AI at Scale

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.

Rumman Chowdhury: AI red teaming and right to repair

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.

Julia Peyre: AI innovation inside out

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.

Alexander Chia: Going underground with AI

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.

Manu Sharma: How AI models learn with data labeling

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. 

Natalya Philogene: GenAI: your new finance mate

In this episode of the AI at Scale podcast, Natalya Philogene, Head of Internal Control at Schneider Electric, describes the Finance Assistant Chatbot, winner of the 2024 Digital Finance Awards by Future of Finance in the Innovation category.
Natalya explains how using a finance chatbot transformed the work of her team, and inspired them to drive more innovation. Next, she shares insights about the development of this solution, first reactions, ways to ensure adoption, and achievements. She highlights that collaboration between domain experts and AI experts is the key, and she unveils other conditions that make GenAI solutions work at scale. 

Emily Reid: AI for all: mitigating bias in AI systems

The mission of a non-profit organization AI4All, headed by our guest Emily Reid, is to create the next generation of change makers. In this conversation we tackle the topic of bias – what it is, how it may influence our life when baked into AI applications, and how to mitigate it.  

Michael Lotfy Gierges: The AI-powered future of homes

In this episode of the AI at Scale podcast, Michael Lotfy Gierges, EVP Home and Distribution at Schneider Electric, describes the AI-powered future of homes. He introduces Wiser Home, a home energy management solution that employs predictive algorithms to learn from user habits, real-time weather forecasts, tariff data, and solar production capability.

Sreedhar Sistu: AI for energy, AI for real challenges

The fact that AI can be applied in multiple disciplines makes it a powerful technology. Our guest, Sreedhar Sistu, VP Customer Offers at Schneider Electric explains that while AI can create damage when used with wrong intentions, it can also solve critical problems. One of them is growing energy demand - finding solutions to decrease energy consumed in buildings and industry is high on Sreedhar's agenda. 

Mia Shah-Dand: AI ethics in action

What does it mean for AI to be ethical? In the AI world, it can be associated with different aspects such as trustworthiness, responsibility, cybersecurity, algorithmic justice, etc. In this episode of the AI at Scale podcast we welcome Mia Shah-Dand, founder of Women in AI Ethics, and CEO of Lighthouse3 to define key aspects of AI ethics and find practical approaches to achieve it.