DATA INSIGHT
LIVE WEBINAR
Experiment faster and more efficiently with Bayesian optimization
Date: 5 March
Time: 11:00 CET | 10:00 GMT
Duration: 30 minutes
Registration: FREE
An unpredictable number of experiments, wasted budget and time, and missed optimization targets place significant pressure on R&D groups as they work to move faster, increase capacity, and remain competitive. Bayesian optimization offers a modern approach to experimentation, using prior information - such as historical data, initial experiments, or partial results - to intelligently select the next best experiments to run.
Using Bayesian optimization means fewer trials, more information from each run, and a faster path to true understanding; for scientists and engineers, it means quicker insights, better-informed decisions, and progress with less trial and error.
Join this webinar to learn how Bayesian optimization can help speed experimentation and improve outcomes across your organization.
Key takeaways:
- How Bayesian optimization uses existing data to guide smarter experiment selection.
- How to reduce the number of experimental runs while gaining more insight per test.
- How to achieve optimization more quickly, even with limited time and resources.
About the Presenter
Stuart Little
Stuart Little is a Senior Systems Engineer at JMP, where he applies a background in the chemicals industry to helping provide solutions to a broad range of data and statistical problems. He has previously been Lead Research Scientist at Croda, a chemical products manufacturer. Little holds a Ph.D. in chemistry from the University of Sheffield.