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 AVEVA

“You need visibility into what your AI systems are doing.” 

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, you will learn:

✔ why quality is a promise, not just an inspection step

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 

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:

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: 

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: 

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: 

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.