Podcasts about industrial ai

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.

Focusing power where it matters. ST announced the mass-market availability of the STM32MP23x (STM32MP235, STM32MP233, and STM32MP231) product line.

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.

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.

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  

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.

Read Online | Sign Up | Advertise | AI Builder's ToolkitHello AI Unraveled Listeners,In today's AI Daily News,NY Requires Disclosure of AI‑Related Layoffs in WARN Notices Wikipedia pauses AI summaries after editor backlashDisney, Universal sue Midjourney over copyrightTBC goes all-in on AI with Dia browserHow to connect Claude to external applicationsNvidia to build first industrial AI cloud in Germany.Meta launches AI ‘world model' to advance robotics, self-driving cars.News Sites Are Getting Crushed by Google's New AI Tools.

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.

In this edition of the ARC Digital Transformation Podcast, we talk to Grant Vanderbrake and Arnold Offner from Phoenix Contact about a new technology called Ethernet APL (Advanced Physical Layer), which essentially brings Ethernet technology to the field device level at the physical networking layer. Ethernet APL is a great technology, and every major process automation vendor seems to be supporting it, but what about the cybersecurity implications associated with it? This podcast goes into the details of Ethernet APL and security, what users need to know, and how this technology could actually make OT security much more effective.Find out more at Phoenix Contact's Website: https://www.phoenixcontact.com/en-us/technologies/communication-technologies/ethernet-aplOr the Ethernet APL Organization Website: https://www.ethernet-apl.org/ARC Advisory Group is the leading technology research and advisory firm for energy, manufacturing and infrastructure. Our coverage of technology and trends extends from business systems to Industrial AI, product and asset lifecycle management, Industrial IoT, Industry 4.0, supply chain management, operations management, energy transition, and automation systems. Our analysts and consultants have the industry knowledge and the first-hand experience to help find the best answers to the complex business issues facing organizations today.ARC's global influence across industrial operations is unparalleled. It is driven by the passion and expertise of our analysts and consultants, who keep abreast of industry trends and developments through research and actively engaging with clients.  ARC's analysts and consultants have spent most of their careers working with industrial companies and are truly passionate about helping companies achieve superior performance.  ARC has 100 professionals worldwide with extensive, first-hand experience servicing a multitude of business issues, technologies, and vertical industries.   Our offices are located in the US, Germany, Belgium, Japan, India, China, Singapore, and Brazil.

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.

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

SAP began the week with the announcement of its financial results for the first quarter ended March 31st, 2025. In release news, IFS unveiled new Industrial AI-powered features introduced with IFS.ai into the latest IFS Cloud 25R1 release. In other news, Qlik announced the launch of a new AWS cloud region in the Middle East, strengthening its commitment to organizations across the region that require high-performance AI, data integration, and analytics solutions with full data sovereignty. Finally, UKG launched the AI Hub on the UKG Marketplace to provide customers with a curated list of emerging and established AI technology partners that can help create great workplace experiences.Connect with us!https://www.erpadvisorsgroup.com866-499-8550LinkedIn:https://www.linkedin.com/company/erp-advisors-groupTwitter:https://twitter.com/erpadvisorsgrpFacebook:https://www.facebook.com/erpadvisorsInstagram:https://www.instagram.com/erpadvisorsgroupPinterest:https://www.pinterest.com/erpadvisorsgroupMedium:https://medium.com/@erpadvisorsgroup

We need to talk about talents – AI talents. We lack them in companies (really?), but also in universities, and, "Now that Trump is in power in America, it is easy to poach them and bring them to Europe," according to some politicians. The idea is not far-fetched, but Trump bashing alone will not attract anyone to Europe. Europe first has to do its homework.

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.

