Solvay: Industrial data science for chemical process perfection
Join Solvay industrial scientist Francisco Navarro and JMP for a webinar on optimising production process using JMP software.
Engineers, scientists, and other industrial data explorers need their process data to be accessible and interactive. In the recording of this live session, discover how to better understand and optimise your processes via powerful interactive visualisations and point-and-click advanced analytics.
Learn how to effectively use explainable machine learning to select relevant tags (sensors) while capturing nonlinear interactions. All steps are demoed for a concrete case but can be applied throughout the chemical industry. Topics include:
The industrial data analytics life cycle.
The value of providing quick access to industrial data in historians.
How bootstrap forests and partition trees can filter tags (sensors).
Capturing nonlinear interactions using neural networks.
Recommend corrective action based upon analytical findings.
Speakers
Speaker: Francisco Navarro
Industrial Data Scientist and Chemical Engineer, Solvay
Francisco Navarro helps solve challenging optimisation and process engineering problems for a wide array of industries around the globe by transforming operations through digital and industrial data analytics. He has a Ph.D. in modelling and simulation.
Moderator: Benjamin Valsler
Digital Editor, Chemistry World
Ben Valsler is the digital editor of Chemistry World magazine, producing video and podcasts to accompany the magazine and website. Prior to joining the Royal Society of Chemistry, he was the producer of the award-winning Naked Scientists, making local and national radio programmes for the BBC, the Australian Broadcasting Corporation, and Primedia in South Africa.
