AI at Scale

Schneider Electric

The Schneider Electric AI at Scale podcast invites all AI practitioners and AI experts to share their experiences, challenges, and AI success stories. Conversations maintained during the show provide answers to questions such as: How do I implement AI successfully and sustainably? How do I make a real impact with AI? The AI at Scale podcast features real AI solutions and innovations – all of them ready for businesses to harness and offers a sneak peek into the future.

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#46
Monday · 22 min
Brigitte Begasse: Achieving quality excellence with AI
"AI is not replacing quality expertise. It is helping us scale learning, scale expertise, and turn insight into action faster." In this episode of the AI at Scale Podcast, Brigitte Begasse, Senior Vice President of Customer Satisfaction and Quality at Schneider Electric, explores what AI really changes in two areas where the stakes are high: quality and customer experience. In this episode, you will learn: ✔ why quality is a promise, not just an inspection step ✔ how AI helps predict and prevent risks earlier, not just detect them ✔ why data needs the right models and ontology to create trusted insight ✔ how AI scales expert knowledge instead of replacing experts ✔ why transformation is about workflows and ownership, not just tools ✔ what predictive quality looks like — and why it matters for customers Listen to the AI at Scale podcast.
#45
June 15 · 23 min
Chris Sharp & Steven Carlini: AI Factories: Power, Cooling & Token Economics
“AI is often framed as a software revolution. But the real constraint isn’t software. It is whether we can power and cool it at scale". In this episode of the AI at Scale Podcast, Chris Sharp, Chief Technology Officer at Digital Realty, and Steven Carlini, Thought Leadership Leader at Schneider Electric, explain a fascinating shift in the data center industry. AI is not only about AI models or chips. As data centers are becoming AI factories success depends on physical systems that must keep up. There is a clear message on planning: decision makers need to design for what is coming, not what exists today. Building only for current demand will not hold up. For C-level executives, this is a practical view of where AI can slow down and what needs attention now. In this episode, you will learn: ✔ why power and cooling must be designed as one system to support AI innovation ✔ how rising power density is changing data center design ✔ what token economics means for cost, value, and ROI ✔ why planning ahead is critical to avoid future limits ✔ how infrastructure decisions affect AI performance and growth
#44
May 21 · 16 min
Rick Blair: AI & Accessibility: Removing Barriers
“Accessibility starts with awareness. When we design with accessibility in mind, everyone benefits.” In this special episode of the AI at Scale Podcast, released on Global Accessibility Awareness Day 2026, Rick Blair, Senior Principal, Digital Accessibility Program Manager at Schneider Electric, shares a perspective on AI accessibility everyone should hear. Based on his personal and professional experience, he explains how AI is already changing daily life for people with disabilities. Tools such as image recognition and content generation are enabling independence, improving productivity, and opening new opportunities. In this episode, you’ll hear about: ✔ how AI supports accessibility in real-life scenarios and helps create more inclusive digital experiences ✔ what barriers still exist in digital environments ✔ why awareness and inclusive design matter at every stage For C-level executives, it is a clear call to act , and unlock the full value of AI for people, performance, and growth.
#43
May 12 · 19 min
Ghaia Belaakaria: Downsizing AI: small models with big impact
In this episode of AI at Scale podcast, I sit down with Ghaia Belaakaria, Senior Data Scientist, Embedded AI at Schneider Electric, to explore a powerful shift in how enterprises think about artificial intelligence. This conversation focuses on embedded and edge AI, where intelligence runs directly on devices, close to the physical world. What you will learn: Why smaller AI models are critical for scalability, robustness, and sustainability How embedded and edge AI improve safety, reliability, and efficiency in real‑world systems Examples of where edge AI is already creating value across segments The trade‑offs leaders must understand when downsizing AI models without losing performance Which future applications—tinyML, robotics, physical AI— will have the biggest impact It is a great episode to rethink AI beyond the cloud and discover a pragmatic perspective on when less can truly be more.
