The AI hype settled; the data problems didn’t. See what two years of implementation taught revenue teams and operators, and steal their top 10 data quality requirements that perform.
Outcomes
Goal A
Benchmark your team’s AI implementation and learn how to fix common data problems with enrichment, hierarchies, and more.
Goal B
See what changes when agents not only read but start acting on your data, and learn new risks that come with write access.
Goal C
Gain a practical checklist of data requirements and governance that determine whether AI will deliver trustworthy results.
10 Agent Architecture Patterns from Salesforce Headless 360
Breakout • Intermediate
Wednesday • 1:30 PM – 2:10 PM
3 essentials to Scale Multi-agent AI Across the Enterprise
Breakout • Intermediate
Wednesday • 9:30 AM – 10:10 AM
3 Ways Enterprises Deploy Voice AI: Takeaways and Trade-offs
Theater • Intermediate
Wednesday • 12:00 PM – 12:20 PM
3 Ways to Unify Partner Marketing and Sales Into One Motion
Theater • Beginner
Thursday • 9:30 AM – 9:50 AM