ICIS - chemical podcasts Episode 1377: Think Tank: AI may transform chemicals but with a human touch
Aug 26, 2025
Join Eleanor Manley, an AI entrepreneur and consultant, Sebastian Rau, director of advanced analytics for ICIS, and Carlos Soares, senior VP for data, analytics & AI at Brenntag, as they navigate the transformative potential of AI in the chemical industry. They delve into how AI can enhance sales, marketing, and supply chain operations while emphasizing the necessity of human oversight. The discussion covers the challenges of integrating AI, the importance of clean data, and the ethical implications of automation, advocating for a balance between technology and human insight.
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Accessibility Outpaces Measurable Value
- Generative AI is far more accessible now but businesses still struggle to quantify its value.
- Integration into legacy systems and clean data remain major barriers to enterprise impact.
Trusted Data Is The Foundation
- Making trusted, high-value data accessible is central to AI adoption in the chemicals industry.
- Companies must connect internal data with verified external sources to feed models reliably.
Get Data Engineering Ready First
- Prepare your data and data engineering teams to be AI-ready before scaling models.
- Organise and surface trusted datasets so models deliver consistent, high-value outputs.