Machine Learning Times
Machine Learning Times
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How Machine Learning Works for Social Good
  Originally published in KDnuggets, Nov 2020. This article...
Diversity and Collaborative Problem Solving to Address Wicked Data Ethics Problems
 The complexity of the ethical issues facing professionals who...
Climate Tech Needs Machine Learning, Says PAW Climate Conference Chair
  Straight from the horse’s mouth – the founding...
Predictive Policing: Six Ethical Predicaments
  Originally published in KDNuggets. This article is based...
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3 years ago
Wise Practitioner – Predictive Analytics Interview Series: Haig R. Nalbantian at Mercer

 In anticipation of his upcoming conference co-presentation, What Millennial Employees Actually Value: Lessons from Predictive Modeling, at Predictive Analytics World for Business Las Vegas, June 3-7, 2018, we asked Haig R. Nalbantian, Senior Partner, Co-leader Mercer Workforce Sciences Institute at Mercer, a few questions about his work in predictive analytics. Q: In your work with predictive analytics, what behavior or outcome do your models predict? A: Our Workforce Sciences team has been applying advanced analytics to inform workforce management decisions since the early 90s. We work with two broad classes of models: the first, Internal Labor Market (ILM) Analysis® is

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