Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Jev Fever: Predictive AI Is Superhot Again
  Originally published in Forbes The more AI changes, the...
GenAI Owns the Hype, but Predictive AI Is Thriving
  EDITOR’S NOTE: This article is adapted from the...
The Data Disconnect: A Key Challenge for Machine Learning Deployment
  EDITOR’S NOTE: This article is excerpted from The...
A Brief History of Why Machine Learning Projects Stall
  EDITOR’S NOTE: This is the preface to The...

Original Content

Wise Practitioner – Predictive Workforce Analytics Interview Series: Michael Li at The Data Incubator

 In anticipation of his upcoming Predictive Analytics World for Workforce conference presentation, Finding Top Data Scientists for Your Organization: Optimize the Hiring Process with Analytics, we interviewed Michael Li, CEO at The Data Incubator.  View the Q-and-A below to see how Michael Li has incorporated predictive analytics into the workforce of TheData Incubator. Also, glimpse what’s in store

Four Ways Data Science Goes Wrong and How Test-Driven Data Analysis Can Help

 If, as Niels Bohr maintained, an expert is a person who has made all the mistakes that can be made in a narrow field, we consider ourselves expert data scientists.  After twenty years of doing what’s been...

In Predictive Analytics, Coefficients are Not the Same as Variable Influence

 When we build predictive models, we often want to understand why the model behaves the way it does, or in other words, which variables are the most influential in the predictions. But how can we tell which...

Oracle’s Ten Enterprise Big Data Predictions for 2016

 Companies big and small are finding new ways to capture and use more data. The push to make big data more mainstream will get stronger in 2016. Here are Oracle’s top 10 predictions: 1. Data civilians operate more...

Personalities That Are Barriers to Model Deployment (And How to Partner With Them) Part III: The Expert

 So you have gathered your data and completed your exploration and cleansing. You labored countless hours transforming the data and created a strong model that can revolutionize the way your company sees its clients, makes decisions and...

Wise Practitioner – Predictive Workforce Analytics Interview Series: Kathy Doan at Wells Fargo Bank

 In anticipation of her upcoming Predictive Analytics World for Workforce conference presentation, Beyond Traditional Turnover Creating Value by Quantifying the Impact of Attrition, we interviewed Kathy Doan, Vice President, Community Banking HR Insights & Analysis Group at Wells Fargo Bank. View the...

Wise Practitioner – Predictive Workforce Analytics Interview Series: Jonathon Frampton at Baylor Scott & White Health

 In anticipation of his upcoming Predictive Analytics World for Workforce conference presentation, Visualizing Organizational Movement for Opportunity Identification, we interviewed Jonathon Frampton, Director, People Analytics & Reporting at Baylor Scott & White Health. View the Q-and-A below to see how...

Mobile Analytics-Mining the Visit Experience of the Customer

 Mobile technology as part of the Big Data discussion is enabling data miners/data scientists to conduct analytics on information on the customer’s experience within a given location which otherwise was unavailable up until a few years ago....

The Devil’s Data Dictionary – Making Fun of Big Data

 Buy it on Amazon When Stéphane Hamel coined the description of Big Data as ‘That which doesn’t fit in an Excel spreadsheet’, I realized it was well past time for the datarati to have some fun poked...

Wise Practitioner – Predictive Workforce Analytics Interview Series: Ben Waber of Humanyze

 In anticipation of his upcoming Predictive Analytics World for Workforce conference presentation, Using Wearables and Big Data to Reinvent Management, we interviewed Ben Waber, CEO at Humanyze.  View the Q-and-A below to see how Ben has incorporated predictive analytics into...

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