AI at Scale

What if your company’s greatest AI breakthrough isn’t a new tool, but your people? In this episode of AI at Scale, we sit down with Jean-Côme Renaudin, Director of the Data & AI School at Schneider Electric, to uncover how one of the world’s largest industrial companies is turning 150,000 employees into AI-literate innovators. Jean-Côme  walks us through Schneider Electric’s three-phase approach: Learn, Act, Advocate. If you're looking for a proven roadmap to scale AI learning across your enterprise, this episode delivers both inspiration and actionable insights. 

“Every minute we could save for our employees through automation matters.” says Anna Gawlicka, AI and Adoption Lead for HR Digital Services at Schneider Electric. With that mindset, her team joined forces with Schneider's AI and IT experts to create Jo-Virtual Assistant - a GenAI-powered chatbot supporting Schneider employees in their daily HR and IT questions. It’s a story of continuous improvement, collaboration, and responsible introduction of GenAI solutions. 

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. 

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.

“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.  

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.

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.

"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. 

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.

 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.