Everyone is investing in AI. But amid the excitement, two critical questions are emerging: Are we building real business value or simply chasing AI hype? And as AI adoption accelerates, do we actually know where AI agents are being created, deployed, and making decisions across the organization?

Join Dan Hebda, Head of AI, for an executive discussion on how organizations can move beyond AI experimentation and focus on measurable outcomes while avoiding the unintended consequences of uncontrolled AI adoption. He will explore how successful organizations connect AI initiatives to business value, establish the right operating model, and address the growing challenge of Shadow AI Agents.

The session will conclude with a live demonstration by Ed Min Chia, Solutions Engineer, showcasing how organizations can gain visibility into AI agents, assess risk, and implement governance without stifling innovation.

Key Takeaways

• How to distinguish genuine AI business value from AI hype
• Why many AI initiatives struggle to deliver measurable outcomes
• The emergence and impact of Shadow AI Agents
• Risks associated with unmanaged AI adoption
• The role of Enterprise Architecture in governing AI at scale
• Practical approaches for balancing innovation, compliance, and control
• How AI Governance solutions help identify, monitor, and manage AI agents across the enterprise