The Next-Gen Semantic Layer for AI-Ready Data

Most enterprises already have a semantic layer. The problem is that many were built for yesterday's BI environment, not today's fragmented data and AI architecture.

Forrester research shows that 84% of enterprises report using semantic-layer platforms, yet the average enterprise still operates three BI and analytics platforms and four data platforms. As organizations expand beyond dashboards into data products and AI agents, inconsistent metrics, duplicated business logic, and disconnected access policies become more than a reporting problem. They become an AI and governance risk.

According to Forrester, a next-generation semantic layer:

• Serves as an enterprise control plane
• Centralizes and governs metrics, dimensional models, calculations, and access policies
• Delivers shared business meaning consistently to BI tools, data products, and AI agents
• Integrates with the enterprise data fabric
• Provides a practical foundation for evolution toward data and knowledge graphs

Join Saurabh Abhyankar, Executive Vice President & Chief Product Officer at Strategy, and guest speaker Boris Evelson, Vice President and Principal Analyst at Forrester, for an executive fireside chat based on Forrester's new report, Make Data AI Ready Via Semantic Layer Platforms.

Boris will share Forrester's perspective on why the semantic layer is evolving from traditional BI infrastructure into a strategic control plane for enterprise data, analytics, and AI. He will explore what separates legacy, BI-bound models from next-generation platforms that can unify fragmented environments, integrate with the enterprise data fabric, support governed AI interactions, and provide an on-ramp to data and knowledge graphs.

Saurabh will bring the product and enterprise perspective, discussing how organizations can preserve governed business meaning as their data platforms, analytics tools, and AI experiences continue to change, and how Strategy Mosaic is addressing these next-generation requirements.

What You'll Learn: 

• Why widespread semantic-layer adoption has not solved enterprise fragmentation: Understand why multiple BI tools, data platforms, and duplicated definitions continue to undermine trust and scalability.
• How the semantic layer is becoming an enterprise control plane: Learn how next-generation platforms govern metrics, models, calculations, access policies, and business meaning across BI tools, data products, and AI agents.
• What makes enterprise data truly AI-ready: Explore the governed meaning boundary agents need to interpret metrics, entities, relationships, business rules, and permissions correctly.
• Why LLM-generated SQL alone is not enough: See where natural-language analytics breaks down and how semantic grounding improves reliability.
• How to navigate the evolving semantic-layer market: Compare BI-native, full-stack, data virtualization, lakehouse, specialist, and data-graph approaches, including the path toward knowledge and context graphs.

Who Should Attend: 

This session is designed for data, analytics, architecture, and AI leaders modernizing how governed business meaning is created, managed, and delivered across enterprise platforms, including:

• Chief data, analytics, information, technology, and AI officers
• Data and analytics leaders
• Enterprise and data architects
• AI governance and responsible AI teams
• Data platform and business intelligence owners
• Product and technology leaders building AI-powered applications