Speakers
AI-assisted development is helping Salesforce teams build and deploy changes faster than ever. But as development accelerates, how can teams ensure their data remains secure, accessible, and recoverable when something goes wrong?
Join us as we explore why a strong data strategy is essential for AI-assisted Salesforce development, from managing storage and compliance to testing changes and recovering from unintended updates.
What We’ll Cover:
- Prepare for AI-Assisted Development: Understand the data management challenges that come with faster development cycles and AI-generated changes.
- Protect Your Salesforce Data: Explore best practices for data storage, retention, compliance, and recovery.
- Test Changes With Confidence: Learn how to use realistic, masked test data and identify the impact of bulk updates and automation.
- Recover From Unintended Changes: Discover how to compare data before and after changes and selectively restore affected records or fields.
- Keep Historical Data Accessible: Explore how archived Salesforce data can remain accessible without consuming Salesforce storage.
Walk away with practical strategies to help your team accelerate Salesforce development while maintaining control over your data, reducing risk, and preparing for unexpected changes.
