Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS

data analytics

Predictive Big Data Analytics Identify High-Risk ED Patients

 A predictive big data analytics algorithm using a variety of demographic and clinical data points may be helpful for identifying patients at high risk of hospitalization or ED use. Reducing unnecessary emergency department utilization and avoidable hospital admissions is a top priority for many healthcare systems, especially those seeking to cut costs and eliminate waste

Wise Practitioner – Predictive Analytics Interview Series: Sanjay Gupta at PNC Bank

 In anticipation of his upcoming conference co-presentation, Predictive Analytics for Stress Testing – Industry Challenges at Predictive Analytics World Financial in New York City, October 23-27, 2016, we asked Sanjay Gupta, Executive Vice President and Head of...

Wise Practitioner – Predictive Analytics Interview Series: Brian Reich, Former Director at The Hive

 In anticipation of his upcoming conference presentation, The Data Set You Can No Longer Ignore: Consumer Engagement with Social Issues, at Predictive Analytics World New York, October 23-27, 2016, we asked Brian Reich, former Director at The...

Wise Practitioner – Predictive Analytics Interview Series: Gary Neights at Elemica

 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...

Wise Practitioner – Predictive Analytics Interview Series: Dr. Sarmila Basu at Microsoft Corporation

 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...

Wise Practitioner – Predictive Analytics Interview Series: Dae Park and Vijay D’Souza at Government Accountability Office (GAO)

 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...

Wise Practitioner – Predictive Analytics Interview Series: Dean Abbott of SmarterHQ

 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...

Wise Practitioner – Manufacturing Predictive Analytics Interview Series: Chris Labbe at Seagate Technology

 In anticipation of his upcoming Predictive Analytics World for Manufacturing conference presentation, Building a Predictive Analytics Organization, we interviewed Chris Labbe, Managing Technologist at Seagate Technology. View the Q-and-A below for a glimpse of what’s in store at the PAW Manufacturing...

Wise Practitioner – Manufacturing Predictive Analytics Interview Series: Peter Frankwicz at Elmet Technologies

 In anticipation of his upcoming Predictive Analytics World for Manufacturing conference presentation, Improved Statistical Process Control of Mature Manufacturing Processes Using Multiple Available Data Streams, we interviewed Peter Frankwicz, Senior Process Engineer at Elmet Technologies. View the Q-and-A below for a...

Wise Practitioner – Text Analytics Interview Series: Dirk Van Hyfte at InterSystems Corporation

 In anticipation of his upcoming conference co-presentation, Personalized Medicine and Text Analytics at Text Analytics World Chicago, June 21-22, 2016, we asked Dirk Van Hyfte, Senior Advisor for Biomedical Informatics at InterSystems Corporation, a few questions about...

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