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Event Recap2026-09-29

September 2026 AI Dinner - NVIDIA Special

"The convergence of silicon and soul. An unforgettable evening of deep tech and high gastronomy."

Member Only Summary

Join us for a special edition of the London AI Dinner, spotlighting NVIDIA and the infrastructure powering the next wave of enterprise AI. On 29th September 2026, we welcome Ross Verrall, who leads NVIDIA's Enterprise Services business across EMEA, as our keynote speaker, alongside Phil Hewinson, Founder of Multiply Academy, on bringing AI capability into organisations. Doors open at 6:00 PM for a sponsored reception (by approval) running until 7:30 PM, with dinner and talks from 7:30 PM at The Clermont London, Charing Cross. An intimate, high-security setting limited to 50 executives.

Ross Verrall
Keynote Speaker

Ross Verrall

Ross is responsible for NVIDIA's Enterprise Services business across EMEA, based in the UK. Having joined NVIDIA in 2018 he's experienced a huge growth in the demand and incredible advances in what can be achieved leveraging NVIDIA full stack approach to accelerated computing. Combining both the technical and commercial considerations of leveraging these cutting edge technologies Ross spends a lot of his time consulting on technology strategies with both NVIDIA's customers and partners. As part of the NVIDIA EMEA leadership teams for "Women in Technology" and our philanthropic "Inspire365" groups, Ross really enjoys giving back to the community and supporting others to be successful, bringing his sense of positivity and passion to every situation with a relentless approach.

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Full Transcript

Welcome to this special edition of the AI Dinner Club podcast. Tonight, we're diving deep into the future of generative agents and the incredible conversations that took place during our latest dinner. The atmosphere was electric as founders and researchers shared insights on scaling laws and emergent behaviors.

One of the key takeaways was the shift from simple completion models to autonomous agentic workflows. We discussed how memory and tool-use are becoming the primary bottlenecks for truly useful AI integrations. Our keynote speakers highlighted several projects that are already pushing the boundaries of what's possible in multimodal systems.

As we sat around the table, the intersection of soul and silicon became palpable. It wasn't just about the benchmarks; it was about the ethical implications of the tech we're building and how we can ensure these systems remain aligned with human values while driving massive productivity gains.

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