Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
The 3 Things You Need To Know About Predictive AI
 Originally published in Forbes, June 29, 2024. Some problems are...
Alphabet Uses AI To Rush First Responders To Disasters—Takeaways For Businesses
 Originally published in Forbes, July 7, 2024. The National Guard...
Artificial Intelligence in Marketing
 “Nearly half of S&P 500 companies have talked about...
Predictive AI Streamlines Operations In This Surprisingly Simple Way
 Originally published in Built In, May 22, 2024. Your...
SHARE THIS:

8 years ago
Taking Action on Technical Success: A Fable of Data Science and Consequences

 

Note: This story is fiction, but it is based on experience with real clients. Any resemblance to people you know is incidental. You can read the prequel to this episode here.

Michael’s Tale, Continued

TalkThree’s new Analytics Director, Michael, has had a sobering month. What he had hoped would be his first major contribution to his company has fallen flat. His team created a model which was intended to address a pressing challenge for TalkThree: a steady stream of departing cellular phone service customers, known as “churners.” Their model predicts who is most likely to leave, and though he delivered it enthusiastically, it received an unexpectedly lukewarm reception from the customer retention team, so Michael has spent the last few weeks working with Lanny, the customer retention team leader, to cobble together a business process for using the model’s results.

This content is restricted to site members. If you are an existing user, please log in on the right (desktop) or below (mobile). If not, register today and gain free access to original content and industry news. See the details here.

Comments are closed.