Alex Wettreich

As enterprises scale their AI initiatives, a major impediment is the reliance on IT to build and maintain end-to-end agents, resulting in large backlogs, slow adoption, and unsustainable maintenance burden on AI teams. This session explores real-world examples of enabling successful business-led AI transformation in large organizations, strategies for unlocking scalable AI development, activation and supervision, and the implications for AI strategy and governance in an agentic world.

Deploying Generative AI successfully in one area is just the beginning—scaling its impact across the enterprise requires strategic alignment, robust infrastructure, and strong governance. This session will guide enterprises through the critical steps to move AI projects from experimentation to business transformation.

·        Identifying high-impact, scalable use cases and securing stakeholder buy-in.

·        Building a strong AI foundation: Ensuring data, infrastructure, and governance readiness.

·        Designing robust workflows for model development and deployment.

·        Fostering an AI-driven Culture, Encouraging Cross-functional Collaboration and Change Management.

·        Defining success metrics to ensure AI delivers sustainable business impact.