Machine Learning Times
EXCLUSIVE HIGHLIGHTS
The Data Disconnect: A Key Challenge for Machine Learning Deployment
  EDITOR’S NOTE: This article is excerpted from The...
A Brief History of Why Machine Learning Projects Stall
  EDITOR’S NOTE: This is the preface to The...
Hybrid AI Emerges To Tame LLMs – And Not A Moment Too Soon
 Originally published in Forbes The great potential of LLMs is...
AGI Is Infeasible. Instead, Pursue Superhuman Adaptable Intelligence
  Originally published in Forbes On a recent episode of the...
SHARE THIS:

11 years ago
Wise Practitioner – Predictive Workforce Analytics Interview Series: Geetanjali Gamel from MasterCard

 In anticipation of her upcoming Predictive Analytics World for Workforce conference presentation, Employee Attrition in the Knowledge Economy – The Value lies in the Details, we interviewed Geetanjali Gamel, Predictive Analytics Leader, Global HR at MasterCard. View the Q-and-A below to see how Geetanjali has incorporated predictive analytics into the workforce of MasterCard. Also, glimpse what’s in store for the new PAW Workforce conference. Q: How is a specific line of business / business unit using your predictive decisions?  How is your product deployed into operations? A: We are doing work to understand and predict employee attrition risk through various lenses. Insights derived

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.