The explosive growth of artificial intelligence demands a paradigm shift in how we build and power its infrastructure. Join Urs Hölzle, Google Fellow, and Parthasarathy Ranganathan, VP, Engineering Fellow at Google Cloud, for a fireside chat exploring the critical intersection of intelligent infrastructure and sustainable energy.

They will delve into the challenges and opportunities of scaling AI, from the hardware powering massive models to the energy sources that fuel them. Discover how innovative approaches to infrastructure design and energy efficiency are shaping the future of AI, 25 years of cloud infrastructure design at Google, and what is coming for the next 25 years.

It feels like there’s a new advancement happening in AI every day – but how do these discoveries go from their nascent state in the research lab to full-scale enterprise deployment?  And how do we ensure that these new tools and capabilities remain secure? Our panelists will explore this cycle of innovation – the iterative process of curiosity-driven research, practical application, and real-world impact of AI and machine learning. We'll examine practical case studies and underscore the transformative power AI has in the realm of security.  

Topics will include: 

• How Google connects AI research with real-world solutions for some of the largest enterprises in the world
• Google Cloud’s AI roadmap
• Cybersecurity considerations for emerging AI tools

Join us in this fireside chat with Phillipp Schmid, Technical Lead of Hugging Face, a collaboration platform for the machine learning community where anyone can share, explore, discover, and experiment with open-source ML. Phillipp will talk about the benefits of open source going into production with generative AI applications – everything from versioning, evaluating, monitoring, and data drift. He will highlight the challenges of evaluating large language models (LLMs), including what works today and where we need to improve. Join us for his thoughts on the role of cloud computing in accelerating AI and how Hugging Face is leveraging it to build an open, ethical, and collaborative AI future.

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