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.
Date: 20 May 2021
Time: 11:30 CEST | 10:30 BST
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.