Podcasts about industrial ai

In this episode of Manufacturing Hub, Vlad Romanov and Dave Griffith sit down with Benson Hougland from Opto 22 to get brutally practical about what is actually running on shop floors today, and what it takes to move from legacy automation to modern, data ready operations without breaking what already works. If you have ever walked into a plant and seen a mix of decades old controllers, manual processes, islands of automation, and a few shiny modern pockets of connectivity, this conversation will feel very familiar. Benson has spent roughly three decades at Opto 22 and he has seen the full spectrum, from brownfield realities where nothing can go down, to greenfield expansions where teams can finally design with data, security, and integration in mind.A major thread in this discussion is the gap between “the machine runs” and “the business can learn from the machine.” Benson lays out why so many facilities still operate in a world of siloed equipment with minimal visibility, and why digital transformation stalls when the goal is vague or driven by trend chasing. The most actionable insight is simple: start with a real problem, win small, build trust in the data, and only then scale. That approach is how you avoid proof of concept purgatory, and it is also how you get leadership buy in without overpromising. If you are looking at industrial AI, it becomes even more critical, because manufacturing cannot tolerate hallucinated answers. Benson explains why industrial AI starts with sanctity of data, meaning clean, contextualized, trustworthy signals that an organization can actually act on.You will also hear a grounded take on why hardware still matters in 2026. Not because everyone wants to rip and replace working PLCs, but because modern plants need layered edge strategies that can extract the right data, protect legacy assets, and integrate upward using open methods.About the guestBenson Hougland is a long time leader at Opto 22, a US based manufacturer of industrial controllers, edge devices, and IO. He focuses on customer and integrator feedback, product strategy, and the practical challenges teams face when modernizing systems while keeping operations running. Opto 22 is known for building and manufacturing in the United States and for leaning into open connectivity approaches that help reduce lock in and simplify integration.About the hostsVlad Romanov is an electrical engineer with an MBA from McGill University and over a decade of experience delivering automation and modernization work across high performing manufacturing environments. Through Joltek, Vlad supports manufacturers with plant floor assessments, controls and OT architecture, system modernization planning, integration execution, and technical upskilling so teams can own their systems long term. Vlad's work consistently sits at the intersection of reliability, operational execution, and the realities of IT and OT convergence, with a focus on what is feasible in real facilities, not just what looks good in a slide deck.Dave Griffith is a long time manufacturing and automation practitioner focused on bridging the gap between modern technology conversations and what is practical on the plant floor. Dave brings a systems mindset to modernization, with a strong emphasis on outcomes, maintainability, and the human factors that decide whether projects scale or stall.If this episode resonates and you are navigating modernization decisions, especially around OT networking, data infrastructure, platform selection, or plant floor security, Joltek can help you evaluate your current state, define a realistic target architecture, and build a roadmap that your team can execute.Joltek linkshttps://www.joltek.com/serviceshttps://www.joltek.com/education/ot-networking-fundamentalsTimestamps00:00:00 Welcome back and the hardware focused modernization theme00:01:40 Benson Hougland background, entrepreneur to controls to Opto 2200:04:10 A garage manufacturing story and the lessons of building real product00:09:00 The gap between cutting edge plants and manual, siloed operations00:11:10 What actually blocks modernization, capital, planning, and alignment00:13:10 Start small, solve a real problem, and build trust in outcomes00:14:40 Proof of concept purgatory and why leadership buy in changes everything00:17:50 Industrial AI needs data, and data integrity becomes the non negotiable00:22:30 Obsolescence, cybersecurity, and simplifying the industrial tech stack00:28:20 Cybersecurity is a process, not a product, and why defaults are deadly00:37:10 Linux at the edge, containers, and why modern controllers are like smartphones00:53:10 ProveIt and the virtual factories approach, real data, real integration paths

