From MIT Technology Review · · 1m 40s
Lubrizol uses AI to speed up chemical research
A specialty chemicals maker combines AI, cloud computing and human expertise to help scientists develop sustainable materials faster.
In brief
A specialty chemicals maker combines AI, cloud computing and human expertise to help scientists develop sustainable materials faster. Lubrizol is building a digital foundation that pairs AI and cloud computing with chemist expertise to accelerate research and sustainability without replacing scientific judgment…
The challenge: connecting technology to reality
Companies accelerating innovation with AI and cloud computing face a primary challenge: connecting new technologies to reliable data, scientific expertise, and the practical realities of bringing products to market.
Lubrizol's digital foundation
Specialty chemicals manufacturer Lubrizol is building a digital foundation that connects business processes, modern data platforms, and cloud infrastructure to support its research and development teams.
Combining data with human expertise
Lubrizol combines decades of accumulated technical data with the deep expertise of chemists and engineers. Data scientists help identify patterns and model possibilities before researchers conduct physical experiments.
“it's not about replacing scientific judgment; it is about giving our scientists better tools”
Fusion teams align different perspectives
Scientists, data scientists, and IT teams approach problems differently, prioritizing experimental validity, model performance, and platform security respectively. Lubrizol brings these groups together in fusion teams aligned around shared objectives.
“Once the trust is built between the team members and they know what value they're about to create, things go a lot better”
AI advances sustainability research
Digital modeling helps researchers evaluate more formulations and explore materials such as starch and corn-based alternatives. AI can model multiple variables to help teams navigate competing demands across a product's life cycle.
The future: converging technologies at scale
Lubrizol expects AI, automation, advanced modeling, digital twins, and connected data to converge as laboratories become more intelligent and manufacturing plants more efficient. The opportunity lies in bringing these capabilities together responsibly and at scale.
“It's not just a single technology. I think it's the combination of all of these, and it'll be the ability to connect all these processes that are going to generate tremendous amounts of data”
The bottom line
Lubrizol is building a digital foundation that pairs AI and cloud computing with chemist expertise to accelerate research and sustainability without replacing scientific judgment.
