Robert Weber / Peter Seeberg
Industrial AI Podcast
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 o...
Author
Robert Weber / Peter Seeberg
Category
Podcast website
Latest episode
Jul 8, 2026
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Episodes
Is Google the new Xerox? And Industrial AI trends from IoT Analytics 07.06.2023 41:00
We recorded the episode at the Siemens AI with purpose summit in May 23. In the news section we have a lot of interesting announcements from Google/Alphabet and in the main section Robert Weber talks to Knud Lasse Lueth from IoT Analytics about trends in Industrial AI and clarifies the question why companies are advertising fewer AI jobs. IoT Analytics is a leading global provider of market insigh...
Timeseries data and ChatGPT? Limits of LLMs in industrial applications 31.05.2023 47:00
Peter Seeberg talked to Hanna Behnke from Merantix Momentum about LLMs, industrial use cases, prompting and finetuning of the models. Hanna Behnke is Team Lead Machine Learning Project in Berlin. She explains a bit the LLMs architecure and dicsusses with Peter industrial application and the limits and the future of LLMs.
China, patents and Industrial AI 24.05.2023 39:21
In this episode, we talk to Michael Kühne Schlinkert of Katulu about patents in federated learning, how Chinese companies are strategizing in the patent space, and how he's trying to fight back. In the news, we're excited to announce a collaboration from the Industrial AI Podcast and the Women in AI and Robotics initiative. Once a month, only Sheila Beladinejad and her team will record an episode...
Requirements engineering for Machine Learning 17.05.2023 53:26
Markus wrote an interesting article about the topic. Machine learning (ML) is used increasingly in real-world applications. In this paper, we describe our ongoing endeavor to define characteristics and challenges unique to Requirements Engineering (RE) for ML-based systems. As a first step, we interviewed four data scientists to understand how ML experts approach elicitation, specification, and as...
The future of transformers and RNNs, Open Source an AI, LLMs for OPC UA and LLMs with memory 10.05.2023 50:49
We are looking into the future of Industrial AI. Our guest is Prof. Dr. Günter Klambauer from JKU Linz and we discuss the peak in LLMs, memory for LLMs and what the future of transformers looks like. In the news part we discuss the article about Jürgen Schmidhuber, talk about the leaked document about Open Source an AI and explain, how to use a LLM for OPC UA. Thanks for listening. We welcome sugg...
Building AI algorithms for marble-, packaging- and cnc-machines 03.05.2023 47:54
Peter Seeberg talked to Daniele Gamba. He is the CEO of AISent and they talked about different industrial AI use cases and why the Italian team develops their own algorithms. They discussed the topic of synthetic data for industrial applications. Daniele Gamba is also an Adjunct Professor of Machine Learning and a Forbes Under 30. He shares his industrial AI expierences with us. Thanks for listeni...
Aleph Alpha, HPE and the industrial robot 26.04.2023 38:46
Sepp Hochreiter and his "LSTM LLM" made it into the news. In addition Deepmind and Hans Beckhoff come to ChatGPT. In the main part, Robert Weber talks to Iveta Lohovska and Andy Longworth from HPE about their LLM and a robotics use case. Another guest is Erik Scepanski from Siemens. He explains the automation company's LLM approach to us. The podcast is growing and we want to keep growing. That's...
The legeslative lasagne: AI Act 19.04.2023 34:17
Our guests are Dr. Andreas Liebl and Dr. Till Klein. We discuss political issues, talk about regulation and LLMs and about their risk qualification database. The podcast is growing and we want to keep growing. That's why our German-language podcast is now available in English. We are happy about new listeners. We thank our new partner [Siemens ](https://new.siemens.com/global/en/products/automatio...
What is data centric AI and why is it important for industrial AI? 12.04.2023 1:06:10
In the main part Peter and Stefan Suwelack discusses the data centric AI approach which is also often featured by Andrew Ng. Stefan explains us, why this approach helps industrial companies and describes some use cases. We thank our new partner [Siemens ](https://new.siemens.com/global/en/products/automation/topic-areas/artificial-intelligence-in-industry.html) Amazon Dataset [more](https://www.am...
GPT for industrial use cases and LLMs on the edge 05.04.2023 23:45
Many customers would use LLMs primarily for knowledge management. He explains how this works in the podcast. The connection to own data sets is also a topic and at the end we look into the future and ask ourselves what LLMs can't actually do?
GPT plugins, Risk Classification Database for Industrial AI, farewell to G. Moore and Cybersecurity for ML Models 29.03.2023 46:54
Mirko is the CEO of asvin and we met him at the Festo IO Conference. In the news section, we talk about GPT and plugins, language models for industry, a new database around the AI Act, and Peter briefly looks back at his time with Gordon Moore. The podcast is growing and we want to keep growing. That's why our German-language podcast is now available in English. We are happy about new listeners. W...
Festo IO conference: What is Fetch.ai - a crypto, an ecosystem for ML or both? 22.03.2023 26:16
Bosch and Festo are part of the Fetch.ai network. Why? We talked about the topic with David Noack. We talk to him about decentralized machine learning, what role blockchain plays in this, and how German SMEs are reacting to it. The podcast is growing and we want to keep growing. That's why our German-language podcast is now available in English. We are happy about new listeners. We thank our new p...
