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Practical AI insights

AI-ready data and knowledge

For leadership teams whose AI work stalls on the data underneath it. Case studies and guides on getting data, documents and company knowledge ready for AI, deciding who owns them and controlling what each tool can see.

Multi-agent handoffs: how to stop AI agents losing context
How are UK technology and IT teams using AI?

How are UK technology and IT teams using AI?

Technology and IT teams get more from AI than any other function. In aibl's survey of 755 UK mid-market business...

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AI bias and data drift: how Experian keeps models true to reality
AI data readiness at Zencargo: fixing the data before automating freight
LLM evaluation at The Economist Group: keeping its AI chatbot grounded
Company brain: how Rig built one for a school software company
AI knowledge base at YuLife: how 94% of its people came to use AI every week
AI knowledge base at Thames Water: rewritten for the machine
AI knowledge base: how Metomic’s CEO built her own AI brain
AI infrastructure at Virgin Atlantic: two partners, one shared platform
AI in real estate at Battersea Power Station: data first, then results
AI readiness audit: what it is and how to run one

AI readiness audit: what it is and how to run one

An AI readiness audit is a structured review of whether your organisation can turn AI activity into a measurable...

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