AI adoption in Salesforce is accelerating, but trust in the underlying data is still lagging behind.
Watch this research-led session based on insights from 323 Salesforce professionals exploring how teams are actually approaching AI, where confidence breaks down, and what needs to change before AI can be safely scaled across the platform.
What We Cover:
- Where Salesforce Teams Really Stand with AI Today: Why most organizations are still in early adoption stages and what’s holding them back.
- Why Data Quality Determines AI Success: How inconsistent, noisy, and incomplete data limits the effectiveness of even the most advanced AI features.
- Where AI Can Support Data Reliability Safely: Use cases for detection, pattern recognition, anomaly surfacing, and prioritization without losing human control.
- How to Build a Trustworthy AI-Ready Salesforce Org: Practical steps for cleaning data, standardizing key fields, and introducing governance that enables safe AI adoption.
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