Machine Learning Times
EXCLUSIVE HIGHLIGHTS
The AI Paradox: More Humanlike Means Less Autonomous
  Originally published in Forbes The AI executives are at...
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...

Industry News

5 steps in mastering big data, predictive analytics this year

 In the past, big data discussions centered mostly on storage and organization followed by debates on the best way to do analysis in real-time or otherwise. This year the buzz centers on predictive analytics. Of, course we’ve been talking about this for a year or so now but really, it was just talk. Hardly anyone

Big predictions for Big Data for community banks

 Department store conglomerate Target Brands Inc. knows when its female customers are pregnant long before they start buying cribs. Google Inc. was able to track the H1N1 flu in real-time using Internet search queries when the government...

Talent Analytics Isn’t Enough

   Was 2013 the Year of Talent Analytics? I think it’s safe to say that “2013 was the year of talent analytics”. Global discussions about talent analytics, as a concept, have certainly been great for our brand,...

Audio: Barry List interviews Eric Siegel on the privacy concerns related to predictive analytics

 Listen to the Podcast Here HR departments routinely collect information about their employees. But what happens when they use predictive analytics to predict if someone might leave the company – and that someone is you? Eric Siegel,...

Data Science – Found Your Unicorn Yet?

 You’ll find much banter in the data science ecosystem these days about all the skill-sets required to effectively function as a data scientist. Some have gone so far as to label the perfect melange of experience and...

Personalization Is Back: How to Drive Influence by Crunching Numbers

 Standard predictive analytics does not directly address what is the greatest challenge faced by marketing and healthcare: Across large numbers of individuals, deciding who to treat in a certain way. Yes, you heard me correctly. Predictive analytics...

Predictive Analytics Market to Reach USD 6,546.4 Million by 2019, Globally: Transparency Market Research

 According to a new market report “Predictive Analytics Market (Customer intelligence, Decision support systems, Data mining and management, Performance management, Fraud and security intelligence, Risk management, Financial intelligence, Operations and Campaign management) – Global Industry Analysis, Size,...

Data Scientist: Evolution of the Business Analyst

 The business/data analyst role is evolving into a new role due in part to the new technology of big data. The data scientist role has emerged because of the increase in breadth and depth of data being...

“Data Scientist” catches “Statistician”, surpasses “Data Miner”

 The rapidly rising term “Data Scientist” caught up with “Statistician” and surpassed “Data Miner” on Google Trends. However, Statistics remains a lot more popular than “Data Science”, which begs the question: What do Data Scientists do? Clearly,...

Searching for data scientists? They come in sets of 3!

 Data scientists have been called the most sought-after IT professionals of all for 2014. But that mission is distorted on two fronts, according to one current data scientist. Dr. Michael Wu, chief scientist at Lithium Technologies (aka,...

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