#42
April 28 · 17 min
Irina Zubova & Sam Youssif: When AI Meets Customer Support
“How much value is hidden in your customer support data?” In this episode of AI at Scale podcast, we bring together two senior leaders: Irina Zubova, Vice President Customer Support & AI Operations at Schneider Electric, and Sam Youssif, Vice President Customer Support at Schneider Electric. Together, they take listeners behind the scenes of one of the world’s largest customer support operations, handling over four million interactions annually. Moreover, they explain how AI is fundamentally changing the role of support. What will you learn: How AI is reshaping customer support into a strategic growth engine, Why the future of support is a symbiosis between AI co‑pilots and human expertise, How millions of customer interactions can be transformed into actionable insights for the entire enterprise, Where AI delivers the most value across the end‑to‑end customer support journey, How to scale AI globally while balancing rapid experimentation, governance, and operational excellence.
#41
April 14 · 24 min
Marek Kowalkiewicz: The economy of algorithms
Are algorithms quietly redistributing economic power—faster than most leaders are prepared for? In this episode of the AI at Scale podcast, we dive into the Economy of Algorithms with Marek Kowalkiewicz—Professor of the Digital Economy, globally recognized AI thought leader, and author of the book by the same name. Drawing on academic research, Silicon Valley experience, and global leadership roles across Asia, Europe, and Australia, Marek explains why artificial intelligence is no longer just a tool for efficiency—but an active economic agent that creates value, makes decisions, and reshapes markets at scale. This episode is essential listening for executives who sense that the rules of the game are changing—and want to understand who will win, who will lose, and why. In this episode, you’ll learn: Why AI should be treated as an economic agent, not just a technology—and what that changes for leadership, governance, and accountability Where AI truly creates value today, and why separating signal from noise has become a strategic challenge Why ROI from AI is so hard to measure, even as AI output becomes cheaper, faster, and more abundant What’s becoming commoditized—and what’s becoming more expensive, from content creation to accuracy, trust, and decision quality How algorithm‑optimized thinking can quietly distort strategy, erode judgment, and reduce real business value Why your next competitor may not be a company, but a swarm of small players—or AI agents—coordinating at scale This is a must‑listen conversation for everyone navigating an economy increasingly shaped by algorithms.
#40
March 31 · 24 min
Clayton Mohamed: How to build the best workplace for AI and digital?
What does it take to build a workplace where AI and digital talent not only join—but stay, grow, and thrive? In this episode of the AI at Scale Podcast, we sit down with Clayton Mohamed, VP HR at Schneider Digital, who has spent the last six years shaping the company’s digital talent strategy and building the operating model behind Schneider Electric’s global AI Hub. With more than 18 years at Schneider, Clayton has witnessed every phase of digital transformation—from early experimentation to today’s enterprisescale AI adoption. Why this episode matters The rise of AI has created a massive shift in workforce expectations. Digital talent today wants: ✅ real growth paths, not just peoplemanager roles ✅ space for experimentation, research, and technical depth ✅ a culture that treats AI as an enabler—not a threat ✅ transparency around skills, levels, and opportunities ✅ a company that invests in continuous learning Clayton explains how Schneider Electric is responding—through programs designed specifically for digital mastery, career clarity, and longterm retention. If you're an HR leader, digital leader, or anyone building an AI-capable organization, this episode is a masterclass.
#39
March 17 · 21 min
Tamilla Triantoro: Work rewired: human + AI
What if the real competitive edge in 2026 isn’t AI itself, but how your organization learns to work with it? In this episode of AI at Scale podcast Tamilla Triantoro, Associate Professor of Business Analytics and Information Systems at Quinnipiac University, and Co-author of Converging Minds, is setting the stage for a profound rethink of how leaders design work in a “human + AI” era. As AI shifts from a simple chatbot to an agent capable of acting across systems, Tamilla challenges executives to confront the practical questions: How to divide tasks between human and AI, assuring trust, transparency and necessary transfer of knowledge? What happens when AI in unhelpful and what risks it can carry for employees and organizations? How to set boundaries in creative and strategic tasks for AI agents? Furthermore, Tamilla unpacks why the future belongs to leaders who see beyond automation and understand behavioral, cultural, and structural aspects of work required to make human–AI collaboration truly thrive. What you will learn from this conversation: the 4 real modes of human–AI collaboration — and how to use them, why trust is the crucial ingredient in AI adoption, how AI reshapes behavior at work, the key AI trends leaders overlook, from trust to agentic workflows. Tune in to discover a clear, research backed view of how AI is transforming work today and get ready for the future.
