Predictive Analytics Times
Predictive Analytics Times
EXCLUSIVE HIGHLIGHTS
Dr. Data Show Video: How Can You Trust AI?
 Watch the second episode of The...
Three Common Mistakes That Can Derail Your Team’s Predictive Analytics Efforts
  Originally published by Harvard Business...
Artificial Intelligence: Are We Effectively Assessing Its Business Value?
 As most data science practitioners know,...
Dr. Data Show Video: Why Machine Learning Is the Coolest Science
 Watch the premiere episode of The...

data analytics

Data Reliability and Validity, Redux: Do Your CIO and Data Curators Really Understand the Concepts?

 Here are two recent entries on the big but neglected issue of data reliability and analytic validity (DR&AV), from the vast commentariat that is LinkedIn: One of my complaints with hashtag#bigdata, is there isn’t enough focus on getting the right kind of data. We deal with this in healthcare all the time. Much of...

Data-Driven Decisions for Law Enforcement in Toronto

 For today’s leading deep learning methods and technology, attend the conference and training workshops at Predictive Analytics World for Government, Sept 17-21, 2018 in Washington, DC. Data-driven decisions for law enforcement are not new and...

Analytics Assessment: A Blueprint for Effective Analytics Programs

  If you are like me, when you first heard of analytics and its ability to benefit businesses, non-profits, and government agencies, you felt invigorated and excited, having to hold back the urge to...

Why Your Analytics Must Ask the Data “Good” Questions — Ones that Reduce Data

 The problem of monetizing Big Data, or improving its usefulness in decision-making, stands out in every forward-looking organization today. To solve it, as everyone knows by now, it is not enough to store or...

Automation and Its Impact on Predictive Analytics – The Increasing Importance of the Hybrid-Part 3

 In my last article, I discussed the increasing impact of automation and its actual impact in creating the analytical file. As any data scientist knows, this component or stage of the data science process...

Improved Customer Marketing with Multiple Models

 Data miners employ a variety of techniques to develop robust predictive models. Often, our analysts are confronted with a dilemma. Should we construct one model to address the business objective? Or perhaps, multiple models...

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...

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...

Uplift Modeling: Making Predictive Models Actionable

 Predictive models typically estimate the likelihood of future events, such as whether it will rain tomorrow or which customers are most likely to “churn” by cancelling their phone contract.  In the case of the...

Book Review: Weapons of Math Destruction by Cathy O’Neil

 Originally published in Analytics Magazine Book: Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy by Cathy O’Neil (Crown, September 2016) Book review bottom line: Definitely go read this book, despite...

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