Live Webinar

Utilising Predictive Modelling to Aid Decision Making

Date: 20 May 2021
Time: 10:30 BST | 11:30 CEST
Location: On-Line
Registration: Free

Predictive modelling is gaining renewed popularity with the growing interest in related areas like machine learning, AI and big data. Predictive modelling offers a simpler way to model the relationships in data with the goal of advancing our understanding of how products and processes work. But the successful utilisation of predictive modelling in science and engineering requires an overlay of subject matter knowledge to ensure the integrity of our data and findings.

We invite you and your colleagues to join us to learn:

  • How predictive modelling saves time when you need to increase your understanding of a product or process to aid the right decisions.
  • Why predictive modelling methods – including for machine learning, AI and big data – need your subject matter knowledge to ensure success.
  • How, by integrating predictive modelling with your subject matter knowledge, you can increase the impact of your efforts.


Hadley Myers

Hadley Myers, PhD, is a Systems Engineer at JMP. With over 10 years of combined research and manufacturing experience in photovoltaics, Myers previously worked at Smit Thermal Solutions and HelioVolt, and served on the technical advisory board of OnPeak Power.

Register now to attend online

  Please subscribe me to JMP Newswire, the monthly newsletter for JMP users.
  Yes, you may send me emails occasionally about JMP products and services. I understand that I can withdraw my consent at any time by clicking the opt-out link in the emails.

JMP is a division of SAS Institute Inc. Your information will be handled in accordance with the SAS Privacy Statement.


Back to Top