

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.
Episodes
Mentioned books

Jun 16, 2025 • 33min
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.

Jun 2, 2025 • 23min
Chitra Sukumar: Turbocharging digital engineering with GenAI
How can businesses prepare their engineering teams for the AI-powered future of software development? In this episode of the AI at Scale podcast, Chitra Sukumar, SVP, Digital Engineering and Tech Depth at Schneider Electric, explores how artificial intelligence is reshaping the way software and firmware are developed across industries.

May 19, 2025 • 34min
Evgeni Gousev: The next big thing in tech: edge AI
“Edge AI is the ultimate and probably only scalable way to do AI in the real world—collecting, analyzing, and acting on data where it lives” says Evgeni Gousev, Chair of the Edge AI Foundation and Senior Director at Qualcomm. In this episode he talks about the transformative power of edge AI and why it’s becoming a strategic priority for businesses across industries. Furthermore, he shares use cases that are already delivering measurable impact and addresses the challenges of deploying edge AI at scale.

May 5, 2025 • 27min
Renée Cummings: Designing AI systems for high-stakes decisions
How to make the most competitive AI systems? Renée Cummings, a renowned Professor of Practice in Data Science at the University of Virginia and a leading voice in AI ethics, talks about the importance of trust, transparency, and accountability in AI development, making a strong case for why these elements are essential for businesses aiming to leverage AI effectively. Furthermore, Renée shares her expertise on the intersection of AI and data justice, where AI is applied in high-stakes decision-making process.

Apr 21, 2025 • 25min
Ania Kaci: AI governance decoded
Where Does AI Governance Stop? Guess what? It doesn’t. AI governance extends far beyond setting policies and frameworks. In this episode we meet with Ania Kaci, Senior Principal, Responsible AI Leader at Schneider Electric. Ania shares her journey from AI research to leading responsible AI practices, explaining our comprehensive AI governance structure and multidimensional risk assessment framework. Moreover, she talks about the importance of involving diverse teams, including business, legal, and compliance experts, to fully address potential AI risks.

Apr 7, 2025 • 27min
Peter Weckesser: Making an IMPACT with AI
"AI is today where the Internet was about 30 years ago," says Peter Weckesser, Chief Digital Officer of Schneider Electric, in this episode of the "AI at Scale" podcast. Just as the Internet revolutionized every aspect of business and personal life, AI has the potential to do the same, and it has already become a catalyst for transformation and innovation for many companies.
Peter shares his views on building AI competitiveness through smart, balanced regulation. He highlights AI's current influence and future potential, providing practical advice for businesses navigating the digital landscape.

Mar 24, 2025 • 27min
Taimur Rashid: GenAI and the art of the possible
The most value for businesses will come from domain-specific models, pre-trained on proprietary data, says Taimur Rashid, Managing Director of GenAI Innovation and Delivery at AWS.
In this episode, you can learn how Taimur advices cutomers on identifying successful GenAI use cases, what's key in the design phase, and how his teams are monitoring the models in the production, maintaining their accuracy over time.
Taimur also shares about a GenAI use case with Schneider Electric, that resulted in considerable productivity gains.

Mar 10, 2025 • 22min
Audrey Hazak: The future of customer experience with AI
How is AI enhancing customer experiences and what’s next in this field? In this episode of the AI at Scale Podcast, Audrey Hazak, the SVP of Digital Customer Relationship at Schneider Electric, unveils how her teams are applying AI to drive digital transformation and what she thinks is the next frontier of digital customer experience.

Feb 24, 2025 • 24min
Dominik Wee: AI and intelligent manufacturing
"The combination of human expertise and the right technology has always been the key to success in manufacturing," says Dominik Wee, Corporate Vice President of Industry Solutions Engineering at Microsoft who is today's guest of AI at Scale podcast hosted by Gosia Gorska.
Dominik discusses transforming organizations with hardware and software integration, highlighting AI's impact on industries and technology democratization. Furthermore, he explains how AI can augment human capabilities and he highlights the importance of human-machine collaboration.

Feb 9, 2025 • 28min
Jeff Willert: Navigating sustainability data with GenAI Copilot
How to properly use AI in data systems? In this episode, host Gosia Gorska talks to Jeff Willert, the Director of Data Science at Schneider Electric, about the effective application of AI in data systems. He shares insights about the groundbreaking Resource Advisor solution and its newly integrated Copilot feature, designed to assist users in understanding and managing their energy consumption as well as carbon footprint.


