NODES AI 2026 – The Future of Enterprise AI Is Context Infrastructure, Not Better Models

Join Manuel Maguga Darbinian at NODES AI for this session: “The Future of Enterprise AI Is Context Infrastructure, Not Better Models”.

As AI becomes increasingly embedded in every workflow, the limiting factor isn’t model (LLM) quality, it’s data.

Organisations operate on fragmented, partially structured knowledge spread across tools, documents, conversations, and workflows. AI automations built on top of this environment inherit inconsistency, fragility, and stale information.

This session introduces Spiintel’s architecture for building an ontology-driven intelligence foundation designed specifically for AI agents. As AI becomes embedded in more business workflows, the real bottleneck is no longer model capability. It is business context.

In this talk, I will show why the next challenge in enterprise AI is not just AI adoption, but context fragmentation, and why solving it requires more than retrieval or bigger context windows. I will explain how Spiintel structures business logic through ontology-based modelling, preserves temporal memory so systems understand how definitions evolve over time, and enables governed execution so agents can do more than just retrieve information.

Access Presenter Slides: https://drive.google.com/file/d/1YPL6yhvF6l7fKKBGfWw481PaD_FFCbtS/view?usp=sharing

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