Current thinking, practical guidance and implementation perspectives across Data Engineering, Artificial Intelligence, Digital Marketing and the industries we serve.
A production schedule is a promise made under constraints. Machines have capacity, people have shifts, materials arrive at different times and priority orders change.…
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An AI project can look promising in a workshop and struggle before anyone trains a model. The missing pieces are often ordinary: records cannot…
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An automation project may save three minutes per routine case and create ten minutes of work for each exception. A credible ROI estimate needs…
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Responsible AI governance can sound like a policy committee far away from product teams. It works better as a few clear decisions built into…
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A model can score well in evaluation and still be a poor choice for a decision people must explain. Performance, explainability and oversight are…
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The best AI pilot is not necessarily the most impressive demo. It is a use case with a valuable decision, usable data, a feasible…
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