Intelligence from the Field
Strategic thinking and practical guidance grounded in building applied AI, data and software systems for real operational and commercial problems.
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Perspectives
AI hallucination: what it is and how businesses should manage it
AI hallucination explained for business leaders - what it is, why it happens and how to build the controls that make enterprise AI deployment safe and scalable.
Perspectives
What is the context window in an LLM and why does it matter?
Context window in LLMs explained for business leaders - what it is, why size matters and how to make better AI deployment decisions.
Playbooks
How to get your data ready for AI in six practical steps
Data ready for AI? Six practical steps to assess quality, governance and pipeline readiness before committing budget to any AI initiative.
Perspectives
AI and data privacy: what every business leader needs to understand
AI and data privacy risks go beyond compliance. Business leaders need to understand the commercial, regulatory and governance gaps before they scale AI systems.
Playbooks
How to structure an AI centre of excellence in your organisation
How to structure an AI centre of excellence that delivers commercial results - mandate, composition, operating model and governance for mid-market organisations.
Perspectives
What is prompt engineering and why does it matter for business?
Prompt engineering explained for business leaders - what it is, why output quality depends on it and how mid-market organisations can build this capability at scale.
Perspectives
How to think about AI risk in a regulated industry
AI risk in regulated industries demands precision, not paralysis. Learn how to categorise, prioritise and govern AI risk before your regulator does it for you.
Perspectives
The difference between building AI and buying AI
Build or buy AI? The decision shapes your competitive position. This guide helps business leaders make the right call - and avoid the costly middle ground.
Perspectives
What is a large language model and how do businesses use them?
Large language models explained for business leaders - what they are, where they add value, where they fail and how to evaluate use cases before you build.
Playbooks
How to write an AI policy for your organisation
How to write an AI policy that actually governs behaviour - covering scope, data classification, oversight and accountability for business leaders.
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