Building the AI-ready enterprise: A 6-stage blueprint

Why do so many organizations struggle to turn AI investment into real business impact?

While many leaders point to governance risk, inconsistency, and lack of trust as barriers to AI adoption, the reality runs deeper.

These aren’t AI problems. They’re data foundation problems.

Enterprise AI is far more likely to stall without the right data architecture, semantics, and governance in place. That’s why Forrester has shaped a six-stage blueprint to help organizations build trusted, scalable, AI-ready data foundations.

In this executive fireside chat between Lauren O’Connor, Vice President, Product Marketing at Strategy, and our guest speaker, Noel Yuhanna, Vice President, Principal Analyst at Forrester,  to hear how leaders are structuring their data and analytics stack to unlock AI’s potential—safely, consistently, and at scale.

Why Join:

• The Real State of Enterprise AI: See where most organizations struggle today—and why governance, trust, and fragmented data architectures are emerging as the biggest blockers to AI success.
• Get the Analyst-Approved Blueprint: Learn how the Forrester Data, AI, and Analytics Architecture Modelhelps enterprises break down silos, align data with business meaning, and prepare their architecture for AI-driven success.
• Designing “Freedom with Fences”: Discover how a governed semantic and analytics layer enables business users to explore, analyze, and apply AI insights without compromising trust or control.

After this session, you'll walk away with:

• A clearer understanding of what “AI-ready” truly means—and how to assess whether your current data and analytics architecture supports it.
• Practical guidance on structuring data, semantics, and governance to support scalable, insight-driven AI initiatives across the enterprise.
• Greater confidence in enabling AI innovation responsibly, reducing risk while empowering teams to experiment, analyze, and deploy AI capabilities faster.

This conversation is designed for leaders navigating the tension between AI ambition and enterprise responsibility.

Join now and learn how to build a data foundation that accelerates your AI initiatives.