As companies accelerate innovation with AI, cloud computing, and advanced modeling, the primary challenge remains connecting new technologies to reliable data, scientific expertise, and market realities. For specialty chemicals manufacturer Lubrizol, digital transformation focuses on giving researchers tools to test ideas faster and develop sustainable materials without compromising performance. Girish Rao, vice president of information technology at Lubrizol, is building a digital foundation connecting business processes, modern data platforms, and cloud infrastructure to support R&D teams.
The goal is to combine decades of accumulated technical data with the deep expertise of chemists and engineers who understand customer needs and physical constraints. Data scientists can identify patterns and model possibilities before physical experiments, but Rao emphasizes, "it's not about replacing scientific judgment; it is about giving our scientists better tools." By bringing scientists, data scientists, and IT teams together in "fusion teams" around shared objectives, starting with small pilots to build trust, Lubrizol aligns diverse perspectives. Cloud infrastructure provides flexibility to access computing resources without substantial data center investments.
These capabilities are especially valuable for advancing sustainability, allowing researchers to evaluate more formulations and explore alternatives like starch and corn-based materials. Looking ahead, Rao expects AI, automation, advanced modeling, digital twins, and connected data to converge, making laboratories more intelligent and manufacturing plants more efficient. The opportunity lies in bringing these capabilities together responsibly and at scale.
Source: MIT Technology Review AI · Summarized by HeadlinesBriefing