10:00～10:15：Opening remarks
10:15～10:30：John Sall's vision and future of JMP
10:30-11:00: 10 Useful JMP Features You Should Know About
Today's engineering challenges can no longer be addressed with localized solutions alone. There is a need for scalable and flexible tools to integrate data science methodologies into data analysis workflows.
The JMP product suite provides a powerful platform for statistical analysis, process optimization, and data visualization, creating an environment where engineers can go beyond solving everyday problems. This session will focus on tackling complex and large-scale problems, delving into how JMP supports engineering data science.
In addition, we will focus on tools such as data access, process screening, environmental monitoring, group-based analysis, model and response screening, and integration with JMP Live, explaining how JMP addresses diverse needs. Through concrete examples and demonstrations, we will show how these capabilities fit into engineering environments and contribute to improved decision-making and accelerated innovation.
This session also offers a valuable opportunity to discuss the evolving relationship between engineers and data science. By rethinking workflows and leveraging new statistical methods, we can address fundamental challenges in manufacturing, product design, and quality engineering. Together, we will explore how software can facilitate collaboration, manage complexity, and build a robust analytics ecosystem for the next generation of engineering data science.
