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Topic · 5 articles

Data and analytics for AI

Getting a business's data into a state AI can use, and the reporting and analysis that goes with it.

  • AI in practice

    AI for large organisations and public bodies

    AI for large organisations with 250+ staff and public bodies: buying through frameworks such as G-Cloud, supplier security checks, board oversight and AI NEDs.

    6 min read

  • AI in practice

    AI for medium-sized businesses (50 to 249 staff)

    AI for medium-sized businesses with 50 to 249 staff: first projects, running a supplier process, security checks, fractional leadership and board oversight.

    6 min read

  • AI in practice

    Getting your data ready for AI without a big clean-up

    You do not need perfect data to start with AI. How to tidy just the information your first use needs, and avoid the mistakes that make AI confidently wrong.

    6 min read

  • Choosing a consultant

    How will your AI consultant measure success?

    The questions to ask before an AI project starts about baselines, measures and review dates, so you and your consultant agree what success means.

    6 min read

  • AI in practice

    How to tell whether AI is paying off

    Logins and time saved do not prove an AI tool is worth it. Measure the full cost of each finished task against a baseline, and how often people overrule it.

    6 min read

Independent advice on choosing and using AI, for UK businesses.

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