By: Stu Bailey, CTO, Open Data Group
There is no doubt that data science–and predictive analytics– are the next wave of investments aimed to create significant improvements to corporate bottom lines. With the advent of new capabilities, however, generally comes a commensurate amount of complexity and challenge. In the new era of analytics, many companies struggle to properly connect three key divisions:
In anticipation of his upcoming conference presentation, Predicting Behavior in Chemical Industry Supply Chains, at Predictive Analytics World New York, October 23-27, 2016, we asked Gary Neights, Senior Director at Elemica, a few questions about his work...
By: Adam Kahn, Publisher, The Predictive Analytics Times
Data science and predictive analytics are top of mind – but how do you get started? I had the chance to interview Eric Siegel, founder of Predictive Analytics World, the leading conference series, and author of the...
In anticipation of her upcoming conference presentation, Predictive & Prescriptive Analytics Helps Keep Kids in School at Predictive Analytics World London, October 12-13, 2016, we asked Dr. Sarmila Basu, Senior Director, Data & Decision Sciences Group at...
By: Greta Roberts, CEO, Talent Analytics, Corp.
Program Chair: Predictive Analytics World – for Workforce
Over the past 30+ years, businesses have spent billions on talent assessments. Many of these are now being used to understand job candidates. Increasingly, businesses are asking how (or if) a predictive talent acquisition strategy can...
In anticipation of their upcoming conference co-presentation, Characteristics for Those Claiming Social Security Benefits Early, at Predictive Analytics World for Government, October 17-20, 2016, we asked Dae Park, Assistant Director at Government Accountability Office (GAO), and Vijay...
Originally published at PRNewswire
DMWay Analytics, leading innovator of predictive analytics automation solutions, announced today that Eric Siegel, one of the top 10 data science thought leaders, will serve as an advisory board member. Eric Siegel and Gil Nizri at the...
In anticipation of his upcoming conference presentation, The Revolution in Retail Customer Intelligence, at Predictive Analytics World New York, October 23-27, 2016, we asked Dean Abbott, Co-Founder and Chief Data Scientist of SmarterHQ, a few questions about...
By: Bala Deshpande, Founding Partner, SimaFore & Chair, PAW – Manufacturing
There is a clear sense in the marketplace today that for the internet of things (IoT) to realize its true potential as the next-big-thing, analytics is going to be critical. After all what is the purpose of connecting...
By: Richard Boire, Senior Vice President, Environics Analytics
In the last article, I discussed the concept of feature engineering as comprising two components with the first component being the ability to create and derive meaningful variables in the analytical file which is used as the...
 |
 |
 |
The Machine Learning Times © 2020 • 1221 State Street • Suite 12, 91940 •
Santa Barbara, CA 93190
Produced by: Rising Media & Prediction Impact