Porsche combines bayesian networks with modern approaches to optimize production planning

Industrial AI Podcast - A podcast by Robert Weber / Peter Seeberg - Thursdays

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We talk to Simon Dürr from Porsche and Prof. Dr. Marco Huber from Fraunhofer IPA. Simon was responsible for the project at Porsche and wrote his PhD thesis on it. Marco Huber was his supervisor and together they explain the approach. The project attracted a lot of attention within the company. With this episode, Peter and Robert say goodbye to the summer break. We will be back in September. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner [Siemens ](https://new.siemens.com/global/en/products/automation/topic-areas/artificial-intelligence-in-industry.html) Thanks to Women in AI and Robotics ([more](https://www.womeninairobotics.de/)) PLEASE fill out the survey from Gabriel Krummenacher and the ETH Zurich [https://www.zuehlke.com/en/machine-learning](https://www.zuehlke.com/en/machine-learning) We thank our team: Barbara, Anne and Simon!