Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
BizML: Bridging the Gap Between Data Science and Business
  Eric Siegel, author of The AI Playbook, was...
The AI Hype Cycle Is Distracting Companies
 Originally published in Harvard Business Review. Machine learning has...
HR Analytics: Measuring Acquisition, Retention & Satisfaction
 Your firm is growing rapidly, and to maintain pace,...
To Avoid Wasting Money on Artificial Intelligence, Business Leaders Need More AI Acumen
 Originally published in Analytics Magazine, July 19, 2023. Business...

Original Content

Creating the All-important Analytical File-The Key Step in Building Successful Predictive Analytics Solutions

 In the data audit process, canned routines are programmed that can provide analytics practitioners with their first glimpse regarding data quality. Three canned programming routines look at the following: A random sample of 100 records Data Diagnostics and Meta-data reports that look at missing values, unique values as well as a variety of statistical diagnostics

Wise Practitioner – Predictive Analytics Interview Series: Linda Miner, Ph.D., Southern Nazerene University

 In anticipation of her upcoming conference presentation at Predictive Analytics World Healthcare in Boston, “Developing a Mortality Prediction Model for Disseminated Intravascular Coagulation (DIC),” we asked Linda Miner, Ph.D., Professor at Southern Nazerene University, a few questions...

It is a Mistake to…. Accept Leaks from the Future

 (Part 6 (of 11) of the Top 10 Data Mining Mistakes, drawn from the Handbook of Statistical Analysis and Data Mining Applications) -John Elder (elder datamininglab com) I often evaluate promising investment systems, for possible...

Wise Practitioner – Predictive Analytics Interview Series: Marty Kohn, M.D. of Jointly Health

 In anticipation of his upcoming conference keynote at Predictive Analytics World Healthcare in Boston, “Big Data and Clinical Decision Support,” we asked Marty Kohn, M.D., Chief Medical Scientist at Jointly Health, a few questions about his work...

What’s the Government’s Role in Big Data Surveillance?

 What if predictive analytics could help prevent acts of terrorism? With so much at stake, should the government responsibly monitor data surveillance? If data privacy surveillance is the route to take, how should the government implement this?...

Wise Practitioner – Predictive Analytics Interview Series: John Foreman of MailChimp

  In anticipation of his upcoming conference keynote at Predictive Analytics World Boston, “Problems, then Techniques, then Toys. Keeping Your Predictive Analytics Right-side Up,” we asked John Foreman, Chief Scientist at MailChimp,  a few questions about his...

Is Predictive Analytics Insidious? National Radio Interview

 Interviewing Eric Siegel on the radio, a Hollywood big wig introduced predictive analytics as insidious, ominous, very manipulative, Machiavellian, and Orwellian; “Big Brother is watching you.” Siegel countered with how prediction is good for the world. 15...

5 Reasons Predictive Analytics World for Workforce is Different – And Better

  If you follow the workforce analytics space, you may have read yet another article about moneyball and the innovative people analytics companies leading the way around using data to optimize workforce. There are certainly some fantastic and...

Should Employee Analytics “Go Fishing” or Solve Business Problems?

 Over the years, our firm has had many discussions with employers on the eve of a new talent analytics project. Often, it is the firm’s first deep-dive look at employee data. Sometimes we act as a strategic...

Wise Practitioner – Predictive Analytics Interview Series: Sameer Chopra of Orbitz

 In anticipation of his upcoming conference keynote at Predictive Analytics World Boston, “Blackjack Analytics: A Surprising Teacher from Which All Businesses Can Learn,” we asked Sameer Chopra, GVP of Advanced Analytics, Orbitz Worldwide, a few questions about...

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