CES 2026 Just Showed Us the Future. It's More Practical Than You Think.CES has always been part crystal ball, part carnival. But something shifted this year.I caught up with Brian Comiskey—Senior Director of Innovation and Trends at CTA and a futurist by trade—days after 148,000 people walked the Las Vegas floor. What he described wasn't the usual parade of flashy prototypes destined for tech graveyards. This was different. This was technology getting serious about actually being useful.Three mega trends defined the show: intelligent transformation, longevity, and engineering tomorrow. Fancy terms, but they translate to something concrete: AI that works, health tech that extends lives, and innovations that move us, power us, and feed us. Not technology for its own sake. Technology with a job to do.The AI conversation has matured. A year ago, generative AI was the headline—impressive demos, uncertain applications. Now the use cases are landing. Industrial AI is optimizing factory operations through digital twins. Agentic AI is handling enterprise workflows autonomously. And physical AI—robotics—is getting genuinely capable. Brian pointed to robotic vacuums that now have arms, wash floors, and mop. Not revolutionary in isolation, but symbolic of something larger: AI escaping the screen and entering the physical world.Humanoid robots took a visible leap. Companies like Sharpa and Real Hand showcased machines folding laundry, picking up papers, playing ping pong. The movement is becoming fluid, dexterous, human-like. LG even introduced a consumer-facing humanoid. We're past the novelty phase. The question now is integration—how these machines will collaborate, cowork, and coexist with humans.Then there's energy—the quiet enabler hiding behind the AI headlines.Korea Hydro Nuclear Power demonstrated small modular reactors. Next-generation nuclear that could cleanly power cities with minimal waste. A company called Flint Paper Battery showcased recyclable batteries using zinc instead of lithium and cobalt. These aren't sexy announcements. They're foundational.Brian framed it well: AI demands energy. Quantum computing demands energy. The future demands energy. Without solving that equation, everything else stalls. The good news? AI itself is being deployed for grid modernization, load balancing, and optimizing renewable cycles. The technologies aren't competing—they're converging.Quantum made the leap from theory to presence. CES launched a new area called Foundry this year, featuring innovations from D-Wave and Quantum Computing Inc. Brian still sees quantum as a 2030s defining technology, but we're in the back half of the 2020s now. The runway is shorter than we thought.His predictions for 2026: quantum goes more mainstream, humanoid robotics moves beyond enterprise into consumer markets, and space technologies start playing a bigger role in connectivity and research. The threads are weaving together.Technology conversations often drift toward dystopia—job displacement, surveillance, environmental cost. Brian sees it differently. The convergence of AI, quantum, and clean energy could push things toward something better. The pieces exist. The question is whether we assemble them wisely.CES is a snapshot. One moment in the relentless march. But this year's snapshot suggests technology is entering a phase where substance wins over spectacle.That's a future worth watching.This episode is part of the Redefining Society and Technology podcast's CES 2026 coverage. Subscribe to stay informed as technology and humanity continue to intersect.Subscribe to the Redefining Society and Technology podcast. Stay curious. Stay human.> https://www.linkedin.com/newsletters/7079849705156870144/Marco Ciappelli: https://www.marcociappelli.com/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Artificial intelligence is no longer just a tool – it's becoming a force in the physical world. This special episode of The Optimistic Outlook highlights how industrial AI is moving beyond software to drive real-world impact. From factories and power grids to buildings, transportation systems, and even drug discovery, industrial AI is reshaping the systems that underpin everyday life.   You'll hear excerpts from Siemens President and CEO Roland Busch's CES keynote, including onstage conversations with leaders such as NVIDIA CEO Jensen Huang, Microsoft CEO Satya Nadella, PepsiCo Latin America CEO Athina Kanioura, and Commonwealth Fusion Systems CEO Bob Mumgaard. Together, they explore how digital twins, AI-powered simulation, and deep industry partnerships are already delivering measurable results—and setting the foundation for an industrial AI revolution.   Throughout the episode, Siemens USA Interim President and CEO Ann Fairchild provides context and commentary on what these breakthroughs mean for customers, industries, and society – and why Siemens is uniquely positioned to help scale industrial AI responsibly and impactfully.   Show notes Siemens CES Keynote with Roland Busch (Full video on YouTube) Siemens at CES 2026: Official Landing Page 

Nvidia and Siemens announced plans to build an industrial AI operating system together. CEOs Jensen Huang and Roland Busch speak to Ed Ludlow about this partnership, the need for energy, Nvidia's new chips, China and Siemen's potential deals in the operations software space. They sit down at the Consumer Electronics Show.See omnystudio.com/listener for privacy information.

The following article of the Tech industry is: “Agentic AI: Taking New Wave of Industrial AI Seriously” by Alejandro Preinfalk, CEO and President, Siemens AG.

As 2026 approaches, manufacturers are under growing pressure to move faster, operate more flexibly, and compete in an increasingly complex global landscape. At the same time, the tools to meet those challenges are finally positioned to move from promise to real-world impact. In this year-end episode of The Optimistic Outlook, Siemens USA Interim CEO Ann Fairchild sits down with Del Costy, President and Managing Director of Siemens Digital Industries Americas, to explore what's changing—and what's still holding manufacturers back. Drawing on conversations with industrial leaders across the country, Del offers a clear-eyed view of today's technology adoption curve, from the realities of deploying Industrial AI to the strategic importance of digital twins, simulation, and edge processing. Together, they examine how technology, data, and people are converging to shape a new industrial tech sector—and what it will take for manufacturers to translate innovation into speed, resilience, and long-term competitiveness in 2026 and beyond.

How can leaders drive meaningful AI adoption in their organizations? In the second part of this two-part episode of Digitalization Tech Talks, Jonas Norinder and Don Mack sit down with Andrea Iorio, a digital transformation expert, to explore the human side of embracing AI. From overcoming fear and distrust to empowering teams with clarity and confidence, Andrea shares key strategies to transform skepticism into engagement. As Andrea puts it: “The future belongs to augmented humans who know how to collaborate with AI, not compete with it.”  Don't miss this insightful conversation packed with actionable takeaways on navigating the challenges of AI adoption. Show Notes: Website (Between you and AI): BETWEEN YOU AND AI (https://sie.ag/2DikPr) Website (Deep Learning.AI): Deeplearning.ai (https://sie.ag/dQA4h) Website (Siemens): Transforming Industrial AI into business value (https://sie.ag/7FKDSz) Blog (Nvidia): Siemens makes factory floors smarter with industrial AI (https://sie.ag/7K7F6u) Video (Siemens): Experience the real power of Industrial AI with Siemens (https://sie.ag/5SjCUD) Contact us: Andrea Iorio email (me@andreaiorio.com) and LinkedIn (https://www.linkedin.com/in/andreaiorio/) Don Mack email (mack.donald@siemens.com) Jonas Norinder email (jonas.norinder@siemens.com)

