Episodios

  • The Race for a Billion

    The Race for a Billion
    Jan 7 2026
    In this episode, we dive into the ambitious European initiative offering up to one billion euros to fuel the next wave of AI innovation. I sit down with Johannes Otterbach, the so-called "billion euro man," to discuss how SPRIND is bridging the gap between research and industry, and what it really takes to launch a world-class AI lab in Europe. We explore the challenges of scaling, the importance of industrial-grade AI, and why Europe's unique landscape demands new strategies for success. Along the way, you'll hear our candid thoughts on talent, technology, and the future of frontier AI. If you're curious about the intersection of ambitious funding, cutting-edge research, and industrial application, this conversation is for you.
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    44 m
  • From Charity to Taxpayer: Redefining Annotation

    From Charity to Taxpayer: Redefining Annotation
    Dec 17 2025
    In this episode, we dive into the world of responsible data annotation with Andreas Schachl, co-founder of Responsible Annotation Services. We explore how neurodivergent individuals—especially those on the autism spectrum—are bringing unparalleled focus and precision to the task of data labeling, raising the bar for AI model training quality. Andreas shares the origins of their company, the unique strengths of their team, and why European sovereignty and data protection matter more than ever. We discuss the practical steps involved in their annotation process, how they measure quality, and the real impact their work has on customers and the broader tech ecosystem. Join us for an insightful conversation that challenges assumptions and highlights how inclusive innovation is driving the next frontier in industrial AI.
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    35 m
  • When Cables Meet AI: Reinventing Robot Reliability

    When Cables Meet AI: Reinventing Robot Reliability
    Dec 10 2025
    In this episode, Robert sit down with Nick Tebeau from BizLink to explore how AI and machine learning are revolutionizing something as fundamental as cable management in industrial robotics. We dive into why predictive maintenance matters, how edge devices can deliver real-time insights, and what it takes to keep production lines running smoothly without ever touching the robot controller. You'll hear about the challenges of creating adaptable AI models for complex manufacturing environments and how customer needs are shaping the future of smart factories. If you're curious about the ROI of industrial AI, the realities of edge computing, or how even the simplest hardware can become a game-changer, this conversation is packed with practical takeaways and forward-looking ideas.
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    19 m
  • Why Robots Need an Ear: The Sound of Industry

    Why Robots Need an Ear: The Sound of Industry
    Dec 3 2025
    In this episode, we dive into why sound is the next big leap for AI in industry. I share insights from recent events, including the SPS exhibition and Europe's AI scene, and discuss why edge AI is outpacing the cloud on the shop floor. Then, I sit down with Dr. Finnur Pind from Treble Technologies to explore how synthetic sound data is powering smarter machines—from voice recognition in cars to giving robots a sense of hearing. You'll hear how simulating sound opens up new possibilities for robotics and spatial awareness, and why industries are racing to make AI models that can truly listen. We also touch on the unique AI startup scene in Reykjavik, the challenges of accurate sound modeling, and what the future holds for audio-driven innovation. Join us to discover why the future of industrial AI might just depend on what machines can hear.
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    46 m
  • Numerical Machine Learning: Where Physics Meets AI

    Numerical Machine Learning: Where Physics Meets AI
    Nov 26 2025
    In this episode, I sit down once again with Professor Oliver Niggemann to unravel the world of numerical machine learning—where traditional engineering meets cutting-edge AI. We explore real-world projects from diagnosing the International Space Station to designing safer bridges, smarter batteries, and even optimizing biodiversity. Oliver breaks down how fusing symbolic knowledge and neural networks is revolutionizing simulation, design, and problem-solving across industries. If you’ve ever wondered how AI can speed up material discovery or what the future holds for interdisciplinary engineers, this conversation is for you. We dive into the power of surrogate models, the evolution of engineering education, and why tomorrow’s innovations demand both deep technical expertise and creative collaboration. Join us for a look at the next frontier in industrial AI.
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    41 m
  • Physics and Causality in Robotics

    Physics and Causality in Robotics
    Nov 19 2025
    In this episode, we dig deep into the evolving landscape of industrial AI, from billion-dollar cloud partnerships in Europe to the fierce debate over digital sovereignty. We break down what sets 'sovereign by contract' apart from 'sovereign by origin,' and why this matters for companies navigating global AI strategies. We’re joined by Professor Stratis Gavves from the University of Amsterdam to unpack the world of robotics models and the critical role of physics-informed AI. Alongside the latest industry news—like SAP’s move into open-source models and the rise of edge AI—we explore what it takes to stay competitive in a rapidly shifting market. Join us as we question, challenge, and celebrate the innovations set to define the next era of industrial intelligence.
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    55 m
  • MathWorks and the evolution of AI in engineering

    MathWorks and the evolution of AI in engineering
    Nov 12 2025
    In this episode, I sit down with Richard Rovner, Vice President of Marketing at MathWorks, to explore the fascinating evolution of AI in engineering. We trace the technology’s journey from its early days in the 1980s, through transformative milestones like deep learning and code generation, all the way to today's AI-driven design tools and copilots. Richard shares insider perspectives on how AI is changing the engineer’s workflow, what generative AI means for the future, and why the human touch remains essential in a world of accelerating automation. If you’re curious about where engineering and AI are headed—or how to stay ahead in this rapidly shifting landscape—this conversation is packed with insights you won’t want to miss.
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    40 m
  • No GenAI without a Data Science Team

    No GenAI without a Data Science Team
    Nov 5 2025
    In this episode, we dive deep into the real-world state of AI adoption across industries, unpacking the findings of a major new survey with Gabriel Krummenacher. We explore which AI use cases actually move the needle—hint: operational efficiency tops the list—and why simply chasing the latest GenAI trends won't deliver results without a solid data science foundation. You'll hear our honest takes on what separates hype from impact, why ethical frameworks and governance drive innovation (not stifle it), and how US and European companies are taking very different paths with AI. If you're wondering where AI is truly transforming business—and what it really takes to succeed—this episode is for you.
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    46 m
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