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Ontologies at the Center of AI Why Semantics Will Define Value in 2026

How enterprises can unlock AI value by turning data into shared knowledge through semantic models and knowledge graphs.

Ontologies at the Center of AI: Why Semantics Will Define Value in 2026 Over the past few years, the AI conversation has been dominated by scale: bigger models, more GPUs, faster training, and increasingly sophisticated algorithms. But as we move through 2025, that narrative is starting to shift. In... [Read More]

Enterprise Applications: How Semantic Models Enable Scalable Agentic AI

Why Semantic Models Are the Backbone of Intelligent, Scalable AI Agents in the Enterprise.

Semantic models provide enterprise applications with context and meaning required for AI and now it’s time to see that power in action, especially in the context of agentic AI – AI systems (or “agents”) that can act autonomously and interact with other systems, for this to become a reality, semantic... [Read More]

Introduction to Semantic Models and Why They Matter for the Future of AI Interfaces

How semantic models empower conversational AI to better understand your business.

Artificial intelligence is reshaping how we interact with technology, moving us toward more natural, conversational experiences, also improving significantly how we interact with technology and how quickly we can maximize the value that we can get. So about semantic models – a foundation that gives AI a richer understanding of... [Read More]