Remove Artificial Inteligence Remove Crowdsource Remove Positioning
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Clearbit’s VP of Customer Success on turning economic headwinds into a growth opportunity

Intercom, Inc.

If you have lots of unstructured [information], it’s hard to get it in a position where it’s getting to the right person at the right time. Combatting churn with machine learning. This model looks at company attributes, customer communications, and product usage – 400 variables in total – to predict who’s at risk.

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My framework for Machine Learning Products — Part 1 of 3

The Product Coalition

Building your first Machine Learning product can be overwhelming?—?the I’ve often seen great Machine Learning models fail to become great Products, not because of the ML itself, but because of the supporting product environment. UX, Processes, and Data, all contribute to the success of a Machine Learning model.

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Humans Are Awesome/Terrible At Risk Management | Andy Ellis, Akamai | BoS USA 2019

Business of Software Conference

Nothing really happened positively here. The product owner did not learn anything about risk. This is actually crowdsourced words I didn’t even come up with these on my own. We’ve all heard that before and I posit that we use the word bad or synonyms because we’re fundamentally polite human beings.