

Industrial AI Podcast
Robert Weber / Peter Seeberg
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 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.
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.
Episodes
Mentioned books

Sep 20, 2023 • 33min
A LLM as co-pilot for robotic components
In this episode, Robert Weber spoke with Patrick Heimburger and Ismail Shoukry from robotics builder Fruitcore Robotics about LLMs, the robotics co-ciplot and the simplified handling of components such as cameras.
Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co.
We thank our partner Siemens
More about Fruitcore Robotics
https://www.fruitcore-robotics.com/en/horstos-ai-copilot
Thanks to Women in AI and Robotics (more)
PLEASE fill out the survey from Gabriel Krummenacher and the ETH Zurich
https://www.zuehlke.com/en/machine-learning
We thank our team:
Barbara, Anne and Simon!

Sep 13, 2023 • 43min
Robustness and generalization performance of Deep Learning Models on Cyber-Physical Systems
We are back from the summer break. In this episode, Peter Seeberg talks to Prof. Dr. Oliver Niggemann about his study Robustness and Generalization Performance of Deep Learning Models on Cyber-Physical Systems.
Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co.
We thank our partner Siemens
Olivers Paper: https://arxiv.org/abs/2306.07737
Thanks to Women in AI and Robotics (more)
PLEASE fill out the survey from Gabriel Krummenacher and the ETH Zurich
https://www.zuehlke.com/en/machine-learning
We thank our team:
Barbara, Anne and Simon!

Aug 23, 2023 • 4min
A silent night in Berlin
We still have something for the summer break. Tristan has composed again with the AI. Metropolis Night!
Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co.
Thanks to Tristan Behrens - more AI music (here)
We thank our partner Siemens
Thanks to Women in AI and Robotics (more)
PLEASE fill out the survey from Gabriel Krummenacher and the ETH Zurich
https://www.zuehlke.com/en/machine-learning
We thank our team:
Barbara, Anne and Simon!

Aug 16, 2023 • 32min
Porsche combines bayesian networks with modern approaches to optimize production planning
Simon Dürr from Porsche and Prof. Dr. Marco Huber discuss the optimization of production planning using Bayesian networks. They delve into incorporating customer behavior and market variations, the creation and reinforcement learning of network structures, and the challenges of implementation in a large organization. They also highlight the importance of plant orders and the potential application in other industries.

5 snips
Aug 9, 2023 • 27min
Are you working on a Siemens LLM? "We do!"
In this episode, Peter and Robert talk to the CTO of Siemens: Peter Körte. It's about industrial grade LLMs, bread and butter business with AI, regulation and use cases.
Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co.
We thank our partner Siemens
Thanks to Women in AI and Robotics (more)
PLEASE fill out the survey from Gabriel Krummenacher and the ETH Zurich
https://www.zuehlke.com/en/machine-learning
We thank our team:
Barbara, Anne and Simon!
Our guest: Peter Körte

Aug 2, 2023 • 58min
Women in AI & Robotics: What role can AI play in robotics safety?
We spoke with Prof. Georgia Chalvatzaki from TU Darmstadt about safety, robot perception, LLMs and models for robotics.
Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co.
We thank our partner Siemens
Thanks to Women in AI and Robotics (more)
PLEASE fill out the survey from Gabriel Krummenacher and the ETH Zurich
https://www.zuehlke.com/en/machine-learning
We thank our team:
Barbara, Anne and Simon!
Our guest: Prof. Georgia Chalvatzaki

Jul 26, 2023 • 35min
Realtalk: Industrial AI, LLMs and demand forecasting for retailers and intralogistics
Helmut Prieschenk, CEO from WITRON, and Franziskos Kyriakopoulos, founder of 7LYTIX from Linz, discuss ChatGPT, machine learning in logistics and demand forecasting for food retail.
Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co.
PLEASE fill out the survey from Gabriel Krummenacher and the ETH Zurich
https://www.zuehlke.com/en/machine-learning
We thank our partner Siemens
We thank our team:
Barbara, Anne and Simon!
Our guests:
Helmut Prieschenk (more)
Franziskos Kyriakopoulos (more)

5 snips
Jul 19, 2023 • 36min
Why everyone in the industrial sector should use/try code interpreter maybe for predictive quality.
We take a brief look back at our "AI in the Alps" event. Afterwards, Prof. Dr. Marco Huber from Fraunhofer IPA explains to us why he worked with the Code Interpreter all weekend and what the approach could mean for AutoML.
Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co.
We thank our partner Siemens
Do not forget our event AI in the forest together with Hannover Messe. Our main topics: AutoML and TabPFN with Prof. Dr. Frank Hutter and his team. Feel free to contact us, if you are interested robert@aipod.de
Our guests:
Prof. Dr. Marco Huber (more)

Jul 12, 2023 • 50min
Object-Centric Process Mining
Wil van der Aalst, professor at RWTH Aachen University and the "godfather of Process Mining" gives an introduction into Process Mining and next explains what Object-Centric Process Mining is.
Wil van der Aalst, professor at RWTH Aachen University and the "godfather of Process Mining" gives an introduction into Process Mining and next explains what Object-Centric Process Mining is.
Shownotes:
Wil will be giving a keynote at Machine Learning Week Europe, In Berlin, November 15 + 16:
Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co.
We thank our partner Siemens
Our guests:
Wil van der Aalst

Jul 5, 2023 • 49min
Women in AI & Robotics: Can truly reliable DL models exist on given hardware systems at all?
We are very proud to present the first edition of Women in AI & Robotics. Sheila Beladinejad's first guest is Prof. Dr. Gitta Kutyniok from LMU Munich. Gitta asks the question: can truly reliable DL models even exist on given hardware systems?
Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co.
We thank our partner Siemens
We thank our team:
Barbara, Anne and Simon!
Shownotes:
Startup Funding (check out)
Our guest:
Prof. Dr. Gitta Kutyniok (check out)


