Machine Learning Times
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2 More Ways To Hybridize Predictive AI And Generative AI
  Originally published in Forbes Predictive AI and generative AI...
How To Overcome Predictive AI’s Everyday Failure
  Originally published in Forbes Executives know the importance of predictive...
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...

Author Archive

How HBO’s Silicon Valley Built “Not Hotdog” with Mobile TensorFlow, Keras & React Native

 Originally published in Hacker Noon, June 26, 2017 The HBO show Silicon Valley released a real AI app that identifies hotdogs — and not hotdogs — like the one shown on season 4’s 4th episode (the app is now available on Android as well as iOS!) To achieve this, we designed a bespoke neural architecture that runs directly on your phone, and trained

Analytics make Bright Cellars the Pandora of wine clubs

 Originally published in The Journal Sentinel, June 28, 2017 If the machine-learning algorithm gets it right, you’ll be matched with wines you love. That’s the idea behind Bright Cellars, a Milwaukee-based monthly wine club begun by two...

Predicting Fraud: Another Not So Easy Task

 As I have stated in previous articles, the most difficult challenge in building predictive models is the creation of the analytical file. Typically, this comprises between 80%-90% of the data scientist’s time with 10%-20%  comprising the actual...

Are You Practicing “Bad Data Science” with your Pre-Hire Talent Assessments?

 Talent Analytics uses data gathered from our own proprietary talent assessments as an input variable to predict hiring success – pre-hire.  We treat this dataset just like any other dataset in our predictive work.  We are careful...

Wise Practitioner – Predictive Analytics Interview Series: Leslie Barrett at Bloomberg L.P.

 In anticipation of her upcoming conference presentation, Crowd-Sourcing and Quality: How To Get The Best Out of Hand-Tagged Training Data for Machine Learning Models at Predictive Analytics World for Business New York, Oct 29-Nov 2, 2017, we...

Forecasting At Uber With Recurrent Neural Networks

 Originally published in Uber Engineering, June 9, 2017 At Uber, event forecasting enables us to future-proof our services based on anticipated user demand. The goal is to accurately predict where, when, and how many ride requests Uber...

Predictive Analytics for Fintech and Banking

 Steven Ramirez is the conference moderator for Predictive Analytics World for Financial, Oct 29-Nov 2, 2017 in New York—where he will also provide the opening keynote, “Chatbots, Robo-Advisors, and AI, Oh My! Predictive Analytics and Machine Learning Case...

What Is the Best Way to Get More Women into Analytics? Don’t Make Them into Men

  Originally published in Linkedin I recently sat on a panel of “Women in Predictive Analytics”, moderated by Greta Roberts with Jeanne Harris from Columbia University and Lauren Haynes from University of Chicago.  Although the three of us on the panel had never...

Uncle Sam Wants Your Deep Neural Networks

   Originally published in NYTimes, June 22, 2017 SAN FRANCISCO — The Department of Homeland Security is turning to data scientists to improve screening techniques at airports. On Thursday, the department, working with Google, introduced a $1.5 million contest to build computer...

Why Data Science Argues against a Muslim Ban

 From the perspective of data science, a Muslim ban would weaken security, not strengthen it (click for additional articles by Eric Siegel on analytics and social justice). Originally published by Scientific American June 14, 2017 Let’s not...

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