Date: April 30, 2026
AI agents are rapidly becoming core components of modern business operations. This creates significant opportunities but also risks that organizations must proactively manage. Strong data and AI governance is now a hard requirement to ensure dependable, high-value outcomes.
This webinar offers a practical roadmap for implementing governance frameworks that balance innovation with responsible deployment. We will outline best practices that span organizational processes, technological architecture, and controls.
Data and AI leaders that join our webinar will learn actionable steps to mitigate risks and improve regulatory compliance across their data foundations, model lifecycle management, and application design.
For software vendors, this session provides timely insight into the governance challenges your customers face and the opportunity to highlight your solution.