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Part of the ENBIS-26 Florence conference.
Volker Kraft, PhD (JMP)
Winfried Theis (Kufuu Consulting)
Generative AI is rapidly changing how learners choose methods, run analyses, and interpret results — but what actually works in practice, and where do both humans and AI still stumble? In this post-conference, hands-on usability lab, participants will explore AI-supported statistical discovery in JMP using three free JMP Marketplace add-ins: Data Analysis Director (rule-based guidance to appropriate methods), LearnBot (AI tutoring), and the Assistant (help with running and interpreting analyses).
Structured as a “sandbox” usability lab, the session alternates short demos with guided testing. Attendees will try realistic teaching and applied scenarios, intentionally introduce common pitfalls (messy data, wrong assumptions, mis-specified questions, overconfident interpretations), and compare how different AI guidance styles behave. We’ll capture observations on when AI accelerates learning and insight, where it introduces friction or bias, how users calibrate trust, and what guardrails and classroom practices help most. The workshop concludes with a debrief and a take-home checklist for responsible AI-supported discovery and analysis.

Volker Kraft is Senior Academic Ambassador for JMP in Europe, fostering and supporting the use of JMP in teaching and research. He holds a Ph.D. in Electrical Engineering (University Bochum, Germany), and used statistical methods extensively in his research in psychoacoustics and speech communication. In later positions at Vodafone and Voxeo he developed a passion for customer advocacy, developing and supporting programmes to foster the effective use of software in business. Drawing on this experience and the success of JMP's Academic Program globally, Volker is charged with enabling teachers, faculty and students in Europe who are interested in JMP to get the most from the software.