エピソード

  • Agentic Process Automation for Industrial Applications
    2024/11/06
    In a fascinating conversation, Dr. Christian Gilcher guides us through the differences between RPA (Robotic Process Automation) and the more advanced APA approach, which uses AI agents to dynamically manage complex processes in a compliant and efficient manner. They discuss how APA not only solves cost and capacity issues in regulated industries but also provides an innovation boost within the industry. A highlight: APA’s potential goes far beyond optimization, paving the way for entirely new industrial processes in the future.
    続きを読む 一部表示
    47 分
  • ASML: AI defined machines
    2024/10/30
    We talk about AI research at ASML, new generations of machines, federated learning, MLOps and many more topics. In the news part Peter Seeberg and Robert Weber discussed the RosCon, NVIDIAs show and Microsoft´s engagement in Germany, Honeywell and Siemens.
    続きを読む 一部表示
    43 分
  • AI at the Danube
    2024/10/23
    From explainable AI to organizing massive AI projects, this isn’t just about tech; it’s about solving real-world challenges. Listen in as they share candid discussions, lessons learned, and visions for the future, all without the buzzword hype—just real insights from people making AI work in industry. 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 event in January in Frankfurt ([more](https://www.hannovermesse.de/de/rahmenprogramm/special-events/ki-in-der-industrie/))
    続きを読む 一部表示
    30 分
  • Trumpf's AI education offensive
    2024/10/16
    He explains the need for widespread AI knowledge across departments to enable data-driven innovation, starting with young apprentices and dual-study students. Ottnad highlights the importance of understanding data quality, hands-on experience, and interdisciplinary collaboration. 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 event in January in Frankfurt ([more](https://www.hannovermesse.de/de/rahmenprogramm/special-events/ki-in-der-industrie/)) Our guests are [Dr. Jens Ottnad](https://www.linkedin.com/in/dr-jens-ottnad-9b308418b?originalSubdomain=de)
    続きを読む 一部表示
    58 分
  • AI Nobel Prizes and will XAI become mandatory for Industrial AI?
    2024/10/09
    The basis for the discussion is a paper by Prof. Dr. Marco Huber, which was published a few weeks ago: How should AI decisions be explained? Requirements for Explanations from the Perspective of European Law. 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 event in January in Frankfurt ([more](https://www.hannovermesse.de/de/rahmenprogramm/special-events/ki-in-der-industrie/)) Our guests are [Marco Huber ](https://www.linkedin.com/in/marco-huber-78a1a151/) and [Tom Cadera ](https://www.linkedin.com/in/tom-cadera-05948636/) #machinelearning #ai #aimodel #industrialautomation #manufacturing #automation #genai #datascience #mlops #llm #IndustrialAI #artificialintelligence #Safety #NVIDIA #xLSTM #IndustrialAI #bluecollar #Transformer #HPE #Compute #Hardware #robotics #vision #PLC #Automation #Robotics #IndustrialAIPodcast #Vanderlande #Warehouse #Logistics #XAI #FraunhoferIPA
    続きを読む 一部表示
    56 分
  • Vanderlande: How Industrial AI Is Transforming Warehouses
    2024/10/02
    Bas shares insights on how AI is enhancing control rooms, optimizing operational workflows, and addressing challenges like data sharing. The discussion also explores future trends, including the potential of AI-based simulation and reinforcement learning for fully automated warehouses. 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 event in January in Frankfurt ([more](https://www.hannovermesse.de/de/rahmenprogramm/special-events/ki-in-der-industrie/)) Our guest is [Bas Coenen ](https://www.linkedin.com/in/samcoenen/) #machinelearning #ai #aimodel #industrialautomation #manufacturing #automation #genai #datascience #mlops #llm #IndustrialAI #artificialintelligence #Safety #NVIDIA #xLSTM #IndustrialAI #bluecollar #Transformer #HPE #Compute #Hardware #robotics #vision #PLC #Automation #Robotics #IndustrialAIPodcast #Vanderlande #Warehouse #Logistics
    続きを読む 一部表示
    1 時間 15 分
  • Multi-Agent System for Simulation Model Parametrization in Digital Twins
    2024/09/25
    Xia is doing his doctorate at the University of Stuttgart at the Institute for Industrial Automation and Software Engineering. He investigates how to apply the LLM reasoning capability to make the simulation models more intelligent. Based on our research exploration, he proposed a concept design consisting of LLM-agents system and digital twins to enhance the intelligence and user-friendliness of industrial software systems.
    続きを読む 一部表示
    58 分
  • Industrial AI - "Siemens, we want a managed service"
    2024/09/18
    Rainer Brehm is the CEO of the Factory Automation Business Unit at Siemens. His team is behind the Industrial Copilot. We talk to Rainer about the monetization of GenAI, development challenges, price-sensitive customers and the next stage of development towards AI 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 event in January in Frankfurt ([more](https://www.hannovermesse.de/de/rahmenprogramm/special-events/ki-in-der-industrie/)) Our guest is [Rainer Brehm ](https://www.linkedin.com/in/rainer-brehm/) #machinelearning #ai #aimodel #industrialautomation #manufacturing #automation #genai #datascience #mlops #llm #IndustrialAI #artificialintelligence #Safety #NVIDIA #xLSTM #IndustrialAI #bluecollar #Transformer #HPE #Compute #Hardware #robotics #vision #PLC #Automation #Robotics #IndustrialAIPodcast
    続きを読む 一部表示
    48 分