AI tools are everywhere, but real quality comes from humans bringing their expertise through checks and guardrails. Learn how experts encode that judgment into repeatable quality-assurance patterns.
Outcomes
Goal A
Identify the quality-assurance rituals expert AI users build, and learn how to name, teach, and scale them across your org.
Goal B
Learn how researchers, engineers, and other experts encode their judgment into repeatable AI skills and workflows.
Goal C
Use a starter framework to surface and formalize your team's quality practices so expertise scales instead of staying tacit.
0 Margin for Error: 10 Data Quality Requirements for AI
Theater • Intermediate
Wednesday • 9:00 AM – 9:20 AM
10 Agent Architecture Patterns from Salesforce Headless 360
Breakout • Intermediate
Wednesday • 1:30 PM – 2:10 PM
10 Hours to 30 Minutes: Closing the Execution Gap
Breakout • Intermediate
Thursday • 9:30 AM – 10:10 AM
2026 State of Email: Best Practices in the Agentic Era
Workshop • Beginner
Wednesday • 4:00 PM – 5:00 PM