250 episodes

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.

Industrial AI Podcast Pixel Komma Ton

    • Technology

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.

    Do we need a "Simulink" for GenAI Systems?

    Do we need a "Simulink" for GenAI Systems?

    Prof. Dr. Jakub Tomczak published a sensational article on GenAI Systems a few weeks ago. We immediately realised that he had to explain it to us. His outlook: The idea of using LLMs as a backbone for Operating Systems and agents as applications has attracted a lot of attention. Here, we consider general systems with various GenAI-based components, not only LLM-based compartments. Either way, moving towards GenAI-based (operating) systems seems like the future, and the next step of cloud-based systems. Indeed, GenAISys can be deployed locally, but also in a cloud server; or as a hybrid (e.g., a GeM, a cache storage, and DEs are local but external tools and storage are in a cloud). The last option can be especially appealing for manufacturing since all real-life operations must be executed in real-time while data storage and other operations are carried out by external services (or agents).

    Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co.

    We thank our partner **SIEMENS**
    https://www.siemens.de/de/

    Our guest is [Jakub Tomczak](https://www.linkedin.com/in/jakub-tomczak-04305314a/)

    We highly recommend his [short article ](https://jmtomczak.github.io/blog/21/21_genaisys.html)

    #machinelearning #ai #aimodel #industrialautomation #manufacturing #automation #genai #datascience #mlops #llm #IndustrialAI #artificialintelligence

    • 1 hr 5 min
    Industrial AI Hardware: Shadow Robot Company

    Industrial AI Hardware: Shadow Robot Company

    Shadow's robotic hand is in high demand - among others at Google DeepMind - but the British company wants to scale its hand and is also eyeing other markets. In the podcast, Rich Walker explains what role AI plays in this and why he is happy with hardware.

    Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co.

    We thank our partner **SIEMENS**
    https://www.siemens.de/de/

    Our guest is [Rich Walker](https://www.linkedin.com/in/walkerrich/)

    #machinelearning #ai #aimodel #industrialautomation #manufacturing #automation #genai #datascience #mlops #llm #IndustrialAI #artificialintelligence

    • 24 min
    Generate Data for a GenAI Design-Approach

    Generate Data for a GenAI Design-Approach

    Peter and Robert report on their highlights from the AI with Purpose Summit and feature some topics that will be published in the coming weeks. For Robert, Rainer Brehm's ‘Industrial Copilot’ development journey was the highlight of the event. Peter spoke to NXAI and Rocket Science. And this is what the event host says? Boris Scharinger shares his impressions with us.

    In the main section, we learn from the shipping industry how GenAI can be used to develop fundamentally new designs. Our guest: Shahroz Khan from Bar Technologies.

    Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co.

    We thank our partner **SIEMENS**
    https://www.siemens.de/de/

    Some Links

    Embraceable AI [more](https://embraceable.ai/)
    Rocket Science [more](https://www.rocket-science.ch/press-releases)
    NXAI [more](https://www.nx-ai.com/de)

    Our guest [Shahroz Khan ](https://www.linkedin.com/in/shahrozkhan2020/)
    Our guest [Boris Scharinger ](https://www.linkedin.com/in/borisscharinger/)

    #machinelearning #ai #aimodel #industrialautomation #manufacturing #automation #genai #datascience #mlops #llm #IndustrialAI #artificialintelligence

    • 54 min
    Industrial AI: Time Series, ick hör dir trapsen

    Industrial AI: Time Series, ick hör dir trapsen

    In this episode we talk about Timeseries and in the main part Prof. Dr. Marco Huber from IPA and Marc Zöller from GFT explain how their Timeseries AutoML tool works. In the news part we offer an an overview from Statistical (ARIMA) through ML (Random Forest, gradient boosting, ...), Neural Networks (LSTM), AutoML and lately Transformers approaches.

    Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co.

    We thank our partner **SIEMENS**
    https://www.siemens.de/de/

    xLSTM Github ([mehr](https://lnkd.in/eG3HWJrs))
    auto-sktime ([mehr](https://github.com/Ennosigaeon/auto-sktime))

    Our guest [Marco Huber ](https://www.linkedin.com/in/marco-huber-78a1a151/)
    Our guest [Marc Zöller ](https://www.linkedin.com/in/marc-zoeller/)

    #machinelearning #ai #aimodel #industrialautomation #manufacturing #automation #genai #datascience #mlops #llm #IndustrialAI #artificialintelligence #sklearn

    • 42 min
    AWS: Combine traditional ML use cases and GenAI

    AWS: Combine traditional ML use cases and GenAI

    Robert Weber met Danny at Harting's IoT Week. A discussion quickly broke out about the future of European start-ups in the field of industrial AI. Unfortunately, the conversation was not recorded. That's why we tried again and arranged a recording date. We talked about AI models, data, use cases and the role of AWS.

    Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co.

    We thank our partner **SIEMENS**
    https://www.siemens.de/de/

    Our guest [Danny Smith ](https://www.linkedin.com/in/bdannysmith/)

    • 20 min
    How Continental identifies industrial AI use cases

    How Continental identifies industrial AI use cases

    To identify AI use cases is always a big topic, when discussing industrial AI. Our guest is Dubravko Dolic will help us. He is the Global Team Lead Applied Analytics & AI at Continental Tires. He explains the Continental approach to identify AI use cases. But Dubravko also explains his favorites Industrial AI use cases at Continental.

    Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co.

    We thank our partner **SIEMENS**
    https://www.siemens.de/de/

    Our guest [Dubravko Dolic ](https://www.linkedin.com/in/dubravko-dolic/)

    • 49 min

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