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.

We will be back with the new format and new episodes on September !

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.