Tata Consultancy Services (TCS) has launched the TCS Digital Twindex report for the manufacturing industry at Hannover Messe 2025 in Germany - one of the world's leading industrial technology trade fairs. The report reveals how AI-powered digital twins are transforming manufacturing, driving efficiency, adaptability, and resilience. Drawing on insights from industry pioneers and technology leaders such as Siemens, Schneider Electric, NVIDIA, and JLR, alongside TCS executives and futurists, the report presents an in-depth view of digital twin technology adoption and the rise of AI-powered anticipatory ecosystems. Through qualitative research, it captures curated, future-focused conversations and insights from interviews with industry leaders. TCS's multi-decade presence in the manufacturing industry, deep domain expertise, advanced digital twin solutions, and cutting-edge Generative AI capabilities further lend depth to the report and credibility to shape the dialogue on adaptive, AI-first enterprises. Anupam Singhal, President - Manufacturing, TCS, said, "We stand at the threshold of a new manufacturing era, driven by digital twins, Generative AI, quantum-powered advancements, and a deep commitment to everything from safety to sustainability. The 'TCS Digital Twindex Report for Future-Ready Manufacturing' encapsulates our vision for building intelligent, future-ready, and adaptive enterprises - redefining industry competitiveness and enriching the lives of citizens and communities around the globe." Amid the rising need for automation and sustainability, the report offers a strategic blueprint for manufacturers to thrive in an AI and digital twin-driven era. It highlights how AI-powered digital twins, collaborative robots (Cobots), agentic AI, physical AI, and edge computing are converging to create smarter, more sustainable, and human-centric manufacturing ecosystems - enabling the shift toward anticipatory, AI-first enterprises. Overall, the TCS Digital Twindex report identifies five key trends shaping the future of manufacturing: Industry 4.5 and Beyond: The next phase of manufacturing evolution, where AI, automation, and digital twins converge to enable anticipatory, adaptive enterprises. Digital Twins as Real-Time Data Fabric: Acting as the connective tissue for enterprise intelligence - synchronizing data in real time to drive predictive insights and operational resilience. AI as Orchestrator of Intelligence: AI systems are evolving beyond narrow use cases to orchestrate decisions, simulations, and optimizations across the manufacturing value chain. Modular and Intelligent Manufacturing: The shift toward decentralized, plug-and-play production models powered by AI and digital twins, enabling hyper-localized, responsive, and intelligent manufacturing at scale. The Human-AI Symphony in Manufacturing: AI will play a growing role in enhancing human capabilities, supporting better decision-making, improving safety, and enabling seamless collaboration between people and intelligent systems on the factory floor. Rev Lebaredian, VP of Omniverse and Simulation Technology at NVIDIA, "Physical and Industrial AI are born in simulation, where they can be tested and validated before being deployed in the real world. By bridging the gap between the digital and physical, the world's heavy industries are paving the way for software-defined manufacturing and intelligent, autonomous systems." As manufacturers embrace AI and automation, experts underscore that digitization is the essential first step. Without digitized processes, true automation and intelligence deployment remain out of reach. Helenio Gilabert, Global Head of Offer Creation, Industrial Automation Services, Schneider Electric, said, "If it's not digitized, you cannot automate it. If you cannot automate it, you cannot deploy intelligence on top of it. To fully harness AI and digital twins, start with a clear digitization strategy - only then can you move toward AI-driven o...

Sahitya Senapathy, founder and CEO of Endeavor AI, joins Fund/Build/Scale to talk about launching a solo-founded startup at the intersection of AI and heavy industry. From building FEMA apps at age 11 to raising $7M before finishing college, Sahitya shares the hard lessons behind the headline. We dig into: – Selling AI solutions to manufacturers with no network and no co-founder – What enterprise customers actually care about in early-stage tech – Navigating credibility as a first-time founder in hard tech – Building while still learning — on the floor, in the pitch, as a leader This is a candid look at what it means to hustle in deep tech without shortcuts or safety nets. RUNTIME 46:18 LINKS Sahitya Senapathy Endeavor AI Forward deployment model SUBSCRIBE

Hany Fouda, Senior Vice President, Process Automation, Schneider Electric, dives deep into industrial artificial intelligence (AI), including the state of the processing sector's adoption of AI, how the industry can accelerate the adoption of digital technologies, benefits/barriers to embracing digital transformation and the future of AI, among much more.

