Tag: #ProductManagement
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The Simplifier
Moving from Feature-Dumping to Value Engineering If you’ve spent any time in Product Management, you know the “Feature Trap.” It’s that moment in a sales pitch where the presenter lists 50 things the product can do, hoping one of them sticks. In my experience—whether dealing with the heavy machinery of Auto Ancillaries or the complex…
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Who Owns the Bias in Your AI Product?
Ethics is the New Code Quality When an algorithm designed to approve loan applications discriminates against a specific zip code, the technical answer is “bad data.” The product answer is “unmanaged risk.” In the age of AI, ethics is no longer a philosophical debate; it is a P0 product bug. It is the single fastest…
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Why 90% of Enterprise AI Projects Fail to Launch
The AI Hype Cycle vs. The Product Reality We are awash in AI promises, but the dirty secret of the enterprise world is the vast graveyard of failed projects. Companies spend millions on data scientists, only to have their AI initiatives stall out, unable to make the leap from a laboratory proof-of-concept to a profitable…
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