AI at Scale

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.

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.

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.

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

"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.