Join JMP and Solvay industrial scientist Francisco Navarro 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, you will 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 non-linear interactions. All steps are demoed for a concrete case but apply throughout the chemical industry.
- The industrial data analytics life cycle
- The value of providing quick access to industrial data in historians
- Learn how bootstrap forest and partition trees can filter tags (sensors)
- Capture non-linear interactions using neural networks
- Recommend corrective action based upon analytical findings
Speaker: Francisco Navarro, industrial data scientist and chemical engineer at advanced materials and speciality chemicals company Solvay
Moderator: Benjamin Valsler, digital editor, Chemistry World magazine
JMP has been a part of SAS since the first version of JMP statistical discovery software was launched in 1989, bringing interactive data visualisation and analysis to the desktop. SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. Through innovative solutions, SAS helps customers at more than 60,000 sites improve performance and deliver value by making better decisions faster. Since 1976, SAS has been giving customers around the world the power to know.
