AI at Scale

Taimur Rashid: GenAI and the art of the possible

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.

Audrey Hazak: The future of customer experience with AI

 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. 

Dominik Wee: AI and intelligent manufacturing

"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.

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.