Bayesian optimization seems to be the rising star on the stage of industrial experimentation, but how does it fit alongside traditional DOE approaches? Its adaptive, goal-oriented strategy can dramatically improve efficiency and insight generation in complex systems, yet DOE remains a cornerstone in industry.

In this talk, I share learnings from my research and discussions with practitioners, outlining practical strategies for applying Bayesian optimization within JMP workflows and bridging classical and modern methods for industrial experimentation.
Presented At Discovery Summit Europe 2026

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Published on ‎01-30-2026 11:08 AM by Community Manager Community Manager | Updated on ‎02-10-2026 01:31 PM

Bayesian optimization seems to be the rising star on the stage of industrial experimentation, but how does it fit alongside traditional DOE approaches? Its adaptive, goal-oriented strategy can dramatically improve efficiency and insight generation in complex systems, yet DOE remains a cornerstone in industry.

In this talk, I share learnings from my research and discussions with practitioners, outlining practical strategies for applying Bayesian optimization within JMP workflows and bridging classical and modern methods for industrial experimentation.


Start:
Thu, Mar 12, 2026 09:15 AM EDT
End:
Thu, Mar 12, 2026 10:00 AM EDT
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