Machine Learning Times
EXCLUSIVE HIGHLIGHTS
How To Overcome The Confidence-Killer That Destroys Most Predictive AI Projects
  Originally published in Forbes When Henry Castellanos first presented...
You Must Address These 4 Concerns To Deploy Predictive AI
 Originally published in Forbes Most predictive AI projects fail to launch into production. The...
Hybrid AI: Industry Event Signals Emerging Hot Trend
 Originally published in Forbes After decades chairing and keynoting myriad...
Predictive AI Thrives, Despite GenAI Stealing The Spotlight
 Originally published in Forbes Generative AI and predictive AI ought...

Original Content

Wise Practitioner – Workforce Predictive Analytics Interview Series: Holger Mueller at Constellation Research

 In anticipation of his upcoming Predictive Analytics World for Workforce conference presentation, The State of Predictive Analytics for Workforce in Enterprise Applications, we interviewed Holger Mueller, Principal Analyst & Vice President at Constellation Research, Inc. View the Q-and-A below to see how Holger has incorporated predictive analytics into the workforce of Constellation Research, Inc. Also, glimpse what’s in

Wise Practitioner – Predictive Analytics Interview Series: Lawrence Cowan at Cicero Group

 In anticipation of his upcoming conference presentation, Predicting the Extent and Cost of Online Attacks to Help Sell Security Software, at Predictive Analytics World San Francisco, April 3-7, 2016, we asked Lawrence Cowan, Partner at Cicero Group,...

Hey FinTech, What’s Your Strategy for Leveraging Unstructured Data?

 Financial technology has sparked a global wave of startups who are rethinking how people make and receive payments. These fintech providers have a unique challenge when it comes to satisfying their target audiences. Not only do these...

Wise Practitioner – Predictive Workforce Analytics Interview Series: Raffael Devigus at F. Hoffmann-La Roche AG

 In anticipation of his upcoming Predictive Analytics World for Workforce conference co-presentation, The Predictive Workforce Analytics Journey at F. Hoffmann-La Roche, we interviewed Raffael Devigus, Management Reporting Analyst at F. Hoffmann-La Roche AG. View the Q-and-A below to see how...

Wise Practitioner – Predictive Analytics Interview Series: Rebecca Pang at CIBC

 In anticipation of her upcoming conference presentation, Driving the Omnichannel Experience with Predictive Analytics at Predictive Analytics World San Francisco, April 3-7, 2016, we asked Rebecca Pang, Senior Director, Channel Strategy & Analytics at CIBC, a few...

Employee Engagement – a Tricky Metric for Predictive Analytics

 Our work focuses on using predictive analytics to decrease employee turnover or increase employee performance. We work with our customers to define the problem to solve, and then together identify useful data inputs to include in predictive...

Wise Practitioner – Predictive Workforce Analytics Interview Series: Daniil Shash at Eleks

 In anticipation of his upcoming Predictive Analytics World for Workforce conference presentation, How Eleks is Building a Career Advisor Tool Based on Predictive Analytics, we interviewed Daniil Shash, Head of Data Science at Eleks. View the Q-and-A below to see...

The Information Age’s Latest Move: Four Predictive Analytics Developments for 2016

 Originally published in Big Think Prediction is in the cards—it is the Information Age’s latest evolutionary step. Here are four major developments you will experience in 2016 courtesy of predictive analytics: Consumer demand for predictive analytics will...

Why Do We Stop Asking Why?

 I’ve lived through this phenomenon first hand. The environment was new to me, sitting at my assigned seat at the cherry wood conference table for the weekly executive staff meeting. I was told very clearly that I...

Predictive Analytics and the Internet of Things

 As technology continues to empower our ability to conduct analytics with “Big Data”, the “Internet of Things” has arisen as an area where devices themselves capture and transmit data albeit machine-level type data. Let’s discuss some of...

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