10:00-10:15: Opening remarks
10:15-11:15: Keynote speech: "Scaling Innovation: Integrating Data Science into Engineering Workflows "
Today's engineering challenges no longer require localized solutions and require scalable and flexible tools to incorporate data science techniques into data analysis workflows.
The JMP suite of products provides a powerful platform for statistical analysis, process optimization, and data visualization, creating an environment where engineers can thrive beyond everyday problem solving. This session will explore how JMP supports engineering data science, focusing on tackling complex, large-scale problems.
This session will explore how JMP addresses diverse needs, highlighting tools such as data access, process screening, environmental monitoring, group analysis, model and response screening, and integration with JMP Live. Through specific examples and demonstrations, this session will show how these capabilities fit into the engineering workplace, contributing to improved decision-making and faster innovation.
This session will also be a valuable opportunity to discuss the evolving relationship between engineers and data science. Rethinking workflows and leveraging new statistical methods will address fundamental challenges in manufacturing, product design, and quality engineering. Together, we will explore how software can foster collaboration, manage complexity, and build a robust analytical ecosystem for the next generation of engineering data science.
