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 Analytics Interview Series: Kristina Pototska at TriggMine

 In anticipation of her upcoming conference presentation, 7 Examples of Customer Retention with Predictive Email Marketing at Predictive Analytics World San Francisco, May 14-18, 2017, we asked Kristina Pototska, CMO at TriggMine, a few questions about her work in predictive analytics. Q: In your work with predictive analytics, what behavior or outcomes did your models

Wise Practitioner – Predictive Analytics Interview Series: Frédérick Guillot at The Co-operators General Insurance Company

 In anticipation of his upcoming conference presentation, Defining Optimal Segmentation Territories – 10 Years of Research at Predictive Analytics World San Francisco, May 14-18, 2017, we asked Frédérick Guillot, Senior Manager, Research and Innovation at The Co-operators...

Predictive Analytics vs. Prescriptive Analytics

 We have all heard and seen the diagrams that relate to the evolution of analytics within the marketplace. Listed below is one such diagram which is probably familiar to most of you The above diagram represents this...

Interview with Prof. Dr. Wil van der Aalst, Eindhoven University of Technology

 Exclusive interview with Prof. Wil van der Aalst who will hold the keynote at Germany’s first PAW manufacturing event, taking place February 2nd in Düsseldorf. The full program of the show can be viewed here. Prof. Wil...

Data Story Telling: Bringing Life to Your Data

 There is no doubt that a successful Data Scientist must be proficient in programming, modeling, and data munging (extracting, cleaning, and feature engineering data).  However, there is another key skill that is often overlooked:  the ability to...

Contextual Experience Innovation

  The perceived status of the consumer experience enhancement industry from an innovation practitioner’s vantage point is that it...

Are Random Variables a Fact of Life in Predictive Models?

 In some of the more recent literature, discussion has ensued about the use of pure random or noise variables that end up as key variables in predictive models. In our big data environment with millions of records...

Managing Shifting Priorities in Exploratory Data Science Projects

 After working with a client’s data for over three weeks with no real progress, you finally hit upon a real breakthrough. You’ve been searching for insights that will help identify which customers are most likely to turn...

Breaking into Analytics: 5 “Musts” for your Career Transition

 In our data-rich society, corporations of all types and sizes recognize the importance of utilizing information to understand their past and shape their future. Many organizations, however, ultimately fail to reap the powerful benefits of analytics as...

How Predictive Analytics Can Fuel Innovation for Manufacturing

 Industry leaders like to use the term “culture” to demonstrate the uniqueness of a business and to point out how, while products may be superficially imitated, can never be replicated by competitors because of this “culture” thing....

Page 41 of 75 1 … 36 37 38 39 40 41 42 43 44 45 46 … 75