The energy at AWS re:Invent 2025 in Las Vegas was undeniable. The narrative has shifted decisively from the passive "Industrial Copilots" of last year to active, autonomous Agentic AI. Everywhere you looked, the talk was of autonomous swarms, "Supervisor Agents," and the new Strands Agents SDK empowering developers to build digital workers that can reason and act.However, as I (Colin Masson of ARC Advisory Group) noted in my recent Top 10 Takeaways for Industrial AI from AWS re:Invent 2025, there is a stark divergence between the "hyperscaler dream" and the "brownfield reality." For manufacturers dealing with 20-year-old assets, proprietary protocols, and disparate silos, building these agents often hits a brick wall—the "Factory Wall." An AI agent is only as intelligent as the context it is fed, and in most factories, that context is trapped in the machine layer.To explore how the industry is breaking through this barrier, I sat down at re:Invent with Joe Rosing, Worldwide Head of Smart Manufacturing at AWS, and Torey Penrod-Cambra, Co-Founder and Chief Communications Officer at HighByte. We discussed the critical role of Industrial DataOps in untangling the mess of industrial data to fuel the next generation of AI.Would you like to be a guest on our growing podcast?Do you have an intriguing or thought provoking topic you'd like to discuss on our podcast? Please contact Our Producer Tom Cabot at: Tcabot@Arcweb.comView all the episodes here: https://thedigitaltransformationpodcast.buzzsprout.com

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.

How can leaders drive meaningful AI adoption in their organizations? In this two-part episode of Digitalization Tech Talks, Jonas Norinder and Don Mack sit down with Andrea Iorio, a digital transformation expert, to explore the human side of embracing AI. From overcoming fear and distrust to empowering teams with clarity and confidence, Andrea shares key strategies to transform skepticism into engagement. As Andrea puts it,  “The future belongs to augmented humans who know how to collaborate with AI, not compete with it.”  Don't miss this insightful conversation packed with actionable takeaways on navigating the challenges of AI adoption. Show Notes: Website (Between you and AI): BETWEEN YOU AND AI (https://sie.ag/2DikPr) Website (Deep Learning.AI): Deeplearning.ai (https://sie.ag/dQA4h) Website (Siemens): Transforming Industrial AI into business value (https://sie.ag/7FKDSz) Blog (Nvidia): Siemens makes factory floors smarter with industrial AI (https://sie.ag/7K7F6u) Video (Siemens): Experience the real power of Industrial AI with Siemens (https://sie.ag/5SjCUD) Contact us: Andrea Iorio email (me@andreaiorio.com) and LinkedIn (https://www.linkedin.com/in/andreaiorio/) Don Mack email (mack.donald@siemens.com) Jonas Norinder email (jonas.norinder@siemens.com)

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.

Was bedeutet Technologie heute und warum fühlen sich Innovationen manchmal wie modernes Zaubern an? Genau darüber spricht Larissa Ceccio von OnlineMarketing.de in dieser Folge von TAP INTO MARKETING mit Lara Sophie Bothur: Sie ist Global Tech Influencerin, LinkedIn Top Voice und wurde kürzlich sogar von Forbes in die 30 Under 30-Liste 2025 aufgenommen.Als Tech Translatorin macht sie aus Buzzwords wie Agentic AI, Quantum Computing oder humanoiden Robotern Geschichten, die hängen bleiben und zeigt, warum Technologie erst dann Wirkung entfaltet, wenn sie zugänglich, emotional und verantwortungsvoll erzählt wird. Sie arbeitet mit einigen der größten Tech-Konzerne der Welt zusammen: Meta, Nvidia, Google, SAP, AWS, Salesforce, Siemens, Workday, Porsche und Deloitte. Ihre Rolle reicht dabei weit über klassische Influencer-Arbeit hinaus: Sie steht auf internationalen Bühnen vor bis zu 20.000 Menschen und übersetzt komplexe Technologien für ein breites Publikum.Im Gespräch mit Larissa geht es um mehr als Reichweite und Follower-Zahlen: Gemeinsam tauchen wir ein in die Frage, was Unternehmen heute wirklich sichtbar macht: Authentische Menschen, klare Haltung und Kommunikation, die Brücken baut statt Fronten. Lara spricht offen darüber, welche Kooperationen sie absagt, wenn sie nicht zu ihren Werten passen, warum Aktualität für sie manchmal wichtiger ist als ein bezahltes Event und wieso Tech nur dann „magisch“ ist, wenn der Mensch im Zentrum bleibt.Jetzt reinhören und erfahren, warum Technologie für Lara kein Selbstzweck ist, sondern ein Werkzeug, um die Welt menschlicher, nachhaltiger und verantwortungsvoller zu gestalten und was das ganz konkret für Marken, Creator und junge Talente bedeutet. Diese Folge liefert dir spannende Einblicke in:die Rolle der Tech-Translator und warum Storytelling heute Karrierekatalysator und Wettbewerbsvorteil istTech- und KI-Trends: von Agentic AI über Robotics und Industrial AI bis hin zu Quantum Computing und Space Techverantwortungsvolle Innovation: warum Technologie immer nur so gut ist wie die Daten, Werte und Menschen dahinterdie neuen Regeln der Unternehmenskommunikation auf LinkedIn und was Corporate Influencer besser machen können als die meisten KampagnenCreator-Monetarisierung, Paid vs. Organic und warum organische Sichtbarkeit für Lara nicht verhandelbar istLaras Top-KI-Tools für Content, Transkription, Video und Visuals – inklusive praktischer Use Caseswelche Formate auf LinkedIn aktuell am besten performen und warum gespeicherte Posts zur neuen Super-KPI werdenKarrierewege in der Tech-Welt: vom Consulting zur selbst erschaffenen Rolle als Corporate Influencer und warum viele Jobs von morgen heute noch keinen Namen habenwas trotz aller KI-Entwicklung unersetzlich menschlich bleibtDen begleitenden Artikel zur Folge findest du wie immer auf OnlineMarketing.de.Das OnlineMarketing.de-Team wünscht dir viel Spaß beim Hören. Stay safe and be kind. Hosted on Acast. See acast.com/privacy for more information.

