Bridging the gap between ambition and reality

R&D organizations are prioritizing AI and digital innovation, yet 62% are still in the early stages of digitalization and only 20% have fully automated workflows. The biggest barrier remains fragmented data, with legacy systems and silos limiting accessibility, slowing research, and preventing effective AI adoption.

Centralizing data is now critical to improving efficiency, enabling collaboration, and unlocking the predictive power of AI. However, most organizations are still focused on building this foundation before advanced technologies can deliver real impact.

Discover how leading organizations are closing the gap between ambition and execution.