In this episode, Sam talks with Peter Koerte, member of the managing board and chief strategy and technology officer of Siemens, about how industrial AI is quietly transforming the infrastructure that powers everyday life.
While consumer AI grabs headlines, Peter explains how artificial
intelligence is improving factories, transportation systems, energy
grids, and buildings behind the scenes. The conversation explores what
makes industrial AI different — from the need for near-perfect accuracy
to the challenge of working with proprietary, domain-specific data.
Peter shares examples like predicting train door failures days in
advance, optimizing building energy use, and accelerating complex
engineering simulations. Peter and Sam also discuss the importance of
domain expertise, the value of data-sharing partnerships across
companies, and why transformation is as much about people and workflows
as it is about technology. Read the episode transcript here.
Guest bio:
As a member of the managing board, chief strategy officer, and chief
technology officer of Siemens, Peter Koerte is responsible for
developing the company’s strategy and leading its worldwide research and
development activities. His current priorities include accelerating
development of innovative sustainable technologies and continuing
development of the Siemens Xcelerator business platform.
Koerte previously headed Digital Health, a Siemens Healthineers unit
that develops AI-supported diagnostic procedures for health care. He
joined the corporate strategy side of the company in 2007 after working
for the Boston Consulting Group. Koerte holds a master’s degree in
business and engineering from the Karlsruhe Institute of Technology and a
doctorate in strategy and international management from the WHU-Otto
Beisheim School of Management. He also completed the General Management Program at Harvard Business School.
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