#38
February 26 · 26 min
Mike Labhart: On the shopfloor of AI-driven factories
Can AI really spot risks faster than any sensor? How far are we from the autonomous supply chain? In this episode of the AI at Scale podcast, Mike Labhart, North America Global Supply Chain Director for Smart Operations & Data Analytics of Schneider Electric, walks us through the most valuable AI use cases in manufacturing and what’s next in smart factories. What you will learn from this conversation : - how AI detects safety risks earlier than traditional sensors, from smoke to missing Personal Protection Equipment (PPE), - how deep‑learning and image recognition improves quality and helps to identify ergonomics risks across dozens of sites, - how machine learning prevents costly downtime thanks to predictive maintenance, - why clean, consistent data naming is key to scaling AI across factories, - what agentic AI means for the future of manufacturing, - why autonomous supply chains are within reach now. Get a unique chance to hear directly from a seasoned smart factory leader on what it means to build AI that powers the next generation of factories.
#37
January 20 · 21 min
Katya Lainé: A day in the life of an AI company founder
What does it take to lead an AI company? In this episode of AI at Scale, we sit down with Katya Lainé — CoFounder & CEO of TALKR.ai, President of the AI Commission at Numeum, CoFounder and VicePresident of Le Voice Lab, and CoFounder of OpenLLM France — to get a unique glimpse into the daily life of an AI company founder. For any leader navigating business strategy and AI implementation, this conversation offers rare clarity on what truly drives AI success inside enterprises: being prepared to change processes and ways of working. What will the future demand from those at the forefront? Learn from this conversation. What you will learn: How AI companies can innovate when data, tools, and ecosystems are limited How leaders balance product, ethics, and execution in customer‑facing AI What an AI founder’s day really looks like behind the scenes How voice‑AI transforms customer journeys and internal processes What skills and mindsets future AI leaders must build now
#36
Dec 15, 2025 · 30 min
Siddhi Pal: Planning for AI and green skills shortage
"We often discuss the green transition and digital transformation in isolation, without systematically mapping where these skill sets actually overlap, or more importantly, where they don't." says Siddhi Pal, Senior Policy Researcher at Interface. In this episode of the AI at Scale podcast Siddhi explains why the combination of AI and green skills — named “twin transition skills” — is emerging as one of the most valuable capabilities in today’s economy. In this episode, you’ll learn: why defining and measuring green skills is critical for future workforce planning, which green skills are common among AI professionals, and which are still rare, how companies can balance internal reskilling with strategic external hires, what actions can help close the gender gap and expand talent pools. If you’re planning for growth in an era of climate action and AI acceleration, this episode delivers insights you can act on today.
#35
Dec 2, 2025 · 20 min
Kim Custeau: AI that understands industry: connecting systems, data and people
“AI will always keep the human at the center, it’s a guidance tool, not a replacement,” says Kim Custeau, Executive Vice President at AVEVA. What does that mean for the future of industrial operations? In this episode of AI at Scale, Kim shares how AI is moving beyond hype to become a practical enabler of efficiency, resilience, and sustainability. In this episode, you’ll learn: Why AI adoption should begin with clear use cases. How embedded AI assistants democratize access to trusted data and preserve critical knowledge for new employees. How AI-driven automation of complex tasks boosts efficiency while keeping humans in control. Practical steps leaders can take today to prepare their teams for dynamic, personalized AI-driven operations.
#34
Nov 13, 2025 · 12 min
Philippe Rambach: Innovation Summit Special: AI for energy and industry
AI is just a tool, but when strategically deployed, it can become the key to more efficient future of energy and industry. In this special episode of AI at Scale, recorded live at Innovation Summit Copenhagen, Schneider Electric’s Chief AI Officer, Philippe Rambach, shares how the company innovates with AI by implementing it across the entire portfolio. This deployment at scale is focused on solving real-world problems: optimizing energy consumption, extending asset lifecycles, and empowering engineers with intelligent tools that boost productivity and reduce operational workloads.
