AI agents: automate a task without giving up control
Connectors, permissions, human approval and monitoring: what to consider before letting an AI agent act inside your business tools.
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Anonymisation and AI: removing names is not enough
Understand anonymisation and pseudonymisation, identify indirect clues and prepare documents before using an AI service with your team.
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A useful first AI project starts with a clear scope
Business needs, data, evaluation and budget: a practical method for preparing a first AI project and deciding whether it should be deployed.
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Private and open source AI: where does control really sit?
Models, licences, hosting, access and portability: five decisions to examine when building private AI for your organisation and its users.
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