Graph Center of Excellence: Preparing for Next Generation AI
Building the Enterprise Contextualization Layer for AI
As enterprises race toward AI adoption, many are hitting the same wall: fragmented systems, inconsistent governance, low-quality data, and AI that can’t be trusted. Without unified, contextualized data, AI initiatives stall before they scale.
Graph technology is rapidly emerging as the backbone of enterprise AI — the missing link that connects data, meaning, and governance into a single intelligent framework. It reduces cost, increases trust, and turns disconnected information into a powerful semantic foundation for analytics, automation, and AI.
In this recorded session, you’ll learn how to strategically adopt graph technologies across your organization by establishing a Graph Center of Excellence (CoE). We’ll break down why a Graph CoE is becoming essential for enterprises navigating the AI era—and how it accelerates your path from experimentation to production-ready, context-rich AI.
We’ll explore:
- The core pillars of a Graph CoE and how to deploy it across your enterprise
- Strategic graph adoption to unify, govern, and enrich your data
- Real-world use cases driving measurable business impact
- Why organizations must rethink their data management paradigm
- How to eliminate the ongoing “Bad Data Tax” draining AI ROI
- How a Graph CoE powers context engineering for AI solutions
- How it streamlines the creation of GraphRAG-based and domain-specific AI applications
Watch now to learn how establishing a Graph Center of Excellence can revolutionize your enterprise.