article thumbnail

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.

article thumbnail

Clearbit’s VP of Customer Success on turning economic headwinds into a growth opportunity

Intercom, Inc.

Clearbit , the leading marketing data engine, has reaped the rewards of automation firsthand – leveraging it for everything from identifying churn risks to closing renewals, all without human involvement. Combatting churn with machine learning. This machine learning model doesn’t operate alone, though.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

A Guide To Gainsight’s Pulse 2019 Product Announcements

Gainsight

Enablement Engine. Adopting a new system or complying with internal best practices can come with a learning curve. Renewal Center uses machine learning to analyze subjective and objective customer data to produce a predictive renewal likelihood score for every renewal opportunity, leading to an accurate renewals forecast.

article thumbnail

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

Business of Software Conference

This is actually crowdsourced words I didn’t even come up with these on my own. The Ford Pinto has a design failure that if you’re not an automotive engineer is really easy to understand. And you can be like What were those engineers at Ford thinking? So what just happened there was machine learning.