JMP

Do your experimental results clearly tell you what to test next? When several factors interact, changing one factor at a time can hide what really drives performance and lead to unnecessary experiments. Join our free, in-person seminar in Oslo to discover how design of experiments (DOE) and Bayesian optimization can help you structure your studies and guide each new trial towards the most promising conditions. A practical session to help you: • identify key factors and interactions • reduce unnecessary experiments • reach optimal conditions faster • accelerate development and process improvement See practical examples, ask questions during the live Q&A and meet JMP experts. 📍 Oslo Science Park, Oslo 📅 8 September | 10:00–13:30 CEST 🎟️ Free registration | Limited seats available

Take the Guesswork Out of Experimentation Which factors really drive your results? Which conditions should you test next? When several variables interact, intuition and one-factor-at-a-time testing may not be enough to identify the best path forward. Join our free seminar to see how design of experiments can reveal key effects and interactions, and how Bayesian optimization can help guide subsequent trials towards better-performing conditions. A practical session for researchers, scientists and engineers looking to make experimentation more efficient and decisions more reliable. 📍 Oslo Science Park 📅 8 September | 10:00–13:30 CEST 🎟️ Reserve your free place

Run Smarter, More Focused Experiments More experiments do not always lead to better answers. The right experimental strategy can help you learn more from every trial, focus your resources on the factors that matter and avoid spending time on unproductive test conditions. Join JMP in Oslo to explore how Design of Experiments (DOE) and Bayesian optimization can support faster, more focused experimentation. You will learn how to structure your studies, visualize results and use existing data to guide what to test next. 📍 Oslo Science Park 📅 8 September | 10:00–13:30 CEST 🎟️ Free registration | Seats are limited

Take the Guesswork Out of Experimentation Which factors really drive your results? Which conditions should you test next? When several variables interact, intuition and one-factor-at-a-time testing may not be enough to identify the best path forward. Join our free seminar to see how design of experiments can reveal key effects and interactions, and how Bayesian optimization can help guide subsequent trials towards better-performing conditions. A practical session for researchers, scientists and engineers looking to make experimentation more efficient and decisions more reliable. 📍 Oslo Science Park 📅 8 September | 10:00–13:30 CEST 🎟️ Reserve your free place

Et si vos prochains essais étaient mieux guidés ? Découvrez comment des équipes comme L’Oréal utilisent les plans d’expériences et l’optimisation bayésienne pour accélérer leurs expérimentations. 📍 10 juin | Paris La Défense

Lorsque plusieurs variables interagissent, orienter les essais devient complexe. Découvrez une approche structurée basée sur les plans d’expériences et l’optimisation bayésienne, avec un cas concret présenté par L’Oréal. 📍 10 juin | Paris La Défense