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.
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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
Nettuno 6
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