doc with registered attendees
• SEs to share the following HOL instructions
  • Part 1a: Create Forecast using SQL Worksheet
    • link to completed SQL code
  • Part 1b: Create Anomaly Detection using Snowflake Notebooks
    • link to completed Snowflake Notebook
  • Part 2a: Create simple SiS app to translate text, detect sentiment, and summarize
    • link to completed SiS app
  • Part 2b: Create simple SiS chatbot to answer simple questions
    • link to completed Snowflake Notebook and completed SiS app