Wie kann KI sinnvoll in industrielle Prozesse eingebunden werden, um Effizienz und Maintenance zu verbessern? In dieser Folge vom smartAI-Kongress spricht Sarah mit Simon Sack, Gründer von NEUROLOGIQ und Leiter der Arbeitsgruppe "Defence" des KI-Bundesverbands.

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.

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.

What happens when a founder who built a billion dollar company during a global crisis steps into the centre of industrial AI and begins reshaping how entire organisations think and work? That question sat at the heart of my conversation with Somya Kapoor, CEO of IFS Loops, recorded live on the show floor at IFS Industrial X Unleashed. Somya's journey carries a level of grit and perspective that shines through every answer. She shared how surviving the Gulf War as a child shaped her instinct to take on the hardest problems in technology. That mindset not only guided her early career at SAP, ServiceNow, and other enterprise giants, it also laid the foundation for Loops, the agentic platform she co-founded in 2020 with a simple scribble on a notepad that eventually grew into one of the most significant acquisitions in the IFS ecosystem. Her stories about early rejections, the wave of scepticism around AI in the early days, and the first customer conversations held on Zoom during lockdown reveal the human side behind a platform many now take seriously across the industrial world. Across the episode, Somya explained in plain terms what makes IFS Loops so different. The platform connects data across systems using natural language, helps redesign processes that used to be locked inside individual applications, and introduces digital workers that remove the grunt work from everyday operations. She brought the technology to life with examples that landed with real clarity. From supplier order handling to complex field service tasks, and the now famous Kodiak Gas case where thousands of hours were saved each year, she showed how agentic workflows change what is possible for industrial companies who have spent decades wrestling with fragmented data and rigid processes. We also talked about the importance of keeping people at the centre of AI driven change. Somya was clear that amplification, not replacement, is the story that matters. The shift requires new skills, new supervision models, and a thoughtful approach to adoption. Her reflections on change management, the energy she felt from customers at the event, and the speed at which leaders now want to move painted a picture of an industry that feels very different from the early days of AI excitement. The hesitation has faded. Curiosity has taken over. Action is starting to follow. Somya closed with a message aimed at every leader who might still be watching from the sidelines. The technology is real, adoption is accelerating, and the window to learn, experiment, and adapt is narrowing. She believes this is the moment for teams to decide whether they want to lead or be led by others who are moving faster. As you listen to this conversation, I'd love to hear what stood out for you. Do you feel the same shift in confidence and urgency around industrial AI that Somya described? Let me know your thoughts.   Tech Talks Daily is Sponsored by NordLayer: Get the exclusive Black Friday offer: 28% off NordLayer yearly plans with the coupon code: techdaily-28. Valid until December 10th, 2025. Try it risk-free with a 14-day money-back guarantee.

Industrial AI software heavyweight IFS chose its New York show to debut virtual agents equipped with 50 skills that autonomously manage high-volume tasks. For this episode of the Great Question podcast, Smart Industry's Scott Achelpohl and Plant Services' Tom Wilk were there to chat about the product, IFS Loops, with its CEO, Somya Kapoor.  

It's impossible to ignore the tidal wave of excitement and hype surrounding Generative AI. However, at ARC Advisory Group, we consistently advise our Industrial Sector clients that success in this new era requires understanding the entire Industrial AI Toolbox, not just the newest, shiniest instrument. This ongoing Industrial AI (R)Evolution is fundamentally reshaping operations and architecture across IT, OT, ET, and Data Science domains. To cut through the noise and provide clear guidance, I've been hosting a detailed podcast series on Industrial AI with thought leaders across the ecosystem. In this context, Colin Masson, Director of Research for Industrial AI was thrilled to welcome Dustin Johnson, CTO of Seeq Corporation, back for their third conversation. Would you like to be a guest on our growing podcast?Do you have an intriguing or thought provoking topic you'd like to discuss on our podcast? Please contact Our Producer Tom Cabot at: Tcabot@Arcweb.comView all the episodes here: https://thedigitaltransformationpodcast.buzzsprout.com

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.

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.

