AI in R&D: Keys to successful adoption and scaling

AI tools introduce three distinct privacy and security risks that do not exist in conventional solutions for R&D. Research data entered as AI prompts may be used to train future models, data flows across jurisdictions in ways that trigger regulatory obligations and standard vendor contracts often lack the protections research organizations need. Addressing these risks requires explicit contractual terms, regulatory mapping and a clear incident response plan that go beyond a traditional IT security policy. 

The Corporate R&D of the Future report draws on a global survey of R&D and R&D connected professionals. It shows how organizations use data, evidence and AI to make decisions, where the barriers lie, and what they expect from the next five years. Dive into the findings to see how views differ by region, organization size and seniority, and why connected data, trusted evidence and AI are set to define the future of R&D.