Machine Learning Times
EXCLUSIVE HIGHLIGHTS
2 More Ways To Hybridize Predictive AI And Generative AI
  Originally published in Forbes Predictive AI and generative AI...
How To Overcome Predictive AI’s Everyday Failure
  Originally published in Forbes Executives know the importance of predictive...
Our Last Hope Before The AI Bubble Detonates: Taming LLMs
  Originally published in Forbes To know that we’re in...
The Agentic AI Hype Cycle Is Out Of Control — Yet Widely Normalized
  Originally published in Forbes I recently wrote about how...
SHARE THIS:
  • Feb 26, 2015
  • Comments Off on Using Predictive Analytics to Predict and Manage Business Travel Burnout
  • Original Content
  • 7202 Views

11 years ago
Using Predictive Analytics to Predict and Manage Business Travel Burnout

 For more on the application of predictive analytics for HR, attend PAW Workforce, March 31-April 1, 2015 This interview is the first in a series on workforce predictive analytics. APQC interviewed Scott Gillespie, co-founder and managing partner at tClara, an organization that delivers expertise in corporate travel and aviation. Gillespie is a pioneer in travel data analysis, strategic sourcing, and travel management. In this interview, Gillespie provides insights to predicting and managing business travel burnout, particular for those who travel often (“road warriors”). He also provides tips for HR professionals on how to get started on predictive analytics

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.