Most enterprise AI initiatives stall between pilot and scale. The missing layer is process intelligence. Jori Stjerna, Director of Modernization Transformation and Growth at KONE, and Suvi Rantonen, Head of Process Excellence at Vaisala joined us on stage to share what building process intelligence for AI requires and offers in practice.

In most AI projects I see, the model is not the first thing that breaks. The process is. A model can predict a delivery delay, flag a supplier risk, identify a missing document, or recommend the next action in sales. That output only matters if someone can act on it.

When enterprise AI doesn't perform reliably in production, the AI model is rarely the problem. The data underneath it is. The semantic layer is how organisations fix that, and why global companies like IKEA, AstraZeneca, and Netflix have made ontologies and knowledge graphs core infrastructure.