Preparing Enterprise Teams for Responsible AI Governance
Responsible AI governance can sound like a policy committee far away from product teams. It works better as a few clear decisions built into…
Read articleCurrent thinking, practical guidance and implementation perspectives across Data Engineering, Artificial Intelligence, Digital Marketing and the industries we serve.
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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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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An integration debate can get stuck on tool names. APIs, ETL and event streaming answer different timing and interaction needs; many businesses will use…
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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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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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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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B2B purchases rarely belong to one lead. A finance sponsor, operations owner and technical evaluator may enter the conversation at different times and care…
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A Customer 360 dashboard can become a cluttered biography of everything an organization has collected. A better version gives an authorized user the context…
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