Predictive Analytics Times
Predictive Analytics Times
EXCLUSIVE HIGHLIGHTS
Interview: The Institute of Business Forecasting & Planning Talks to Dr. Eric Siegel
  Dr. Eric Siegel cuts through the buzzwords surrounding...
Investment Modeling Grounded In Data Science
 For more from Dr. Elder, join Predictive Analytics World...
Some Thoughts On Being a Data Science Entrepreneur in a Disruptive Economy
 The movie “Being There” may seem like an odd...
Asking the Right Analytics Questions and Whether Tiger Woods is better than Jack Nicklaus
  One of the most fundamental contributions we can...

data analytics

Robotic Modeler for Marketing Campaigns

 SUMMARY: Automated modeling is already in focus by practitioners. However, applications for marketing campaigns require significant effort in data preparation for modeling. To address this bottleneck, the robotic modeler integrates a front layer, which automatically scrolls all executed campaigns and prepares data ready for modeling, with a machine learning engine. It enables for a totally

Are We Using Machine Learning?

 In the midst of a recent engagement an executive suddenly asked, “Are we using Machine Learning?”.  This caught us off-guard; working in the field for many years, we use the “learning sciences” virtually every day to solve...

Dr. Data Show Video: What the Hell Does “Data Science” Really Mean?

 Watch the latest episode of The Dr. Data Show, which answers the question, “What the hell do data science and big data really mean?” About the Dr. Data Show. This new web series breaks the mold for...

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...

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 have been used...

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 shout “Charge!”  As...

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 manage it. We...

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 can typically represent...

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 may be in...

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...

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