AI at Scale

"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. As we publish this episode, Julia has been appointed as the Head of AI Strategy and Innovation of Schneider Electric.

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. 

Natalya Philogene, Head of Internal Control at Schneider Electric, is an expert in finance and sustainability innovation. In this discussion, she reveals how her award-winning Finance Assistant Chatbot revolutionized her team's workflow and sparked innovation. Natalya shares insights on partnering finance with AI experts to ensure successful integration. The chatbot's impressive launch saw 1,500 users and a 95% accuracy rate, underscoring the importance of training and collaboration in harnessing GenAI for value creation.

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, EVP Home and Distribution at Schneider Electric, pioneers sustainable energy solutions for intelligent homes. He discusses the innovative Wiser Home technology, which adapts to user habits and external factors for optimized energy management. The conversation highlights AI's role in reducing carbon emissions while maintaining privacy. Michael also emphasizes the importance of predictive maintenance and the balance between advanced efficiency and data security, showcasing a future where homes are both smart and sustainable.

Sreedhar Sistu, VP Customer Offers at Schneider Electric, specializes in applying AI to energy management and sustainability. He discusses how AI can address critical challenges like rising energy demand by optimizing consumption in buildings and industry. Sistu shares insights from his testimony before Congress on AI's transformative impact on energy management and the need for education to overcome misconceptions. He emphasizes the potential of Generative AI in managing data and highlights the importance of promoting carbon-neutral practices for a sustainable future.