Welcome to AI Unraveled, the briefing for enterprise leaders building production AI.Today, we're dissecting the industrial challenge: How do you feed a massive LLM like Gemini or Copilot data from a decades-old oil pipeline and a brand-new inspection drone, all at once? The answer is a new, three-stage architecture of data fusion. We'll show you how Energy and Construction are moving from data silos to unified, prescriptive intelligence.Stick with us. This is Industrial AI Unlocked.But first, a crucial message for our corporate partners:

In our first ARC Advisory Group SPARC podcast, Steve Blackwell of AWS and I explored the vision for Software Defined Manufacturing, where Agentic AI acts as the "brain and central nervous system." Our second conversation brought that vision to the factory floor, examining the "muscles" of the operation with the rise of Physical and Embodied AI.In this third installment of our ongoing dialogue, we connect the brain and the muscles. A central theme in my new ARC research series on the Voyage to Physical Intelligence is that for any system to perceive, reason, and act in the physical world, it needs a deep, contextual understanding of that world. This brings us to the critical role of the digital twin—not as a static model, but as a live, learning environment that serves as the foundation for the next wave of industrial autonomy.Would you like to be a guest on our growing podcast?Do you have an intriguing or thought provoking topic you'd like to discuss on our podcast? Please contact Our Producer Tom Cabot at: Tcabot@Arcweb.comView all the episodes here: https://thedigitaltransformationpodcast.buzzsprout.com

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.

In this episode, I sit down with Schunk CTO Timo Gessmann and Google DeepMind's Phillip Lippe to explore how AI is transforming the world of robotics and industrial automation. We kick things off with Timo, who shares his vision for merging mechanical expertise with AI, the challenges of attracting top talent, and why Europe needs its own world-class robotics models. Then, I'm joined by Phillip Lippe from the Gemini team, who dives into the latest advances in generative AI, the power of foundation models, and what the future holds for scalable, domain-specific intelligence. Whether you're fascinated by embodied AI, curious about industry trends, or want a peek into the minds shaping tomorrow's robots, this episode is packed with insights you won't want to miss.

Biodegradable water-soluble films. Recycling that reuses molecules over and over. AI that can develop more sustainable polymers. In this conversation, Sustainably Speaking host Mia Quinn sits down with Anne Kolton, Chief Sustainability Officer at SK Capital Partners, to explore the next wave of innovation in manufacturing and materials. Anne shares how her team invests in companies developing breakthrough products, how U.S. manufacturing can launch smarter, more efficient processes, and why engineering and AI will transform the materials we all use every day. 

At Automate 2025, Vlad and Dave take Manufacturing Hub inside the Siemens booth to explore how one of the world's largest industrial technology companies is shaping the future of manufacturing. From the latest S7-1200 G2 PLC to industrial copilots powered by AI, digital twins that simulate entire factories, and virtual PLCs redefining automation, this episode is packed with insights from Siemens leaders and engineers.In this conversation series, we uncover the evolution of hardware, software, and data-driven manufacturing with experts including Chris Stevens and Anna-Marie Breu on customer experience and digital twins, Bernd Raithel on software-defined automation and IT/OT convergence, Louis Narvaez on the next-generation S7-1200 G2 PLC, Kristen Sanderson on Industrial Copilot and AI agents, Sarah McGee on Sematic AX and modern PLC programming, Kevin Wu on Pick AI Pro, Ivan Hernandez on the G220 drives, and cybersecurity specialists Tilo and Gaurav on securing industrial networks.Throughout the episode, Vlad and Dave discuss how Siemens is transforming plant operations through tools that connect the physical and digital worlds. Topics include co-pilots for engineering and operations, lifecycle management, virtual commissioning, edge computing, harmonics and clean power, and the convergence of IT and OT teams.This conversation is a must-watch for engineers, integrators, plant managers, and decision-makers looking to understand how software-defined automation, AI, and digital twin technologies are merging to create resilient, data-driven factories.Timestamps:00:00 Siemens at Automate 2025 introduction02:45 Defining manufacturing resilience and digital twins09:32 Virtual commissioning and collaborative engineering environments15:10 Adoption of digital twins in small and medium manufacturers22:35 Co-pilots and natural language interaction in industrial systems30:28 Automation lifecycle management and version control for PLCs36:55 Virtual PLCs, software-defined automation, and IT/OT collaboration46:40 The new Siemens S7-1200 G2 PLC and migration from G157:20 AI copilots, agents, and secure Siemens cloud infrastructure1:08:05 Somatic AX and modern PLC programming for new engineers1:17:25 Pick AI Pro and real-world robotic vision applications1:29:10 G220 drives and clean power innovations1:35:45 Industrial cybersecurity and vulnerability management1:43:00 Cinemeric Run My Robot and CNC-robot collaboration1:50:20 Final reflections on Siemens innovation and future trendsReferences Mentioned:Siemens Digital IndustriesSiemens Industrial Edge Developer KitS7-1200 G2 InformationSematic AXIndustrial CopilotCinematic Run My RobotPick AI ProSiemens G220 DrivesCybersecurity SolutionsManufacturing HubModern Plant Network Requirements: Building Reliable and Connected OT Systems for ManufacturingAbout the Hosts:Vlad Romanov is an electrical engineer and manufacturing systems consultant with over a decade of experience modernizing plants and integrating SCADA, MES, and automation systems. He is the founder of Joltek and co-founder of SolisPLC, creating content that educates professionals in industrial automation.Dave Griffith is a manufacturing consultant and co-host of the Manufacturing Hub podcast, helping manufacturers navigate digital transformation, technology adoption, and operational excellence.

