aim10x Europe 2026 | The Missing Half of Enterprise AI | Dr. Ashwin Rao - o9 Solutions

Large language models have changed our expectations for technology, but they only solve part of the problem for large organizations. While these models are great at recognizing patterns and generating text, complex business decisions require more than just language processing. They depend on strict rules, mathematical constraints, and a practical understanding of how a company actually operates. Without this specific business context, even the most advanced models can sound convincing while delivering unreliable results for real-world planning and strategy.

In this video, Dr. Ashwin Rao, CTO at o9 Solutions, explains why the missing half of enterprise AI is the business itself. He breaks down the concept of Neurosymbolic AI, an approach that combines the speed of neural networks with the structured, auditable logic of symbolic AI. Watch to learn how building an Enterprise Knowledge Graph can map your value chain, connect isolated departments, and turn everyday business choices into a foundation of lasting institutional knowledge.

Neuro-Symbolic Agentic AI for Agile and Adaptive Enterprises

Enterprises don't struggle to gather data. They struggle to turn it into action while it still matters.

By the time the root cause is clear, the window to respond has often closed. This White Paper outlines how neuro-symbolic AI changes that equation, giving leaders a path from signal to grounded, governed decision in the same cycle the problem appears.