Join Lukas Egger and Peter Temes as they reimagine work for the age of AI. Peter shares pilots of the Match platform that expand task diversity, promote self‑management, and use AI to match people to roles through micro‑credentials and human‑in‑the‑loop recommendations. Hear practical stories from warehouses to industrial plants, and learn how listening to workers, modular tasks, and career path planning boost retention, safety, and training outcomes. If you want actionable insight into adapting your workforce, this episode will inspire leaders to start with understanding people and to design flexible, humane systems for the future.
Founder & President of the ILO Institute
Peter began his career as a full-time member of the Harvard University Faculty of Arts and Sciences, and went on to found Enterprise Interactive, a consulting and research firm.
Peter has led research initiatives for Goldman Sachs, ExxonMobil, Microsoft, Disney, EY, Pfizer, GM’s autonomous vehicles group and many other companies in the technology, finance and consumer marketing sectors. Peter has also served as Dean and Campus Chief Executive for Northeastern University, President of the Antioch New England Graduate School and President of the Great Books Foundation.
He is the author and editor of several books, including Teaching Leadership, The Just War, and Against School Reform. Peter holds a Ph.D. and three master’s degrees from Columbia University.
Head of the Innovation Office & Strategic Projects team at SAP Signavio
Lukas leads a team of experts, steering innovation projects. His approach blends a strong technical understanding with a keen eye for product discovery and digital transformation. Lukas regularly contributes to discussions and panels, sharing his perspectives on AI, the digital zeitgeist, and philosophy. Lukas funded multiple startups, published a humorous philosophy book, and received silver screen quotation for special effects work for an animated movie.
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If you have questions or comments, email: processtransformers@sap.com
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