We spent time in the Black Forest, where innovation met inspiration at our latest industrial AI gathering. In this episode, we share stories—from empowering autistic talent in data annotation to the technical leaps in foundation models for time series. You'll hear from leading minds like Jakub Tomczak, who flew in from San Francisco to challenge what's possible in generative AI, and explore how the landscape is shifting from traditional machine learning to adaptive, context-rich automation. Join us as we question what makes AI truly intelligent, debate the role of human factors, and look ahead to the next wave of industrial transformation. If you're curious about how AI is evolving in real factories, how new job profiles are emerging, or why continuous learning and time series matter more than ever, this conversation is for you.

Host Randy Goruk on the Leadership and Learning Podcast as he welcomes Bryan DeBois, Director of Industrial AI at RoviSys, for an insightful discussion on the transformative power of artificial intelligence in manufacturing. Bryan shares his 25-year journey in the industry, explains how AI is revolutionizing operations—from capturing expert knowledge to enhancing safety and productivity—and addresses common misconceptions about AI's impact on the workforce. This episode is packed with real-world examples, practical advice, and inspiration for leaders looking to empower teams and drive innovation with AI. You will learn: How artificial intelligence is transforming manufacturing processes and operations. Ways AI captures expert knowledge and accelerates skill development for operators. Real-world examples of AI improving safety, productivity, and efficiency in manufacturing. Strategies for balancing productivity gains with enhanced workplace safety. How AI solutions can be implemented while managing common fears and misconceptions. Insights on building ROI-driven business cases for AI initiatives. The evolving role and value of human workers alongside AI-driven automation. Practical steps companies can take to get AI-ready. What the future may hold for smart manufacturing and Industry 4.0 Bryan DeBois on LinkedIn: https://www.linkedin.com/in/bryan-debois Company website: https://www.rovisys.com

In this episode, I dive into the fascinating world of non-destructive material testing with Christian Wagner from Vogt Ultrasonics and Jan Koutnik from Evoptima. Together, we explore how AI is revolutionizing spot weld inspection in the automotive industry, making quality control smarter and more precise than ever before. We discuss the challenges of processing massive ultrasonic datasets, adapting AI models to real-world manufacturing, and the journey from legacy systems to cutting-edge solutions. If you're curious about how collaborative robots, vision systems, and robust AI are reshaping factory floors—and what it takes for mid-sized companies to lead the charge—this is an episode you won't want to miss.

Jonathan and Brendon welcome Jon Mortensen from IFS on Reliability Radio for a discussion that defines the future of enterprise asset management. Jon reveals IFS's commitment to the full Asset Lifecycle Management (ALM) journey, which they call the "Must to Dust" cycle. The key focus is on solving the universal problem of capital constraint. Learn how the strategic acquisition of a leading Asset Investment Planning (AIP) company allows IFS to optimize capital expenditure, evaluating repair vs. replace decisions, and leveling financial peaks and troughs over a 20-year horizon. This episode details: Industrial AI: How IFS avoids the "University of TikTok" problem by using a closed, pre-trained AI ecosystem that leverages your organization's manuals and data, making AI practical and reliable. The Future of Work: The imminent arrival of AI Agents designed to automate mundane business processes, like procurement, dramatically reducing "busywork." ALM Strategy: Why 80% of an asset's cost is determined before it's even purchased, and how this data-driven philosophy changes maintenance strategy forever.

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 our first ARC Advisory Group SPARC podcast, I had the pleasure of speaking with Steve Blackwell, Head of the Manufacturing Center of Excellence at Amazon Web Services (AWS), about the transformative shift towards Software Defined Manufacturing (SDM) in the Era of Agentic AI.1 We explored how Agentic AI is becoming the "brain and central nervous system" of the future factory, orchestrating complex digital workflows across the enterprise.2In this second episode, we bring that vision down to the factory floor. We're moving from the digital intent to the physical action—from the brain to the "muscles" of the operation. Steve and I discuss the physical embodiment of SDM through robotics, exploring AWS's evolving strategy and the rise of a new, more capable class of automation: Physical and Embodied AI.Would you like to be a guest on our growing podcast?Do you have an intriguing or thought provoking topic you'd like to discuss on our podcast? Please contact Our Producer Tom Cabot at: Tcabot@Arcweb.comView all the episodes here: https://thedigitaltransformationpodcast.buzzsprout.com

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.

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?

In red-hot acquisition market, this CVector founders answer this key question in its first conversation with prospective customers. Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this episode, Jaeden dives into the complex world of AI acquisitions and their impact on customers. Learn why some companies are pledging not to be acquired and how this trend is reshaping the industry. Plus, explore innovative AI use cases in the industrial sector that are saving companies time and money. Try AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle/aboutYouTube Video: https://youtu.be/FWdVhyfwVnQChapters00:00 The Downside of AI Acquisition02:16 Case Study: DataSight Acquires Blue Flame AI04:05 Customer Concerns: The Acquisition Dilemma05:56 Innovative Solutions in Industrial AI

Peter Seeberg spoke with Vlad Larichev Industrial AI Lead at Accenture about Agents, LLMs and AI for Engineering Tasks.

