Episodios

  • The OPC UA MCP Server
    Oct 1 2025
    In this episode, I sit down with Armin Hadzalic to tackle the burning question: will the Model Context Protocol (MCP) truly transform industrial AI? We dive deep into how MCP connects large language models and agents to real-world data, what makes it different from protocols like OPC UA and MQTT, and why the biggest players in tech are rallying behind it. Armin shares practical examples, addresses skeptics, and explains what MCP means for engineers, technicians, and anyone working in industrial automation. If you're curious about the rise of agents, the future of dashboards, and what it takes to stay ahead in the evolving world of industrial AI, you won't want to miss this conversation. Join me as we explore where MCP is headed and what it could mean for your job and your factory.
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    46 m
  • From parades to protocols and AI literacy
    Sep 24 2025
    In this episode, we dive into the evolving landscape of industrial AI, starting with a lively Oktoberfest recap before shifting gears to the latest breakthroughs in physics-informed neural networks and user interfaces. We discuss the real-world impact of Europe's AI Act, featuring insights from industry leaders and an in-depth interview with Sampo Leino of MinnaLearn on building AI literacy for enterprises. As we unpack strategic investments, robotics trends, and the challenges of compliance, we question what it means to use AI safely and competitively. Throughout the conversation, we keep it grounded in everyday experience—how regulation, technology, and practical learning are shaping the factories and workplaces of tomorrow. Tune in to hear how we’re navigating this complex, fast-moving frontier and what it means for anyone working with AI today.
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    56 m
  • Industrial AI Hardware: "CUDA was the last 15 years"
    Sep 17 2025
    In this episode, I sit down with Jens Stapelfeldt, Global AI Lead at AMD's University Program, to explore how AMD is challenging the status quo in AI hardware. We dive into the evolution from proprietary ecosystems to AMD's open, enterprise-ready platforms, discussing what this means for industrial AI applications and decision makers. Jens shares insights on AMD’s broad AI portfolio, from GPUs to edge solutions, and how strategic collaborations are accelerating innovation. We also examine the significance of open-source principles and the impact of diverse hardware options on industrial use cases. Join me as we uncover why AMD positions itself as the most versatile player in the AI space, from edge devices all the way to the cloud.
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    19 m
  • The AI Race for new Materials
    Sep 10 2025
    In this episode, we dive into the rapidly evolving world of AI-driven material discovery with Victor Schmidt, tracing his journey from research at Mila in Montreal to launching a cutting-edge startup in Paris, Entalpic. We explore how generative models and graph neural networks are reshaping the way we discover new materials, with a focus on environmental impact and sustainable industry. I discuss the challenges of bridging domain expertise with machine learning and how 'research as a service' is opening new doors for industrial innovation. Paris emerges as a vibrant AI hub, and we uncover what makes its ecosystem unique for startups and researchers alike. If you're curious about the intersection of AI, chemistry, and entrepreneurship, this conversation is packed with insights and forward-looking ideas.
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    50 m
  • AI Agents in Engineering
    Aug 13 2025
    Peter Seeberg talks to Ram Seetharaman, Head of AI & Product Manager at Synera about Building your first digital engineer.
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    53 m
  • The future of CAD - an Indian Perspective
    Aug 6 2025
    Pravin Waghmare is the CEO of Prescient from Pune. Magnus from Sandvik gave us the tip to talk to him about AI and CAD.
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    24 m
  • The sleeping giant awakens - Industrial AI education in India
    Jul 30 2025
    What is happening in the field of industrial AI in India? An entire generation of young people is striving to enter this new field. We wanted to know: What does the training look like?
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    47 m
  • How Audi uses LSTM in resistance spot welding
    Jul 23 2025
    With the help of artificial intelligence, Audi analyzes around 1.5 million weld points on 300 vehicles per shift at its Neckarsulm site. By way of comparison, employees in production previously monitored the quality of the processes involved in resistance spot welding (WPS) manually on a random basis using ultrasound, checking just over 5,000 weld spots per vehicle. Thanks to the use of AI, employees can now concentrate on potential anomalies and thus check quality even more efficiently and in a more targeted manner.
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    50 m