Sovereign AI: Take Control of Your AI Stack

Simon co-founded Terrestrial Energy and has led the company since 2014, advancing the development of the Integral Molten Salt Reactor — a next-generation nuclear technology designed to deliver clean, reliable, cost-competitive energy for industrial and data center applications. He brings over 20 years of finance and investment experience, having previously held senior roles at Man Global Strategies and Credit Suisse Financial Products, a London-based investment firm and a leading global bank in the derivatives sector. Simon holds an MA from Cambridge University and an MSc in Finance from London Business School.

Chris leads AI and Advanced Services for Broadcom's VMware Cloud Foundation division, helping enterprises prioritise and deploy AI with measurable business impact. His work spans AI architecture, private cloud strategy, and AI agent integration for enterprise IT. Before Broadcom, he was VP and CTO for Global Field & Industry at VMware, and prior to that Research VP at Gartner covering data centre and private cloud. He also authored the first book dedicated to x86 virtualisation.

Lawrence is CEO of TrustScale, where he is tackling the AI trust gap with deterministic RL and applied governance systems that challenge probabilistic AI outputs to protect and support AI makers, agent operators and end users. A serial technology executive, he has been CEO of several growth companies and spent years as Chief Digital Officer of National CineMedia (NASDAQ: NCMI) and at Microsoft. Lawrence is also a former PwC executive who holds a CPA and was an early big data pioneer.

Suman leads developer advocacy practices for inference and AI infrastructure at Crusoe AI, where his team focuses on optimizing LLM inference performance and energy-efficient AI compute. Previously a Principal Developer Advocate for AI/ML at AWS, where he led the global GenAI advocacy team, he has spoken at over 100 conferences including PyCon, PyData, and ODSC. He brings deep expertise in large language models, RAG, and bridging cutting-edge AI research with real-world developer practice.