Alistair Garfoot

Alistair Garfoot is Mind Foundry’s Director of Intelligence Architecture, where he designs applications of AI technology to drive operational impact across verticals. With expertise across AI state-of-the-art and operational problem identification, Alistair accelerates the realisation of AI-driven impact at the enterprise scale.

6 min read

Designing Systems with AI in the Loop

An AI-in-the-loop approach can help mitigate some of AI’s inherent risks, but to deliver real impact in Defence & National Security, AI must also be designed for deployment.

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5 min read

Measuring What Really Matters

Why end-user insight and operational context are the keys to understanding AI performance in the defence sector. In Defence and National Security, the scrutiny placed on AI systems and the bar for responsibility and accountability are heightened,...

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Accelerating AI's Operational Impact in Defence

6 min read

Accelerating AI’s Operational Impact

In defence and national security, the nature of problems and the environments in which they occur make operationalising AI hugely challenging. This is especially true of the maritime domain, where threats are becoming more prolific and advanced....

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4 min read

AI and Sonar: Cutting Through the Noise

In the maritime domain, gaining a better understanding of increasing volumes and higher fidelity sonar data has well-known and potentially game-changing advantages. Nevertheless, in complex problem spaces like those in defence and national security,...

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Designing for Deployment Feature Image

5 min read

AI in Defence: Designing for Deployment

With its unparalleled ability to extract insight from burdensome volumes of raw data, AI is more than an opportunity to innovate. Nevertheless, this doesn’t make it the answer to every problem involving data. Even when applied to the right problems,...

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3 min read

AI Model Training: Why Continuous Improvement Matters

As AI capabilities advance, and with the advent of widely available low-cost cloud computing, AI will inevitably be applied to wider problem sets with more immediate and wide-ranging real-world impacts, bringing with it higher problem complexity and...

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