Can Your Data Be Trusted By AI?
Before AI Can Deliver Value, Your Data Needs a Foundation of Trust.
AI is as effective as the information it accesses. If sensitive content is overshared, data ownership is unclear, or governance policies are inconsistent, AI may amplify existing problems instead of solving them.
At eGroup, we’re seeing many businesses move from AI experimentation to broader adoption, only to discover that data readiness is one of the biggest barriers to their success.
Join our panel of AI, security, and strategy experts for a discussion on how Microsoft Purview helps organizations gain greater visibility into their data, strengthen governance practices, and reduce risk while preparing for AI initiatives. We’ll cover realistic ways to improve data quality, security, and compliance so AI can deliver meaningful business value.
What You’ll Learn:
-
Why trusted data is the foundation of successful AI initiatives
-
How to identify and address data risks that AI can expose
-
Ways Microsoft Purview helps classify, label, and protect sensitive information
-
How data governance, retention, and access controls support AI readiness
-
Steps to reduce data sprawl and improve confidence in the information AI can access
-
Where to start if you’re evaluating AI adoption but aren’t sure your data is ready
AI readiness is not just about deploying new technology. It’s about knowing your data can be trusted.
