Opleiding: Data Strategy for Enterprise AI. Building the Data Foundation for Scalable AI

Build the enterprise data foundation for scalable AI

AI is only as powerful as the enterprise data strategy behind it. While access to AI models is becoming increasingly widespread, sustainable competitive advantage depends on how organizations manage their data assets, architecture, governance, and operating models.

Data Strategy for Enterprise AI equips executives with the strategic frameworks, practical tools, and decision models needed to transform enterprise data into a trusted foundation for AI. Participants learn how to move beyond fragmented data environments and build enterprise-wide data capabilities that enable scalable, resilient, and responsible AI.

Developed by ESMT Berlin faculty and grounded in cutting-edge research and industry practice, the program combines expert insights with executive frameworks, diagnostics, simulations, and hands-on sessions based on real organizational challenges. Participants explore strategic choices around enterprise architecture, data economics, infrastructure, governance, trust, resilience, and compliance, while developing a board-ready blueprint for their own organization.

What you will learn

• Develop an enterprise data strategy that supports scalable AI.

• Assess your organization's data readiness for AI and autonomous systems.

• Design data architecture and infrastructure for long-term business value.

• Evaluate strategic choices around proprietary, public, and synthetic data.

• Understand the economics of enterprise data, AI infrastructure, and technology investments.

• Build governance, trust, resilience, and compliance into enterprise data strategies.

• Make informed build-versus-buy decisions across the enterprise data landscape.

• Develop a board-ready enterprise data blueprint and action plan.

Who should attend

This program is designed for executives, senior managers, and decision-makers responsible for AI, data, analytics, digital transformation, enterprise architecture, technology, or business strategy. It is particularly valuable for leaders who want to establish the enterprise data foundations required to scale AI successfully and create long-term competitive advantage.