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...

Industry News

Breakthrough: How to Avert Analytics’ Most Treacherous Pitfall

 This article will make you feel better. And you do need to feel better, if you are one of the many of us who practice analytics—or who must consume and rely on analytics—and find ourselves carrying tension in our shoulders or sometimes losing sleep. The fear stems from a well-known warning of tragic mishap: “If

Eric Siegel: An interview by Bob Morris

 Eric Siegel, PhD, founder of Predictive Analytics World and Text Analytics World, and Executive Editor of the Predictive Analytics Times.com, makes the how and why of predictive analytics understandable and captivating. In addition to being the author...

Predictive Analytics: Going beyond gut feeling in the search for new customers

 In the never-ending quest for pre-qualified leads, increasing numbers of insurance companies are turning to predictive analytics to net potential customers from that great sea of people known as the general population. Popularized in the 2011 movie,...

Data Mining Group Updates PMML

 Version 4.2 of the Predictive Model Markup Language (PMML), which aims to make it easier to develop predictive analytics apps, is now available. The Data Mining Group, a vendor-led consortium of companies and organizations developing standards for...

How bad data can lead to good decisions (sometimes)

 Before companies can profit from big data, they often must deal with bad data. There may indeed be gold in the mountains of information that firms collect today, but there also are stores of contaminated or “noisy”...

Machine Learning and Predictive Analytics Foster Growth

 Machine learning technology, which is defined in this ProgrammableWeb article, is starting to become a common component in many types of technology platforms. Machine learning has led to the advent of predictive analytics, which has been rapidly...

Warren Buffett Offers $1 Billion For Perfect March Madness Bracket

 It’s not every day that Brady gets sent packing, Manning sends potential travelers scrambling to the midwest and a Stanford grad makes news for freaking out on reporter Erin Andrews but that’s exactly what happened on Sunday....

CPG companies could improve business performance with better use of analytics, Accenture study finds

 The majority of consumer packaged goods (CPG) companies are failing to place analytics at the heart of their decision-making process, limiting their ability to improve the customer  experience and gain business advantage, a study by Accenture has...

HR Should Hire ‘Scary’ Data People

 Too many people confuse reporting with analytics–and underinvest in making sure they are asking the right questions. Standard-issue reports about monthly employee turnover rates and average compensation per employee are important glances in the rearview mirror. But...

Poll Results: Text Analytics Use Shows No Significant Change

 Surprisingly, latest KDnuggets Poll did not find a significant change in Text Analytics use over the past 2 years. While 66% make some use of text analytics, only 19% use it on the majority of their projects....

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