Industrial AI Podcast

In this engaging discussion, Armin Hadzalic, a Senior Software Developer at Siemens, shares his insights on the transformative Model Context Protocol (MCP) for industrial AI. He explains how MCP connects large language models with real-world data and tackles the challenges of integrating multiple systems. Armin delves into the future of seamless production systems powered by agents and AI, while also addressing criticisms of MCP. With practical advice for engineers, he advocates for an early embrace of these technologies to stay ahead in an evolving industry.

From parades to protocols, we explore AI literacy, regulation, and the future of work. Discover how Europe’s AI Act is reshaping industry. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner SIEMENS 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 Lino 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. DeepMind https://www.deepmind.com/ Ray Kurzweil https://en.wikipedia.org/wiki/Ray_Kurzweil Physics-Informed Neural Networks (PINNs) https://www.nature.com/articles/s42254-021-00314-5 Olga Fink https://people.epfl.ch/olga.fink EPFL (École Polytechnique Fédérale de Lausanne) https://www.epfl.ch/en/ Model Context Protocol (MCP) https://github.com/modelcontext/protocol ABB Robotics https://new.abb.com/products/robotics Landing AI https://landing.ai/ Andrew Ng https://www.andrewng.org/ BMW Neue Klasse https://www.bmw.com/en/innovation/bmw-neue-klasse.html ASML https://www.asml.com/ NVIDIA https://www.nvidia.com/ Intel https://www.intel.com/ AMD https://www.amd.com/ Elements of AI https://www.elementsofai.com/ MinnaLearn https://www.minnalearn.com/ EU AI Act https://artificialintelligenceact.eu/ GDPR (General Data Protection Regulation) https://gdpr.eu/

Jens Stapelfeldt, Global AI Lead for AMD's University Program, discusses AMD's innovative approach to industrial AI. With decades of experience in the semiconductor industry, he outlines the shift from proprietary ecosystems to AMD’s open platforms. Jens highlights the importance of ROCm and strategic partnerships in enhancing edge-to-cloud solutions. He emphasizes how diverse hardware options and open-source principles are reshaping industrial use cases, making AMD a versatile player in the AI landscape.

From Paris to Montreal, we explore the future of generative AI in material science. Innovation, impact, and the Parisian startup spirit await. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner SIEMENS The Course Robert mentioned https://jmtomczak.github.io/crash-course-diffusion/

Ram Seetharaman, Head of AI & Product Manager at Synera, discusses his journey in building digital engineering solutions. He shares fascinating insights from his expertise in Formula Student, where his team won the Siemens Digital Twin Award. The conversation dives into how AI agents are revolutionizing engineering workflows, streamlining processes, and improving collaboration among teams. Ram also emphasizes the vital role of curiosity in engineering education, adapting to technological advances, and nurturing innovation for future engineers.

Pravin Waghmare, CEO of Prescient and an expert in CAD and PLM, shares insights from his engineering journey. He discusses the dramatic evolution of CAD from an Indian perspective, emphasizing AI's transformative role in streamlining workflows. Pravin highlights the competitive landscape shifts in CAD, CAM, and PLM driven by AI, as well as India's aspirations in industrial AI. He also examines the nation's infrastructure challenges and future prospects in chip production, showcasing innovative AI applications in manufacturing.

We talked to Harish Thampi. He works as a ML Solution Architect for Tata Consultancy Services. The company provides IT services and generates approximately US$28 billion in revenue. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner SIEMENS

Audi has taken quality control of weld spots in body construction to a new level in Neckarsulm. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner SIEMENS Apple paper https://arxiv.org/abs/2507.13575

Peter Seeberg spoke with Vlad Larichev Industrial AI Lead at Accenture about Agents, LLMs and AI for Engineering Tasks. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner SIEMENS

Rico Knapper is the CEO of Pailot and loves PCBs shopfloors. Why? Because his AI based solution outperforms other approaches. We met him at Siemens. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner SIEMENS