Machine Learning Times
EXCLUSIVE HIGHLIGHTS
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...

Original Content

Predictive Analytics is the Answer to Smart Fulfillment and Omni-Channel Retailing

 Over the past 5 years there have been several trends that have changed the way retailers operate their businesses. Many of them have to do with how consumers use technology to make a purchase. Pure e-commerce retailers have gained momentum causing brick-and-mortar retailers to re-think and re-design their online channels. Meanwhile, mobile technology has surged

Employee Churn 201: Calculating Employee Value

 Much has been written about customer churn – predicting who, when, and why customers will stop buying, and how (or whether) to intervene. Employee churn is similar – we want to predict who, when, and why employees...

Why Overfitting is More Dangerous than Just Poor Accuracy, Part I

 Arguably, the most important safeguard in building predictive models is complexity regularization to avoid overfitting the data. When models are overfit, their accuracy is lower on new data that wasn’t seen during training, and therefore when these...

5 Ways to Become Extinct as Big Data Evolves

 The need to adopt sophisticated data analytics has become widely apparent to businesses recently, and the necessity of adopting “Big Data” analytics approaches is only becoming more evident. Gartner’s report on Big Data Adoption in 2013 found...

It is a Mistake to…. Ask the Wrong Question

 (Part 4 (of 11) of the Top 10 Data Mining Mistakes, drawn from the Handbook of Statistical Analysis and Data Mining Applications) It is very important to have the right project goal; that is, to aim at...

What Role can Network Analysis play in Business Intelligence?

 Network analysis is an emerging Business Intelligence technique that’s increasingly used in risk management, social network analytics, banking, telecommunication analytics, bioinformatics, criminal intelligence, and human resources planning. Sometimes the term Network Analysis (or Network Analytics) is mixed...

The Data Behind Data Scientists: Top Kaggle Performers

 Kaggle, an online platform that hosts data analytics competitions, allows companies to tap into the expertise of data gurus to tackle specific company issues (and possibly reap prizes and job offers, if successful). With more than 100,000...

It’s Predictive Analytics, not Forecasting!

 This is my final article for this year. It’s hard to imagine that it’s almost 2014, and yet I can’t tell you how many times I’ve found myself in the following situation: I meet someone at a...

A Good Business Objective Beats a Good Algorithm

 Predictive Modeling competitions, once the arena for a few data mining conferences, has now become big business. Kaggle (kaggle.com) is perhaps the most well-known forum for modeling competitions, using a crowd-sourcing mentality: if more people try to...

Retail Predictive Analytics for Price Optimization & Markdown Management

 There is no doubt that price is one of the biggest factors affecting gross margin, sales volumes and overall customer service level in any retail organization. A small adjustment in price can significantly alter consumer demand, profit,...

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