Claim OwnershipIndustrial AI Podcast
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The Industrial AI Podcast reports weekly on the latest developments in AI and machine learning for the engineering, robotics, automotive, process and automation industries. The podcast features industrial users, scientists, vendors and startups in the field of Industrial AI and machine learning. The podcast is hosted by Peter Seeberg, Industrial AI consultant and Robert Weber, tech journalist.Their mission: Demystify Industrial AI and machine learning, inspire industrial users.
The hosts:
Peter Seeberg is an Industrial AI and machine learning expert for the manufacturing industry. He worked over 25 years in IT (Intel) and 10 years in Automation. He co-initiated the Industrial Data Intelligence Startup (Softing) where he was responsible for managing machine learning projects in industrial environments. Today he advises companies when it comes to Industrial AI and machine learning. Together with Robert Weber, journalist for industrial topics, he discusses AI and ML applications, standards, and education topics, make or buy decisions as well as regulation for AI in manufacturing.
The hosts:
Peter Seeberg is an Industrial AI and machine learning expert for the manufacturing industry. He worked over 25 years in IT (Intel) and 10 years in Automation. He co-initiated the Industrial Data Intelligence Startup (Softing) where he was responsible for managing machine learning projects in industrial environments. Today he advises companies when it comes to Industrial AI and machine learning. Together with Robert Weber, journalist for industrial topics, he discusses AI and ML applications, standards, and education topics, make or buy decisions as well as regulation for AI in manufacturing.
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In this episode, we dive into the realities behind industrial AI adoption—both the successes and the setbacks. We share candid conversations with engineers frustrated by unreliable AI and explore why real-world robustness remains the central challenge. Then, I sit down with Andy from Path Robotics, who reveals how their AI-driven welding robots are redefining adaptability and reliability on the shop floor. We unpack what makes their approach unique, from multi-modal sensors to reinforcement learning and massive real-world datasets. If you care about the future of manufacturing, data-driven automation, and the evolution of industrial roles, you won’t want to miss this discussion. Join us as we look ahead to what’s possible when AI finally delivers on its industrial promise.
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.
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.
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.
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.
1Peter Seeberg talks to Ram Seetharaman, Head of AI & Product Manager at Synera about Building your first digital engineer.
Pravin Waghmare is the CEO of Prescient from Pune. Magnus from Sandvik gave us the tip to talk to him about AI and CAD.
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?
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.
Peter Seeberg spoke with Vlad Larichev Industrial AI Lead at Accenture about Agents, LLMs and AI for Engineering Tasks.
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.
We celebrate... with WinCC, Agents and a special guets
Richard Socher is our guest. We discuss with the German wunderkind the role of LLMs in business and how architectures are changing. We met Richard Socher at the AI with Purpose Summit hosted by Siemens.
Peter Seeberg talked to Praveen Kapse. He is the Vice President - Corporate Strategy & Data Analytics Head of Tridiagonal Solutions in Pune, India.
In this episode of the Industrial AI Podcast we talk about MAN TruckScenes: the world's first freely available sensor and driving data for autonomous trucks. In the newspart Peter and Robert discuss their plans and their news.
In the interview with Peter Seeberg, Sepp Hochreiter explains how he did it, what state tracking is, how he came up with the devices and what the next steps are.
In this episode, Robert Weber talks to Tom Zehle from Airbus. He explains how he stays up to date, how he analyzes papers, and what he wants from research. The Industrial AI Podcast reports weekly on the latest developments in AI and Machine Learning for the engineering, robotics, automotive, process and automation industries. The podcast features industrial users, scientists, vendors and startups in the field of Industrial AI and Machine Learning. The podcast is hosted by Peter Seeberg, Industrial AI consultant and Robert Weber, tech journalist.
Peter Seeberg talks to Thomas Dhollander, Co-founder & CPO at Timeseer.AI about Trusted IIoT Data as the Key to Proactive Operations.
In this episode, we talk to Lucas from MathWorks about their Safe AI Approach and how it can be used to make money, think about the Pope, and introduce our new US correspondent.
MAGS harness the creative potential of generative models while enabling intelligent agents to collaborate, adapt, and solve complex problems in real time. This new synergy elevates AI systems beyond traditional automation, pushing them into the realm of autonomous problem-solving, creative thinking, and adaptive decision-making. The development of MAGS marks a significant shift in the way organizations approach challenges in rapidly evolving environments. By integrating Large Language Models (LLMs) and other advanced generative models with agents capable of learning and interacting independently, MAGS enable organizations to address problems that are not only multifaceted but also constantly changing. This guide explores the foundational elements of MAGS, their architecture, and why they matter for industries that need to navigate complexity, unpredictability, and scale.
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link to the paper https://leobarcellona.github.io/DreamToManipulate/