Digital R&D is driving rapid innovation by accelerating the time to market and reducing wasted effort and cost. Data science and AI are key tools in this process, enabling organizations to spot research opportunities, be more market-driven, predict success or failure early, automate processes, find new insights, and optimize product development. However, getting this right requires careful integration and alignment across different areas of R&D, as well as consideration of the user experience. As Digital R&D accelerates, data science and AI will play an increasingly important role in doing R&D at speed, but must not compromise accuracy. Organizations will need to constantly evolve their portfolio of tools and approaches to keep up with the changing demands of the market.