“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 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.

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.