How to Succeed at Agentic AI with Trusted & Resilient Data

Join Eoghan Casey and Mark Wigham from Salesforce for an in-depth webinar on maintaining trusted and resilient data to deploy AI at scale. We will explore the essential steps to ensure that AI Agents have access to the data they need, don’t have access to data they shouldn’t, and perform optimally.

Key topics include:

• Trusted Agentic AI: Understand how to implement robust data security measures to control and track what data Agents access, create, and modify.
• Data Reliability and Relevance: Learn how to maintain the accuracy and relevance of your data, ensuring it remains a valuable asset for your business.
• Data Security Measures: Discover best practices for tracking changes and encrypting sensitive data, including data created and changed by Agents.
• Robust Data Backup and Recovery: Understand the importance of reliable data backup and precision recovery processes in minimizing data loss and disruptions, ensuring business-critical data is easily recoverable and maintaining system integrity.
• Data Anonymization: Explore how data anonymization can enhance security and compliance, reducing the risk of data exposure in development, testing, and training environments.
• Automating Sandbox Seeding: Discover how automating sandbox seeding can speed up development cycles, improve developer productivity, and drive faster revenue growth and higher operating margins.

Walk away with actionable strategies to maintain resilient and trusted data to accelerate your AI projects with confidence.