#33
Oct 27, 2025 · 24 min
Malini Nambiar: How AI is changing industrial engineering
What if AI could address the most persistent challenges in the industry? In this episode of AI at Scale podcast Malini Nambiar, Digital Customer Innovation Director for AI Applications at Schneider Electric, tells the story of how customer insights helped develop a GenAI assistant that solves some of the most pressing pain points of industrial companies: talent gap, long learning curves, legacy programming languages and time-consuming code customization. The solution: Industrial Copilot for PLC. Built on Schneider Electric’s trusted PLC libraries, it helps developers generate robust, working code—fast.
#32
Oct 1, 2025 · 20 min
Scott Harden: AI that makes your home smarter
Are you sure you know how to save energy nowadays? Can the apps that control your lighting, heating, and car charging make decisions on their own? And is AI really working behind the scenes of our everyday choices? In this episode of AI at Scale, Malgorzata Gorska talks to Scott Harden, SVP Connected Offers and Chief Technology Officer Home Solutions at Schneider Electric. What does the home of the future look like - one that not only consumes energy, but also produces it, analyses it, and feeds it back into the grid? All with the help of AI that’s... practically invisible? In this episode, you'll learn: - How artificial intelligence optimizes energy use in the background - with no effort on our part, - Why smart home apps are often too complicated - and how to simplify them, - Which smart devices are most used in households around the world, - Whether it’s really worth charging your car at night - and how AI can help you decide.
#31
Aug 11, 2025 · 27 min
Renée Cummings: The human impact of algorithmic systems [replay]
What does it mean when AI influences who gets a job, a loan, or even a second chance? In this episode, Renée Cummings, criminologist, data activist, and Professor of Practice in Data Science at the University of Virginia, shares a compelling look at how algorithmic systems can shape human lives and why leaders must pay attention. Renée draws from her experience in criminal justice and public policy to reveal how data-driven decisions can reinforce bias—or drive equity—depending on how they’re built and governed. She introduces the concept of “competitive vigilance” and explains why understanding the human consequences of AI is not just ethical - it’s essential for innovation and leadership. If you're navigating digital transformation, this conversation will help you see AI through a more human, strategic lens. This episode was published in May, but we want to remind this important topic while we work on new episodes and enjoy summer holidays.
#30
Jul 28, 2025 · 21 min
Sadiq Syed: What does "comfort" mean in the age of AI
What if your building could think for itself - anticipating needs, optimizing energy use, and enhancing occupant comfort without human intervention? In this episode of AI at Scale, we sit down with Sadiq Syed, SVP of Digital Buildings at Schneider Electric, to explore how AI at the edge is revolutionizing the built environment. From real-time responsiveness to measurable energy savings and fewer occupant complaints, this conversation reveals how intelligent systems are transforming facility management from reactive firefighting to proactive orchestration. We will be back with the new format and new episodes on September !
#29
Jul 16, 2025 · 20 min
Jean-Come Renaudin: Executive guide to AI upskilling
What if your company’s greatest AI breakthrough isn’t a new tool, but your people? In this episode of AI at Scale, we sit down with Jean-Côme Renaudin, Director of the Data & AI School at Schneider Electric, to uncover how one of the world’s largest industrial companies is turning 150,000 employees into AI-literate innovators. Jean-Côme walks us through Schneider Electric’s three-phase approach: Learn, Act, Advocate. If you're looking for a proven roadmap to scale AI learning across your enterprise, this episode delivers both inspiration and actionable insights.
#28
Jun 27, 2025 · 24 min
Anna Gawlicka: Against hallucinations: creating a RAG-based chatbot for HR and IT queries
“Every minute we could save for our employees through automation matters.” says Anna Gawlicka, AI and Adoption Lead for HR Digital Services at Schneider Electric. With that mindset, her team joined forces with Schneider's AI and IT experts to create Jo-Virtual Assistant - a GenAI-powered chatbot supporting Schneider employees in their daily HR and IT questions. It’s a story of continuous improvement, collaboration, and responsible introduction of GenAI solutions.
#27
Jun 16, 2025 · 33 min
Hamilton Mann: Artificial integrity
What if AI could do more than just make decisions? What if it could make the right ones? In this episode, Hamilton Mann, Group Vice President, Global Digital and AI Transformation for Strategy, Marketing and Sales, Thales, and author of Artificial Integrity book, invites us to rethink the very foundation of artificial intelligence. Instead of chasing ever-greater computational power, he proposes a paradigm shift: designing AI systems that are not only intelligent but also guided by integrity, baked into their code.

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