The Schneider Electric AI at Scale podcast invites all AI practitioners and AI experts to share their experiences, challenges, and AI success stories. Conversat...
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.
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32:22
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.
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27:29
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.
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21:03
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.
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30:16
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.
The Schneider Electric AI at Scale podcast invites all AI practitioners and AI experts to share their experiences, challenges, and AI success stories. Conversations maintained during the show provide answers to questions such as: How do I implement AI successfully and sustainably? How do I make a real impact with AI? The AI at Scale podcast features real AI solutions and innovations – all of them ready for businesses to harness and offers a sneak peek into the future.
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