About the Webinar
Recorded: Tue, 6/23/26
If your polymer workflows are slowed by complex compounding, limited extruder access, or trial‑and‑error experimentation, you’re not alone. Teams are increasingly finding practical, effective ways to bring AI into their development workflows.
What You’ll Learn:
Join Ryan Murphy (Technology Manager of the Materials Physics Machine Learning group, Syensqo Specialty Polymers, Syensqo) in conversation with Christene Smith (Editor-in-Chief, CHEManager International) as they unpack how Syensqo is deploying the Citrine Platform across polymer R&D. You’ll hear how Ryan’s team evaluates tools, drives adoption, and manages organizational change to unlock measurable productivity gains.
Key Takeaways:
- How Syensqo selected and deployed an AI platform scientists actually use
- Practical strategies for aligning stakeholders and managing change
- Where AI delivers the most value in complex compounding environments
- How to prioritize high‑impact use cases based on data readiness and business value
Target Audience:
For scientists, R&D leaders, and industry professionals advancing polymer and materials innovation.
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