Live In-Person Event
Analytics for Everyone: Upskilling for the Digital Future
Join us for an enlightening, in-person event in St. Louis to discover how interactive analytics and visual data exploration allow scientists and engineers to remain at the center of innovation.
Date: Thursday, Sept. 29
Time: 2-5 p.m.
Venue: Schlafly Tap Room
Location: 2100 Locust Street
St. Louis, MO 63103
Registration: Free, but registration is required.
In a world shaped by AI, automation, and digital transformation, technology alone is not enough. The organizations achieving the greatest success are those that empower scientists and engineers with the skills, tools, and methodologies needed to turn data into confident decisions and breakthrough innovations.
Join us for a two-part event to learn how modern analytics and design of experiments (DOE) can accelerate discovery, streamline workflows, improve collaboration, and drive innovation from R&D through to manufacturing. Whether you're advancing AI initiatives, pursuing Industry 4.0 strategies, or looking to improve product and process development, you'll gain practical techniques you can apply immediately.
Refreshments provided courtesy of JMP.
Agenda
2:00-2:30 p.m.
Registration and networking
2:30-3:30 p.m.
Upskilling Analytics for the Digital Era
As AI and automation become increasingly integrated into technical workflows, the role of the scientist and engineer is evolving. The future belongs to organizations that combine human expertise with powerful analytics, enabling teams to make faster, smarter, and more scalable decisions.
Discover how modern analytical approaches help organizations unlock the full value of their data through intuitive visualization, interactive exploration, and automated workflows that reduce manual effort while keeping experts at the center of decision making.
Topics include:
- The evolving role of scientists and engineers in an AI-enabled world.
- Building analytics skills that complement automation and AI initiatives.
- Interactive data exploration and visualization techniques for faster insight generation.
- Creating automated analytical workflows without extensive coding.
- Connecting and preparing data from multiple sources.
- Scaling insights across teams through digital workflows and knowledge sharing.
- Real-world manufacturing and engineering examples of analytics-driven transformation.
- Best practices for combining human expertise with machine-assisted decision making.
3:45-4:45 p.m.
Innovating with Design of Experiments
The ability to identify optimal conditions quickly and efficiently is a critical advantage in today's competitive R&D environment. Design of experiments (DOE) provides a proven framework for understanding complex systems, revealing key drivers of performance, and accelerating innovation with fewer experiments.
Learn how leading organizations use DOE to maximize learning, reduce development risk, and build robust products and processes that confidently scale from the lab to manufacturing.
Topics include:
- Moving beyond trial-and-error experimentation to a systematic DOE approach.
- Identifying the factors and interactions that most influence performance.
- Efficiently exploring complex design spaces while minimizing experimental effort.
- Maximizing learning from every experiment.
- Improving product and process robustness through data-driven experimentation.
- Using DOE to accelerate innovation and reduce development risk.
- Strategies for confident scale-up and technology transfer.
- Applying DOE to support manufacturing readiness and long-term process success.
4:45-5:00 p.m.