
What would count as a useful AI result?
Define AI success around the whole business task: a baseline, useful quality measures, the cost of errors, and a decision about what happens next.
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Original perspectives on strategy, research, and applied AI from Halsted, Haines & Co., a State Madison company.

Define AI success around the whole business task: a baseline, useful quality measures, the cost of errors, and a decision about what happens next.
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A practical way to distinguish an information task from an unresolved business decision before designing an AI system.
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Clarify the decisions, information, technical responsibilities, and escalation routes that continue after an AI system becomes part of everyday operations.
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Compare possible AI uses by the task, available information, review effort, dependencies and the business decision an improvement would support.
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