Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Elon Musk Predicts Artificial General Intelligence In 2 Years. Here’s Why That’s Hype
 Originally published in Forbes, April 10, 2024 When OpenAI’s...
Survey: Machine Learning Projects Still Routinely Fail to Deploy
 Originally published in KDnuggets. Eric Siegel highlights the chronic...
Three Best Practices for Unilever’s Global Analytics Initiatives
    This article from Morgan Vawter, Global Vice...
Getting Machine Learning Projects from Idea to Execution
 Originally published in Harvard Business Review Machine learning might...
SHARE THIS:

8 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.