Machine Learning Times
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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...
Predictive AI Must Be Valuated – But Rarely Is. Here’s How To Do It
  Originally published in Forbes To be a business is...
Agentic AI Is The New Vaporware
  Originally published in Forbes The hype term “agentic AI”...
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9 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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