We're halfway through 2025—and what a year it's been. In this special mid-year check-in, Barbara revisits the bold predictions she made back in January and asks: Are we delivering on the promise of Industrial AI, clean energy, and workforce transformation? From factories revitalized by digital twins to microgrids powering America's fast-growing AI data centers, this episode highlights the real-world innovations reshaping our industrial landscape.   Drawing on insights from top guests—futurists, engineers, and workforce leaders—Barbara explores what's working, where challenges remain, and how people are staying at the center of it all. If you're curious about how data, AI, and human ingenuity are rewriting the rules of American industry, this episode is your front-row seat. Let's take stock of how far we've come—and what it will take to finish the year strong.   Show notes Subscribe to Barbara's LinkedIn Newsletter  

Samsung ha presentato a New York il Galaxy Fold 7, il suo nuovo smartphone pieghevole. Roberto Pezzali, esperto di tecnologia della redazione di Dday.it che ha partecipato all’evento e provato il Fold 7, spiega quali sono le caratteristiche tecniche e funzionali di questo prodotto.Parliamo di tecnologie e soluzioni sostenibili in ambito nautico con il Prof. Giangiacomo Minak che insegna Costruzione di Macchine all’Università di Bologna e assieme al Prof. Nicolò Cavina è responsabile scientifico del programma Red Wave e del team che ha dominato l‘ultima edizione della Monaco Energy Boat Challenge.Con il prof. Paolo Prinetto, responsabile attività formative del Cybersecurity National Lab del Cini e referente per la Cyber Challenge in Italia torniamo ad occuparci di cybersecurity in occasione della finale dell’ottava edizione del programma CyberChallenge.IT, un vero e proprio campionato di sicurezza informatica dedicato ai giovani dai 16 ai 24 anni.Manutenzione predittiva, sensori e videocamere applicate al controllo qualità, multiversi popolati con i digital twins della componentistica industriale. Sono alcune delle applicazioni dell'intelligenza artificiale nell'industria manifatturiera, come racconta Floriano Masoero, amministratore delegato di Siemens Italia.E come sempre in Digital News le notizie di innovazione e tecnologia più importanti della settimana.

AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support.     How AI Is Transforming the Physical World | Samsara's Vision for the Future of Operations   In this episode of Eye on AI, Craig Smith sits down with Kiren Sekar, Chief Product Officer at Samsara, to explore how AI, edge computing, and IoT are revolutionizing the world of physical operations - from fleets and factories to farms and field teams.   Samsara has quietly become the digital backbone for thousands of frontline businesses, collecting trillions of data points across vehicles, tools, and teams. Kiren explains how they're building AI-powered systems that don't just collect data, they deliver real-time safety alerts, optimize routes, track fuel efficiency, and even coach drivers automatically.   Whether you work in tech, operations, or AI, this episode shows how AI is finally meeting the real world.   Check our Samsara, AI Build for Physical Operations: https://www.samsara.com/   Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI (00:00) Preview (02:01) Kiren Sekar's Background and Why Samsara Was Founded (06:38) The Real-World Impact of Samsara's AI Systems (09:04) What Changed After Samsara Went Public (11:09) How Samsara Gives Businesses Visibility Into Operations (13:08) The Hardware and Cellular Network Powering Samsara (14:13) AI to Detect Driving Risks (23:13) Tracking Every Asset: From Cranes to Toolkits (25:20) Why Even Mid-Sized Companies Can Use Samsara Easily (27:25) Regional Dashboards and AI Insights for Executives (29:57) How Samsara Decides Where to Apply AI (32:54) Can AI Read Handwritten Forms? (35:31) The AI Models Samsara Uses (39:21) What Samsara Processes at the Edge vs in the Cloud (43:00) Why Samsara Keeps Its R&D Team Small and Fast (46:35) Why Legacy Industries Are Finally Adopting AI (49:12) What Agentic AI Workflows Look Like at Samsara (54:53) What's Next: AI Voice Assistants for Field Worker  

In this episode of the Optimistic Outlook, Barbara reflects on insights from the inaugural AI for Real event in New York City, featuring insights from top economists and innovators. This episode dives into how Industrial AI empowers workers, drives innovation, and strengthens America's industrial leadership. Whether you're a business leader, policymaker, or curious professional, learn why investing in Industrial AI is key to creating resilient industries and unlocking new opportunities for all.   Show notes Subscribe to Barbara's LinkedIn Newsletter 

