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368: An example of engineering a disruptive product – with Konrad Heimpel

Product Mastery Now for Product Managers, Leaders, and Innovators

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Is Machine Learning the Next Step in the Workover?

I'm not a fan of throwing machine learning just on any problem, because you always need to. I it's about like predicting the right price for the user. Starting very manual, like an extra feet, literally. And now we're applying realMachineLearning. But at a certain point and time, definitely aarithm like machine luring will be better in deciding what kind of coverage user might need.

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