AI at Scale

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. 

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. 

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.  

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.

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. 

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. 

Smart watches, smart washing machines, smart homes... what about power systems? Are they also getting smart? In the next episode of the AI at Scale podcast we invite Natasha Nelson, VP, EcoStruxure Power for End User at Schneider Electric to unveil the topic of smart power systems. 

In this episode we welcome Manoj Puthenveetil, Chief Technology Officer at Qmerit - a company that focuses on installation and integration solutions for energy transition technologies. In the show Manoj shares insights on EV's charging trends and how AI helps to unlock access to clean energy.

In this episode we bring questions that customers across market segments are asking today. Ilda Metani, Head of Industry AI Consulting at Schneider Electric, shares insightful stories about creating value from AI. Gosia Gorska, host of the show, asks Ilda how businesses can become more agile and digital driven, how to democratize data and AI internally, and tackle issues like sustainability at the same time. In the second part of the show, Ilda unveils what’s the focus area and starting point for businesses that want to use AI at scale. She also gives practical examples from her experience in advising the customers. 

In the fifth episode of the AI at Scale podcast Alex Rykhva, Chief Data Officer at Louis Dreyfus Company, shares insights on how new technology, especially AI, is changing agriculture. Alex explains the evolution of use of technology and data in agriculture, new methods of assessing and predicting yields of different products around the year, and some of the challenges and opportunities ahead.

Una Shortt, Chief Data Officer, SVP Data & Performance at Schneider Electric, shares the story about trusted data being the new currency for business. She explains why there is a need to collect and process high-quality data, why not all data holds the same worth, and finally why the type of data is becoming a key differentiator for companies.

Claude Le Pape-Gardeux, Data and AI Domain Leader at Schneider Electric, defines frugality of AI solutions and shares his point of view on the “new energy” demand vs. the current need to be energy efficient. In the show Claude shares with Gosia Gorska, the host of the podcast, useful tactics to measure AI successfully and effectively. The episode's second part is dedicated to the topic of constant improvement of measurement methods and cooperation with academic partners. 

In the second episode, we welcome Allison Sagraves, AI and Data Advisor, Chief AI and Data Officer Faculty at Carnegie Mellon University, beekeeper, and forest steward. The main topic of the episode is the discussion about today’s search for AI unicorns - not only among start-ups but also C-level executives and AI experts. 

In the first episode Philippe Rambach, Schneider Electric's Chief AI Officer, answers some of the most difficult questions that a Chief AI Officer can receive. He explains when it is necessary to use AI and when not, the sustainable and frugal approach to AI, and finally, talks about three pillars of AI supporting decarbonization and energy savings. Then, in the second part of the show, Philippe shares practical insights for businesses about implementing AI at scale in the company to ensure return on investment and value from AI.