The Industrial AI Podcast reports weekly on the latest developments in AI and machine learning for the engineering, robotics, automotive, process and automation industries. The podcast features industrial users, scientists, vendors and startups in the field of Industrial AI and machine learning. The podcast is hosted by Peter Seeberg, Industrial AI consultant and Robert Weber, tech journalist. Their mission: Demystify Industrial AI and machine learning, inspire industrial users. The Industrial AI Podcast is a proud partner of the Women in AI & Robotics initiative. The hosts: Peter Seeberg is an Industrial AI and machine learning expert for the manufacturing industry. He worked over 25 years in IT (Intel) and 10 years in Automation. He co-initiated the Industrial Data Intelligence Startup (Softing) where he was responsible for managing machine learning projects in industrial environments. Today he advises companies when it comes to Industrial AI and machine learning. Together with Robert Weber, journalist for industrial topics, he discusses AI and ML applications, standards, and education topics, make or buy decisions as well as regulation for AI in manufacturing.
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episode 208: Porsche combines bayesian networks with modern approaches to optimize production planning
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!