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.

Business processes are constantly developed, but how often does that work translate into tangible and measurable results? Elisa's Process Director Milja Leppänen dives into succeeding in end-to-end process management in the age of AI, together with Joona Soratie from Vuono Group.

How to connect fragmented systems into end-to-end, data-driven operations to improve sales and delivery? Adam Burnage, Senior Manager, Metso, shared practical insights from a successful transformation and what it really takes to get there at our Data & AI breakfast event.

LähiTapiola partnered with Vuono Group to build a scalable foundation for managing business complexity. A modern business process management approach proved the value of embedding end-to-end process data directly into business logic, and laid the groundwork for scaling the business and building future AI capabilities.

What if instead of forecasting what customers ask for, you started from the need itself? At our Data & AI breakfast event, Senior Data Scientist Marko Laakso from Kesko explored how AI can uncover hidden demand and turn it into sharper operational decisions and clearer priorities.

Most organisations chasing AI results are solving the wrong problem. The real bottleneck isn't the technology, but the vicious cycle between bad data and broken processes. We've walked into organisations with 5000 Power BI reports, and teams that still don't know where to look when something goes wrong.

How do you scale high-quality monitoring and analysis when data volumes explode? We partnered with The Finnish Competition and Consumer Authority and the Finnish Safety and Chemicals Agency to transform manual data gathering into an AI-powered process, building a foundation for agentic automation.

Reliable data and AI-driven processes help R&D move from uncertainty to validated engineering decisions faster. We partnered with EXC Group, a global product development and manufacturing company in outdoor sports, to accelerate the development of a new ultrasonic wind estimation technology.