Sessions are tailored for builders of all experience levels.
BEGINNER
Introduction to Input Tables
Learn the fundamentals of Sigma Input Tables—the foundation of interactive AI apps. This session covers the three input table types, column configuration, data validation, permissions, and governance so you can move beyond static dashboards to dynamic applications.
Prerequisite: General familiarity with Sigma’s UX.
Speaker:
Paul Lisborg, Technical Instructor
BEGINNER
Introduction to Workbook Actions
Learn how to use Workbook Actions to trigger events, validate inputs, and automate interactions across your Sigma workbooks. You’ll build buttons, forms, and conditional logic that power seamless AI app experiences.
Prerequisite: Familiarity with Sigma’s UX and Input Tables.
Speaker:
Andrea Cato, Technical Instructor
INTERMEDIATE
Best Practices for Building AI Applications
Learn a proven framework for designing scalable, maintainable Sigma applications. This session covers key architectural decisions, modeling patterns, governance considerations, and UX principles to help your apps scale as users and requirements grow.
Prerequisite: Comfort with Sigma fundamentals (Beginner sessions).
Speakers:
Katrina Menne, Product Evangelist
Greg Bonnette, Field CTO
INTERMEDIATE
Integrating AI into Your Workflows with AI Query
A technical deep dive into embedding LLMs directly into Sigma workbooks using AI Query. Learn prompt engineering, warehouse-native AI calls, and techniques for transforming large datasets into intelligent, AI-ready inputs.
Prerequisite: Basic Sigma formula knowledge and familiarity with Snowflake or Databricks.
Speaker:
Fran Britschgi, Principal Architect
ADVANCED
Building an AI Application for Finance: Financial Statement Generator with Commentary
Build a fully governed, AI-powered P&L application in Sigma. You’ll model financial data, capture commentary with input tables, write back to the warehouse, and use AI to summarize insights—replacing manual spreadsheets with a scalable workflow.
Prerequisite: Familiarity with input tables, writeback, joins, unions, and summarization.
Speaker:
Kyle Herold, Principal Finance and Planning Applications
ADVANCED
Best practices for building a data model for an AI Application
Learn how to model data specifically for AI applications. This session covers structuring data for LLM ingestion, calling AI functions, and optimizing outputs to produce accurate, intentional results at scale.
Prerequisite: Intermediate Sigma experience; no prior AI or JSON knowledge required.
Speakers:
Khush Gill, Principal Solutions Engineer
Ian Reed, Solutions Engineer
ADVANCED
Developing an intuitive feature-rich UI for AI Applications: Customer Call Analysis
Learn how to turn AI models into usable applications. This session focuses on combining Sigma Actions, writeback, and warehouse AI to create intuitive, high-adoption AI app interfaces.
Prerequisite: Intermediate Sigma experience. Builds on "Best practices for building a data model for an AI Application" session (template provided).
Speakers:
Khush Gill, Principal Solutions Engineer
Ian Reed, Solutions Engineer
