What if AI could address the most persistent challenges in the industry? In this episode of AI at Scale podcast Malini Nambiar, Digital Customer Innovation Director for AI Applications at Schneider Electric, tells the story of how customer insights helped develop a GenAI assistant that solves some of the most pressing pain points of industrial companies: talent gap, long learning curves,  legacy programming languages and time-consuming code customization. The solution: Industrial Copilot for PLC. Built on Schneider Electric’s trusted PLC libraries, it helps developers generate robust, working code—fast.  

Are you sure you know how to save energy nowadays? Can the apps that control your lighting, heating, and car charging make decisions on their own? And is AI really working behind the scenes of our everyday choices? In this episode of AI at Scale, Malgorzata Gorska talks to Scott Harden, SVP Connected Offers and Chief Technology Officer Home Solutions at Schneider Electric. What does the home of the future look like - one that not only consumes energy, but also produces it, analyses it, and feeds it back into the grid? All with the help of AI that’s... practically invisible? In this episode, you'll learn:- How artificial intelligence optimizes energy use in the background - with no effort on our part,- Why smart home apps are often too complicated - and how to simplify them,- Which smart devices are most used in households around the world, - Whether it’s really worth charging your car at night - and how AI can help you decide.

What does it mean when AI influences who gets a job, a loan, or even a second chance? In this episode, Renée Cummings, criminologist, data activist, and Professor of Practice in Data Science at the University of Virginia, shares a compelling look at how algorithmic systems can shape human lives and why leaders must pay attention. Renée draws from her experience in criminal justice and public policy to reveal how data-driven decisions can reinforce bias—or drive equity—depending on how they’re built and governed. She introduces the concept of “competitive vigilance” and explains why understanding the human consequences of AI is not just ethical - it’s essential for innovation and leadership. If you're navigating digital transformation, this conversation will help you see AI through a more human, strategic lens.This episode was published in May, but we want to remind this important topic while we work on new episodes and enjoy summer holidays.

What if your building could think for itself - anticipating needs, optimizing energy use, and enhancing occupant comfort without human intervention?   In this episode of AI at Scale, we sit down with Sadiq Syed, SVP of Digital Buildings at Schneider Electric, to explore how AI at the edge is revolutionizing the built environment. From real-time responsiveness to measurable energy savings and fewer occupant complaints, this conversation reveals how intelligent systems are transforming facility management from reactive firefighting to proactive orchestration.

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. 

"The combination of human expertise and the right technology has always been the key to success in manufacturing," says Dominik Wee, Corporate Vice President (CVP) 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 talks about AI augmenting human capabilities and the importance of human-machine collaboration, sharing examples of generative AI's power.

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.

How to identify risks in AI models? Red teaming is one of the options, says the guest of AI at Scale podcast - Dr. Rumman Chowdhury, CEO of Humane Intelligence, US Science Envoy for Artificial Intelligence.  Rumman guides us through her approach to detecting risks, ensuring transparency and accountability in AI systems. She emphasizes the importance of responsible AI practices and shares her perspective on the role of regulation in fostering innovation. Recognized as one of Time's 100 most Influential People in AI, she offers valuable insights on navigating ethical challenges in AI development.

How exactly do we innovate with AI? In this episode of the AI at Scale podcast, Gosia Gorska is joined by an expert from the Schneider Electric AI Strategy and Innovation team – Julia Peyre. Julia unveils the strategic decision-making process between developing AI solutions in-house versus finding ready-to-use, suitable AI products. What's more, we examine the key criteria to consider when evaluating new AI solutions and the methods that Julia uses to test new AI technologies.As we publish this episode, Julia has been appointed as the Head of AI Strategy and Innovation of Schneider Electric.

What's happening underground in New York City? Gosia Gorska meets Alexander Chia, Engineer from Con Edison, to explore the challenge of detecting faults in underground power system across the area of 700 km². What’s at stake? The risk of not finding the fault and not repairing it on time, can put the low voltage grid in a very stressed state, and it can sustain damage that takes weeks or months to repair. Can AI help to find faults more accurately? Listen now to discover the AI project where Alexander joined forces with Schneider Electric’s AI experts.

What does it take to create a well-operating AI model? In this episode of the AI at Scale podcast, Gosia Gorska welcomes Manu Sharma, the Founder and CEO of Labelbox, the leading data factory for building next-generation AI. Manu starts with explaining what data labeling is. He highlights the critical role of data labeling in AI development, the evolution of data annotation techniques, and the future of AI technologies. He shares his extensive experience in aerospace engineering, AI research, and entrepreneurship, highlighting how his company supports businesses in aligning and training their AI models through high-quality data labeling.