Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Panic Over DeepSeek Exposes AI’s Weak Foundation On Hype
 Originally published in Forbes The story about DeepSeek has disrupted...
AI Drives Alphabet’s Moonshot To Save The World’s Electrical Grid
 Originally published in Forbes Note: Ravi Jain, Chief Technology Officer...
Why Alphabet’s Clean Energy Moonshot Depends On AI
 Originally published in Forbes Note: Ravi Jain, Chief Technology Officer...
Predictive AI Only Works If Stakeholders Tune This Dial
 Originally published in Forbes I’ll break it to you gently:...
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8 years ago
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 behavior or outcome do your models predict? A: Our scope is health, dental, and pharmacy benefit claims submitted by plan members and providers.  Our objective is to reliably gauge the probability that a claim, or series of claims, is / are fraudulent or represent

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