Data and infrastructure
Pipelines, Puls3, data cleansing and custom software builds.
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Data governance that survives an audit
What data is held, what for, and who governs it, written down in a form a regulator will accept.
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Retention policies for training data
How long to keep the data a model was trained on, who decides, and how to delete it without losing the audit trail.
