Intercom, Inc.

JULY 30, 2020

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.

Data Visualization 145

Data Visualization Customer Experience Artificial Inteligence Customer Feedback 145

The Product Coalition

MARCH 5, 2018

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.

Artificial Inteligence 60

Artificial Inteligence User Testing Product Research Data Visualization 60

Business of Software Conference

JULY 28, 2020

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.

Reporting Tools 69

Reporting Tools Research Software Data Visualization Banking 69