Generative AI can only deliver true business value when it connects to your company’s real data. In this talk, Nikolaj and Morten share how to bridge the gap between AI and modern data platforms to build trustworthy, scalable and value-adding AI solutions.

Why data is the missing link in AI success
AI models are powerful, but without company-specific data they remain generic. Connecting generative AI to a modern data platform creates context, accuracy, and trust. This approach allows businesses to automate processes, deliver real-time insights, and enhance customer and employee experiences.

How modern data platforms enable contextual AI
A modern data platform integrates data from multiple systems, ensuring interoperability, governance, and security. It acts as the “brain” supporting the “voice” of AI, providing the single source of truth that allows large language models to make sense of company-specific information.

From hype to real business impact
Many AI initiatives fail due to poor data quality or lack of structure. Implement shows that success requires strategic foundations: data readiness, governance, and a scalable architecture. With the right platform, AI becomes more than a tool—it becomes a trusted partner in business transformation.