We are proud to announce that Decision Lab’s CEO, David Buxton, has been invited to join the techUK Digital Twins Council for the 2026-2028 tenure.
The Digital Twins Council plays a critical role in the UK’s technology ecosystem. It brings together industry leaders to shape policy, drive innovation, and establish the cross-sector standards necessary to make Digital Twin technology scalable and secure. David’s appointment is not just a recognition of Decision Lab’s technical pedigree; it is an opportunity to bring a distinct, forward-looking philosophy to the national table.
The Evolution of the Digital Twin
To understand why this appointment matters, we must look at where the technology stands and where it needs to go.
Historically, Digital Twins have been tools for monitoring. They created a high-fidelity digital mirror of a physical asset—be it a jet engine or a water treatment plant—allowing operators to see exactly what is happening in real-time without physical inspection.
More recently, the industry has shifted towards resilience. By using simulation, we can predict what might break under pressure. This allows organisations to reinforce their systems against failure. While valuable, resilience is essentially defensive; it is about surviving the shock.
The Decision Lab View: Engineering Antifragility
At Decision Lab, we believe the next frontier is Antifragility and for Digital Twins that mean becoming Agentic. By combining high-fidelity environments with autonomous AI agents, we move beyond asking “What will break?” to asking “How can this system evolve?”
An antifragile system does not just withstand stress; it learns and improves. When we integrate Agentic AI into Digital Twins, we engineer systems that can learn from volatility and adapt their operations dynamically. This shifts the paradigm from static representation to dynamic, self-optimising reality.
Shaping the National Strategy
David’s presence on the Council helps ensure that this ‘Antifragile’ approach becomes a core part of the UK’s Digital Twin strategy.
As the UK looks to overhaul critical infrastructure—from energy grids to transport networks—we cannot settle for systems that are merely robust. We need infrastructure that is intelligent and adaptive. By advocating for the convergence of Deep Reinforcement Learning and Digital Twins, we hope to help steer the UK towards a more intelligent industrial future.
Join the Conversation
We are excited to contribute to the Council’s work over the next two years. If you are interested in the technical philosophy behind our approach, we invite you to explore our research.
- Interested in how we engineer antifragility? Read our White Paper (SC focus).
- Digital Twin and Reinforcement Learning: The Power Couple of Decision Science: Integrating Simulation and Optimisation (FedEx case study).
To discover how Agentic AI can make your Digital Twins antifragile, contact us!
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