Optimization of chemical processes through industrial data science
In the realm of industrial data analysis, a new webinar is set to provide valuable insights and practical applications. Titled "Optimising production process using JMP software," this event is sponsored by JMP and is led by industrial scientist Francisco Navarro.
The webinar is intended for engineers, scientists, and other industrial data explorers, offering a unique opportunity to delve into advanced analytics and data visualisation techniques. The session will feature point-and-click advanced analytics, promising to make complex data analysis more accessible for all attendees.
One of the key highlights of the webinar will be the demonstration of powerful interactive visualisations, aimed at helping participants better understand and optimise their processes. The event will also showcase how to leverage JMP software to streamline data analysis and make informed decisions more efficiently.
For those who may not be able to attend the live session, fear not! The webinar recording will be available, allowing you to revisit the insights and learnings at your own pace.
Francisco Navarro, an industrial data scientist and chemical engineer at Solvay, will lead the webinar. His expertise in the field and experience with JMP software promise to deliver a valuable learning experience for all participants.
It's worth noting that this is not the first webinar sponsored by JMP. Previous events include "Lost in space, found in data: real-world scientific exploration and discovery," "Building organisational consensus around the tools of digital chemistry," and "Speed up process development by making more from your offline and online data."
Unfortunately, at the time of writing, the current work focus of Francisco Navarro is not readily available in the search results. Nonetheless, his involvement in this webinar underscores his commitment to sharing knowledge and advancing the field of industrial data analysis.
Join us for this insightful webinar and take a step forward in your data exploration journey!
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