Machine Learning Times
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A Brief History of Why Machine Learning Projects Stall
  EDITOR’S NOTE: This is the preface to The...
Hybrid AI Emerges To Tame LLMs – And Not A Moment Too Soon
 Originally published in Forbes The great potential of LLMs is...
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...
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10 years ago
Wise Practitioner – Predictive Analytics Interview Series: Ashish Bansal and John Schlerf from Capital One

 In anticipation of their upcoming conference co-presentation, The Quest for Labeled Data:  Integrating Human Steps, at Predictive Analytics World San Francisco, May 14-18, 2017, we asked Ashish Bansal, Senior Director, Data Science and John Schlerf, Data Scientist at Capital One, a few questions about their work in predictive analytics. Q: In your work with predictive analytics, what behavior or outcome do your models predict? A: These models are used to match credit card transactions to augmented merchant data to improve readability of online credit card statements. Q: How does predictive analytics deliver value for your customers – what is one specific

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