Machine Learning Times
EXCLUSIVE HIGHLIGHTS
AGI Is Infeasible. Instead, Pursue Superhuman Adaptable Intelligence
  Originally published in Forbes On a recent episode of the...
Artifact-Driven Development: Making It Possible to Query Large Analytics and AI Projects
 A practical introduction to making complex project structure explicit...
Incoherent AGI Hype Spurs An Industrywide Pivot To Hybrid AI
  Originally published in Forbes Recently on The Dr. Data Show,...
The AI Paradox: More Humanlike Means Less Autonomous
  Originally published in Forbes The AI executives are at...

Darryl Humphrey

Wise Practitioner – Predictive Analytics Interview Series: Darryl Humphrey at Alberta Blue Cross

 In anticipation of his upcoming conference presentation, Claim Pattern Anomalies – Making a Mole Hill Out of a Mountain at Predictive Analytics World San Francisco, May 14-18, 2017, we asked Darryl Humphrey, Senior Data Scientists at Alberta Blue Cross, a few questions about his work in predictive analytics. Q: In your work with predictive analytics, what