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Industrial AI Podcast

Latest episodes

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Jun 14, 2023 • 22min

Supply Chain and Industrial AI - from prediction to prescriptive

Sascha Bütterling has over 20 billion data points per month. He and his team at Supplyframe have built a model from this and can make predictions about availability, delivery times or prices for electrical components. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner Siemens Our guest: Sascha Bütterling (check out)
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Jun 7, 2023 • 41min

Is Google the new Xerox? And Industrial AI trends from IoT Analytics

In the news section we have a lot of interesting announcements from Google/Alphabet. In the main part Robert talks to Knud Lasse Lueth from IoT Analytics about trends in Industrial AI and clarifies the question why companies are advertising fewer AI jobs. 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 & Robotics: Check out https://www.womeninairobotics.de/ The Intrinsic podcast (check out) More on Google (check out) Our guest: Knud Lasse Lueth more
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May 31, 2023 • 47min

Timeseries data and ChatGPT? Limits of LLMs in industrial applications

Peter Seeberg talked to Hanna Behnke from Merantix Momentum about LLMs, industrial use cases, prompting and finetuning of the models. 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. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our new partner Siemens Thanks to Women in AI & Robotics: Check out https://www.womeninairobotics.de/ Our guests: Hanna Behnke more
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May 24, 2023 • 39min

China, patents and Industrial AI

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 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 and play it out through our podcast. In the episodes, women will present their technologies, approaches, and use cases. We are very much looking forward to the collaboration. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our new partner Siemens Thanks to Women in AI & Robotics: Check out https://www.womeninairobotics.de/ Our guests: Sheila Beladinejad more Michael Kühne-Schlinkert more
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May 17, 2023 • 53min

Requirements engineering for Machine Learning

Peter Seeberg talked to Markus Borg from Sweden. Their topic: Requirements Engineering for Machine Learning projects. Markus shared his approaches and ideas with us. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our new partner Siemens Our guest: Markus Borg (more) Shownotes: The article Markus mentioned (more)
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May 10, 2023 • 51min

The future of transformers and RNNs, Open Source an AI, LLMs for OPC UA and LLMs with memory

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. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our new partner Siemens Our guest: Prof. Dr. Günter Klambauer, JKU Linz (more) Shownotes: OPC Foundation Podcast (more) Godfather and father of AI discussion (more) OPC UA and LLMs (more) Open Source and AI (more)
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May 3, 2023 • 48min

Building AI algorithms for marble-, packaging- and cnc-machines

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. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our new partner Siemens Our guest: Daniele Gamba (His LinkedIn Profile)
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Apr 26, 2023 • 39min

Aleph Alpha, HPE and the industrial robot

We were at the Hannover Messe. One highlight was our Industrial AI event with many use cases, but we also talked about the elephant in the room: LLMs and Industrial Use Cases. There's a little summary in this episode. 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 Our guests: Iveta Lohovska Andy Longworth Erik Scepanski
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10 snips
Apr 19, 2023 • 34min

The legeslative lasagne: AI Act

Next week, the European Parliament will make its recommendations on the AI Act. Reason for us to discuss it with AppliedAI. 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 The risk classification database https://bit.ly/3KdYFTB Our guest: [Dr. Andreas Liebl] (https://www.linkedin.com/in/dr-andreas-liebl/?originalSubdomain=de) Our guest: [Dr. Till Klein] (https://www.linkedin.com/in/tillklein/?originalSubdomain=de)
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Apr 12, 2023 • 1h 6min

What is data centric AI and why is it important for industrial AI?

The podcast explores topics like data quality, robustness in AI, and the data centric approach. It also covers discussions on Amazon's dataset, interviews with AI experts like LeCun and Andrew Ng, and the importance of data in industrial AI solutions.

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