Welcome to another insightful episode of The Sustainability Podcast. Today, we are thrilled to bring you Episode Two in a collaborative series with ARC's Industrial Digital Transformation Podcast. Our guest is Colin Mason, Director of Research in Industrial AI at ARC, who joins us to delve into the theme of "AI Wars and Industrial AI Battlefronts."In this episode, we continue the discussion from our first episode, exploring whether the impact of AI on the industrial sector is evolutionary or revolutionary. Colin shares his perspective on the various battlefronts in the AI landscape, including data center hardware, general-purpose AI software platforms, and the emerging edge AI technologies. He also highlights the role of industrial grade data scientists and the importance of strategic partnerships in navigating these advancements. Tune in as we unpack the complexities of AI's role in the industrial sector, discuss the major players and their strategies, and look ahead to future developments. Whether you're an industry professional or simply curious about the intersection of AI and industrial innovation, this episode is packed with valuable insights. Join us for this engaging conversation and stay tuned for upcoming episodes in this series, where we'll cover industrial AI use cases, industrial grade data fabrics, and the role of AI in powering sustainability. Don't miss it!--------------------------------------------------------------------------Would you like to be a guest on our growing podcast? If you have an intriguing, thought provoking topic you'd like to discuss on our podcast, please contact our host Jim Frazer or Our Producer Tom CabotView all the episodes here: https://thesustainabilitypodcast.buzzsprout.com

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.

How does the U.S. stay competitive in manufacturing, EVs, and AI while protecting innovation and growing the workforce?Manufacturing has always been the backbone of Michigan's economy, and few people understand this better than Congresswoman Haley Stevens. Representing Michigan's 11th District, she has spent her career championing industrial policy, workforce development, and technological innovation. From her time on the U.S. Auto Rescue Task Force to her leadership on the House Science, Space, and Technology Committee, Stevens brings a unique perspective on the challenges and opportunities facing American industry.In this episode, we explore how Michigan—and the U.S. as a whole—can maintain its competitive edge in manufacturing, navigate the future of the EV market, and ensure the workforce is prepared for the next generation of industrial technology. If you care about the future of manufacturing, this conversation is one you won't want to miss.Listen to learn:Why Michigan's EV industry is facing a critical turning point and what policies will determine its long-term successHow the CHIPS and Science Act is reshaping U.S. manufacturing—and the next frontier in supply chain securityWhy industrial AI and automation adoption are accelerating—and what's missing from America's strategyThe hidden workforce gap in manufacturing education that could stall industry growthWhat a little-known manufacturing success story in Michigan reveals about the future of U.S. innovation3 Big Takeaways from this Episode:America's EV strategy is at a crossroads. Policy decisions made now will determine whether the U.S. leads in electric vehicle manufacturing or falls behind. Workforce training and battery production will be key to staying competitive.CHIPS and Science was just the start. While the act boosted domestic semiconductor production, gaps remain in minerals, advanced materials, and supply chain resilience. A national strategy is needed to secure the future of U.S. manufacturing.Industrial AI is evolving faster than policy. Manufacturers are adopting AI-driven automation, but without a clear national framework, workforce development and industry competitiveness risk falling behind global leadersResources in this Episode:Visit Congresswoman Haley Steven's Page: stevens.house.govConnect with the Congresswoman Online:X / TwitterWe want to hear from you! Send us a text message.Instagram - Facebook - YouTube - TikTok - Twitter - LinkedIn

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.

In this episode of the Manufacturing Culture Podcast, host Jim Mayer speaks with Bryan DeBois, the director of industrial AI at Rova-Sys. They discuss Bryan's journey from a young programmer to a leader in AI, the importance of mentorship, and the evolving role of AI in manufacturing. Bryan shares insights on generational differences in the workforce, the challenges of implementing AI, and the significance of building a positive company culture. The conversation highlights the need for continuous learning and adaptation in the face of technological advancements. Takeaways Discovering a passion for programming at a young age can shape a career. Transitioning from technical roles to leadership requires preparation and willingness. AI has the potential to solve real operational problems in manufacturing. Generational differences impact how employees are motivated and managed. Building a positive company culture is essential for innovation and engagement. High expectations should be paired with coaching and support. Empowering employees to solve problems fosters a proactive work environment.Capturing expertise before it is lost is crucial for organizational knowledge. AI should enhance human capabilities, not replace them. Continuous learning and preparation are key to seizing opportunities.