AI at Scale

"AI systems seem to behave differently, think differently than human beings do, which means they need to be managed differently."-  Arti Garg, Chief Technologist at AVEVAWhen industrial AI leaves the screenAs industrial AI moves into factories, power grids and critical infrastructure, there’s a lot more to consider than what you see on the screen.  How do you make industrial AI more capable and more responsible at the same time? That's the big question in this episode of the AI at Scale podcast. Tom Kroczak talks with Arti Garg, Chief Technologist at AVEVA – an astrophysicist by training who has worked across science, technology, business and public policy. Her take: getting industrial AI right takes more than a smart model.

“You need visibility into what your AI systems are doing.” — Sam Crowder, Head of Product at LangChain 
The challenge of managing AI agents at scale 
Building an AI agent demo is one thing. Moving it into production at scale is another. There, it interacts with real users, enterprise data and business systems. As AI agents perform tasks and workflows, one question becomes critical: What does it mean to own your AI? 
In this episode of the AI at Scale podcast, Tom Kroczak speaks with Sam Crowder, Head of Product at LangChain. They discuss how to move AI agents beyond experimentation with observability and informed choices. The goal: reliable, real-world applications. They also explore evaluation and the future of technology  as agentic AI scales. 

Artificial intelligence is moving from ambition to everyday business operations. Yet many organizations still struggle to turn AI investments into measurable results.
In the latest episode of the AI at Scale podcast, KJ Kusch, Global Field CTO at WalkMe, joins Tom Kroczak to discuss one of the biggest barriers to AI transformation: adoption.
Drawing on her work with global organizations, KJ introduces the concept of the “AI Theater”: AI that looks successful on paper but fails to deliver sustained employee adoption or business impact.

"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.

“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 

“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.
 

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. 

“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. 
 

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. 

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.