Thank you, @Caroline and @Birgit, for your support in sharing an overview of Bayesian Optimization in JMP Pro 19 within Sanofi today.
After getting a first feel for the approach, we recommend connecting internally and giving Bayesian Optimization a try. And of course @martindemel is happy to support you.
Fantastic on‑demand resources (arranged from introductory to more detailed); if you missed todays session:
Bayesian Optimization | JMP
Introducing the Bayesian Optimization platform in JMP Pro - JMP User Community
Developer Tutorial: Bayesian Optimization
Hi, and if others would like to get a high-level overview from one of my colleagues, here is an upcoming Data Insight webinar on March 5, 2026:
https://www.jmp.com/en/events/europe/live-webinars/data-insight/2026/5-march
Please note: This is not going too deep into details, but helps to understand the what and why this is useful with a short high level demonstration. However, for some it might be enough to see if that would be something to consider in their work.