Today's guest, our 200th guest on the Hoffman Podcast, is Brad Keywell. As you'll soon hear, Brad is expansively curious and always moving toward more aliveness. An entrepreneur, investor, professor, author, artist, philanthropist, and Hoffman graduate, he shares his personal experience of the Process with us. In addition, Brad reflects upon the Hoffman Process through his lens of entrepreneurship and his essentially curious nature. Brad sees life as two forks in the road:  one of curiosity (fully alive) and the other of stagnation (not yet dead). While he says these are extremes, Brad suggests it is important to know which fork we find ourselves on and then consciously consider if we're happy where we are. For Brad, this choice is to live the path of being fully alive. He suggests that the Process is a tool to help us grow in greater aliveness, curiosity, and vulnerability. We can consciously choose to continue to move forward into a life of greater aliveness and expansive curiosity. Join us in celebrating Brad and his journey to and through the Hoffman Process. We are grateful for this conversation with Brad and Drew. We hope you enjoy exploring the nature of change, curiosity, and a life of more aliveness. More about Brad Keywell: Brad is an American entrepreneur, investor, professor, author, artist, and philanthropist. He has founded or co-founded nine technology companies (three of which have gone public on NASDAQ), an early-stage VC firm, a global ideas platform, an immersive museum, and several nonprofit organizations. Brad was named the overall 2019 EY World Entrepreneur of the Year. This is the highest global honor (selected from 44 country winners in the global EY Entrepreneur of the Year program). He was also awarded the 2018 overall EY Entrepreneur of the Year in the United States. He is the Founder and Executive Chairman of Uptake Technologies. Uptake is an Industrial AI software company that delivers insights that increase productivity and reliability for industrial operators in twenty-one countries. In addition, Uptake, a Technology Pioneer of the World Economic Forum, was Forbes Startup of the Year in 2015. In addition, Uptake is a three-time CNBC Disruptor, a three-time Forbes Cloud 100 member, and was ranked third on the Forbes AI 50 list. Brad signed The Giving Pledge in 2015. By doing so, he committed to giving the majority of his wealth to charitable causes. He is the chairman of Future Founders, a nonprofit that provides entrepreneurship education to students in underserved communities throughout Chicagoland. Follow Brad on LinkedIn and X(Twitter). As mentioned in this episode: Bob Hoffman: Bob Hoffman, founder of the Hoffman Process, had an innate and highly gifted ability to listen to deeper truths and wisdom. Read more... University of Michigan Ross Commencement 2022 Speaker: Brad Keywell •   Bo Schembechler, Football Coach, University of Michigan

A quiet revolution is reshaping how we build, work, and compete at the intersection of AI and American manufacturing. Recorded live at ITI's Intersect Summit in D.C., this episode explores how breakthroughs in Industrial AI—from Siemens' AI-powered production tools to Toyota's collaborative “big room” model—create more intelligent factories and empower U.S. workers. With bipartisan momentum and strategic public-private partnerships, policymakers and industry leaders are aligning to strengthen American competitiveness, rebuild supply chains, and train a future-ready workforce. But the road ahead isn't without challenges: trust, talent, and scalability remain top priorities. Tune in for a behind-the-scenes look at how AI is no longer just futuristic—it's already shaping America's industrial comeback.   Show notes  Subscribe to Barbara's LinkedIn Newsletter    What is AI with purpose? For manufacturers, it's making data valuable | By: Barbara Humpton, CEO Siemens USA    

This week, Natan Linder (https://www.linkedin.com/in/linder/), Co-Founder and CEO of Tulip (https://tulip.co/) sits down with Madilynn Castillo (https://www.linkedin.com/in/madilynncastillo/), Tulip's CMO for a recap of their experiences at this year's Hannover Messe—the world's largest industrial trade fair. They explore the overwhelming AI hype at the fair, the confusion it creates for manufacturers, and the persistent gap between marketing and real operational impact when it comes to these shiny new tools. Plus, an overview of the latest developments from Tulip that debuted at the show. Augmented Ops is a podcast for industrial leaders, citizen developers, shop floor operators, and anyone else that cares about what the future of frontline operations will look like across industries. This show is presented by Tulip (https://tulip.co/), the Frontline Operations Platform. You can find more from us at Tulip.co/podcast (https://tulip.co/podcast) or by following the show on LinkedIn (https://www.linkedin.com/company/augmentedpod/). Special Guest: Madilynn Castillo.

This week's guest is Erik Udstuen (https://www.linkedin.com/in/erik-udstuen-00000), Co-founder and CEO of TwinThread. Erik shares insights from his 30+ years in industrial software, discussing how AI and digital twins are transforming manufacturing by standardizing data, optimizing operations, and driving operational excellence. He also dives into the challenges of industrial data standards, the importance of empowering engineers with no-code/low-code tools, and why AI must go beyond insights to deliver real-time, actionable recommendations on the shop floor. Augmented Ops is a podcast for industrial leaders, citizen developers, shop floor operators, and anyone else that cares about what the future of frontline operations will look like across industries. This show is presented by Tulip (https://tulip.co/), the Frontline Operations Platform. You can find more from us at Tulip.co/podcast (https://tulip.co/podcast) or by following the show on LinkedIn (https://www.linkedin.com/company/augmentedpod/). Special Guest: Erik Udstuen.

In this episode of the Light on Data Show, hosts George and Diana explore the transformative potential of AI in the manufacturing and industrial sectors. Their guest, Bryan DeBois, Director of Industrial AI at RoviSys, shares insights from his 25 years of experience. They discuss the primary drivers for AI adoption, including the critical loss of expertise due to the 'silver tsunami', and the need for advanced technologies to enhance productivity and efficiency. Bryan explains the different types of AI being deployed, such as traditional AI, autonomous AI agents, and generative AI, and highlights the importance of AI readiness assessments and the challenges posed by legacy systems. He also addresses organizational change management and cybersecurity concerns associated with AI deployment on the plant floor. Tune in for expert advice on taking the first steps toward industrial AI implementation and understanding the pivotal role it can play in modern manufacturing.