AI at Scale

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.