In this 60-minute Deep Dive, Solita experts unpack what we actually mean when we say, “semantic layer” and why treating it as a single layer is a trap. Instead, we’ll explain how to view it as a metamodel composed of distinct semantic responsibilities, each with different guarantees and ownership.
We’ll also explain why knowledge graphs are a powerful foundation for semantic interoperability. We will also discover how to use them to link business objectives, processes, data, systems, stakeholders, and governance into a connected, living model that both humans and machines can navigate.
What will you learn
- Why AI and analytics break down without shared meaning and how semantic ambiguity turns into inconsistent answers and “hallucinations”.
- How to separate records, identity, meaning, and lifecycle so that the semantic foundation doesn’t collapse into one overloaded “translation layer”.
- How knowledge graphs enable semantic interoperability and thus, AI compatibility.
- Where AI helps (discovering concepts, proposing structure, validation, and continuous evolution), and where human input is required to find an agreement.
- Practical starting points: what you can do today to build semantic guardrails that make AI outputs more reliable.
Who is this event for
- CDOs, Heads of Data & Analytics
- Enterprise Architects, Information Architects, Data Architects
- Data Governance Leaders, Data Platform Product Owners
- Business and operations leaders who need consistent KPIs and trustworthy AI-enabled insights
If you’re investing in AI agents, self-service analytics, or enterprise-wide KPI alignment, this Deep Dive on Apr 16 will help you build the semantic foundation that makes results consistent, explainable, and reusable. Because AI accelerates what you’ve defined and creates noise from what you haven’t.
