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John Roese, Global CTO at Dell Technologies, discusses how AI is reshaping corporate infrastructure and the risks of AI hype. Elisabeth Staudinger from Siemens Healthineers talks about gender health disparities and the economic impacts of addressing imbalances in healthcare.
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Quick takeaways
- Efforts are being made to optimize AI workloads by identifying suitable locations and ensuring infrastructure meets new requirements for processing and networking.
- Addressing gender biases in healthcare, particularly in diagnostic accuracy, through diverse data sets and leveraging AI technology for more inclusive healthcare.
Deep dives
The Shift to On-Premise AI Infrastructure
Enterprises are now transitioning from experimental AI phases to pinpointing where and how to apply this technology effectively for substantial economic impact. Focus is shifting towards identifying the best places to run AI workloads efficiently, ensuring economic viability, control, compliance, and addressing regulatory challenges. Efforts with ecosystem partners like NVIDIA aim to streamline decision-making complexity and simplify AI adoption.
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Listen to the best highlights from the podcasts you love and dive into the full episode