19 Sep, 2026
As we enter a new year, I’ve been reflecting on a question nearly every CEO, CIO, and CTO is grappling with today: Over the past two years, enterprises have invested…

Application Knowledge Graphs: The Missing Layer for AI-Ready Enterprise Applications

Deploying generative AI models in corporate environments often exposes a fundamental gap: enterprise applications are simply not AI-ready applications out of the box. When AI agents query complex systems like ERPs or CRMs, they lack an understanding of underlying business logic, table relations, and hidden dependencies. Generic AI tools promise natural-language access but routinely disappoint […]

3 mins read

AI-Ready vs. AI-Activated Data: What’s the Difference and Why Enterprises Need Both

Enterprise AI does not create value simply because data has been cleaned, cataloged, or moved into a modern platform. Those steps can make data AI-ready, but readiness is only the foundation. AI-ready data is fit for a defined AI use case. AI-activated data goes further: it is governed, fit-for-purpose data that has been put into […]

13 mins read

One Substrate, Eight Workflows

How a Single Semantic Layer Powers Solix EAI Pharma’s Discovery Stack If a platform’s anatomy is real, adding an eighth capability shouldn’t require rebuilding the first seven. Our last post argued, alongside Patrick Grady’s two-part “On Platforms” series, that AI compounds only when it sits on a real anatomy — schema, taxonomy, workflow expertise, ontology, […]

8 mins read