In the dynamic fields of science and engineering, predictive modelling plays a crucial role in bridging extensive data sets with practical, usable insights. While its significance is widely acknowledged, predictive modelling’s full integration into daily operations is still an ongoing endeavour for many organisations.
Watch this webinar to learn how predictive modelling can refine your understanding of complex processes and products, enabling smarter, data-informed decisions. This session is ideal for scientists and engineers in the pharma, biotech, chemical, and other process industries.
You will learn how to:
• Screen through multiple models to find the one that best fits your data.
• Train and validate your model to avoid overfitting.
• Extract key components that shape your curves for more accurate predictions.
• Clearly visualize the cause and effect of your factors to your responses.
• Deepen your process understanding and find the optimal factor settings for your processes.
Key takeaways:
• Explore your data: Learn techniques to extract insights and speed up problem solving.
• Optimizing outcomes: Discover how systematic adjustments can significantly reduce production challenges and improve yields.
• Roadmap to expertise: Chart your progress with mastering sophisticated predictive modelling capabilities.
Presenter:
Owen Jonathan is an Associate Systems Engineer at JMP. His role involves identifying critical business issues of UK customers and guiding them in adopting data-driven solutions within their organisations. Prior to joining JMP, Owen obtained a master’s degree in systems and synthetic biology from Imperial College London. He first joined JMP as an intern, where he identified DOE applications in the field of biotechnology and delivered DOE workshops with relevant case studies to synthetic biologists.
This session is designed for forward-thinking engineers and scientists eager to utilize advanced analytical techniques to boost operational efficiency and impact strategic decisions.
2nd July 2024