Festo IO conference: MLOps is a buzzword, but... 15.03.2023 36:08
Samir Araújo de Souza works as a Principal AI/ML Solution Architect at AWS. We talked to him at the io.conference by Festo. He explains us their MLOps strategy and why AWS is investing in ML hardware. We had the pleasure of attending the io.conferene by Festo for two days and brought back some exciting presentations. Over the next few weeks, we'll be talking about models on the blockchain, the sec...
Due-diligence for industrial AI startups 08.03.2023 23:33
Franziskos Kyriakopoulos helps investors figure out if a company is really doing Industrial AI and what the quality of the data or the models are and if the business model works. He explains in the podcast how he does this and what role the AI Act plays. Franziskos Kyriakopoulos is the founder of the company 7LYTIX. He knows Machine Learning very well and is one of the thought leaders in the Linz...
Why do you call TabPFN a revolution for data science? 01.03.2023 49:55
Prof. Dr. Frank Hutter and his team presented a "radically new approach" to tabular classification. It is a new tabular data classification method that takes < 1 second & yields SOTA performance (competitive with the best AutoML pipelines in an hour). So far, it is limited in scale, though: it can only tackle problems up to 1000 training examples, 100 features and 10 classes. It works best when al...
Industrial AI and Motion Control - how do we reduce engineering time? 22.02.2023 34:03
Several conveyor belts transport chocolate bars: They are part of the demonstrator machine that shows how Artificial Intelligence can be used for motion control. What remains to be done in a real factory is to pack the chocolate bars – automated, of course. In this Intelligent Infeed Demonstrator machine from Siemens Digital Industries, the chocolate bars must be placed in evenly spaced slots on t...
LSTM for ABB's Augmented Operator 15.02.2023 57:58
In this episode we have three guests from ABB and talk about the augmented operator - what is it supposed to do, how was it built and where will it be used? One requirement is the LSTM algorithm. 25 years ago, Schmidhuber and Hochreiter developed the LSTM algorithm. The breakthrough came with the tech companies from Silicon Valley. But the automation industry also uses the approach. ABB developed...
How an Ex-MAN-employee uses reinforcement learning for factories 08.02.2023 27:47
Ramakrishna Nanjundaiah from Phantasma simulated the driving behaviour of vehicles. Now he wants to bring the knowledge to the shop floor. Reinforcement learning is supposed to make factories more efficient. He explains to us in the podcast how this is to be done. The podcast is growing and we want to keep growing. That's why our German-language podcast is now available in English. We are happy ab...
SDK for machine learning on the edge 01.02.2023 23:54
We have a new podcast partner and say thank you to Hannover Messe. We will be there again this year. Our Even starts on the second day of the fair. More about that when Peter is back. Peter is on holiday and so Robert looks ahead to February. This month we talk about reinforcement learning for production, ABB's augemented operator and a Siemens project. The podcast is growing and we want to keep g...
More than an interface for open source AI-tools - what is AIUI? 25.01.2023 36:11
Martin explains his approach and describes how his solution differs from an Auto ML tool. In the news we talk about the new AI Powerhouse Amsterdam, our event in the Alps and briefly about ChatGPT. The podcast is growing and we want to keep growing. That's why our German-language podcast is now available in English. We are happy about new listeners. We thank our new partner [Siemens](https://new.s...
IABG: How to safeguard AI? 18.01.2023 39:36
Dr. Lukas Höhndorf is Program Manager AI Conformity Assesment. IABG (Industrieanlagen-Betriebsgesellschaft mbH) is a German analysis and testing services company based in Ottobrunn near Munich. The company focuses on the automotive, aerospace, defence and security industries. The podcast is growing and we want to keep growing. That's why our German-language podcast is now available in English. We...
What is Volkswagen's AI research working on? 11.01.2023 1:14:01
Shortly before the end of 2022, we met with Patrick van der Smagt. He is Director of AI Research at VW Group. We discuss foundation models, PRISM, its research topics this year and etami. Find out what that is in the podcast conversation. In the news section, we talk about ChatGPT, and also let Gary Marcus have his say. Important note: Siemens' AI with Purpose Summit will take place in Munich on 1...
The Festo AI strategy on products and processes 21.12.2022 1:09:29
We spoke with Jan R. Seyler, Director Adv. Dev. AI and Controls at Festo, about generative AI, reinforcement learning and the role AI will play in the development of products and processes at Festo. In addition, we talk about the two worlds of AI and we companies bringing them together. And of course Jan explains to us the role of AI in robotics and how humans and machines will work together in th...
NeurIPS Special - more than ChatGPT 14.12.2022 19:19
We talk about ChatGPT and why Deep Learnings s***s, what new pradigms have been introduced by Geoff Hinton and Yann LeCun and what he thinks of the developments. The podcast is growing and we want to keep growing. That's why our German-language podcast is now available in English. We are happy about new listeners. We thank our new partner [Siemens](https://new.siemens.com/global/en/products/automa...
How do you make data accountable? With an AI model. 07.12.2022 19:41
Michael Welsch is a mechanical engineer. His approach makes data accountable. A neural network learns to decompose and reconstruct a company's data lake, which it can only do if it learns to model the inner relationships step by step. The AI software is then capitalized on the company's balance sheet as a proxy for the actual data lake. Welsch presented his idea to some auditors and large accounti...
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