As AI and machine learning reshape enterprise workflows, traditional governance models can’t keep up. Static, ad hoc reviews no longer work. Data provisioning must be dynamic, automated, and trustworthy.
In this video, Andy Ho, Senior Manager, EY Americas Technology Consulting, Ernst & Young, explores how organizations can prepare for a future where one human may oversee five AI agents, and where agentic AI can request and use data autonomously.
The stakes are high: without robust governance, compliance failures, trust issues, and security risks can derail innovation.
Key Insights:
- Governance is shifting from UI-driven workflows to automated, conversational, AI-driven models.
- Balancing defense (compliance, audit trails, liability reduction) with offense (data monetization, customer engagement, digital experience) is the best way to get results.
- Trust in both internal data access management and external customer relationships is critical in today’s enterprises.
- Automation is the only way to scale real-time, ethical data access across thousands of datasets and users.
Andy also explains how Immuta helps organizations align AI innovation with data provisioning, compliance, and business growth, and why dynamic data governance isn’t just about risk mitigation — it’s the foundation for innovation, speed, and trust in the AI era.
See how Immuta enables AI-ready data provisioning.