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...

Left-hand

Engineering Data Growth: The March is On

 From office furniture to conveyor belts, forgings, castings and a host of other products, durable goods manufacturer JSJ Corp. ran into the same problem many industrial firms face daily: so many people using so much data in so many places. Headquartered in Grand Haven, MI, JSJ’s design teams are dispersed in about 28 locations around

Solve the Engineering Data Dilemma

 Big Data has been both hailed as the currency of the Information Age and derided as overhyped. Both statements are true because data immediately loses much of its value if it cannot be properly analyzed and acted...

Big Data and the Internet of Things: Two Sides of the Same Coin?

 For more on the analytics of the Internet of Things, attend Predictive Analytics World for Manufacturing, June 8-11, 2015 in Chicago. Let’s kick this post off with a quick quiz. Read each statement below and determine if...

Solving Big Problems with Big Data

  Big data initiatives can solve some of the most vexing issues in health care. Big data generates a mixture of great promise, fantastic and delusional claims, impressive misunderstanding, and several early examples that are beginning to...

Detecting the Insider Threat – How to Find the Needle in a Haystack?

 How data science can help detect and prevent the insider threat In the previous posts, we have examined the insider threat from various angles and we have seen that insider threat prevention involves the information security, legal...

How UPS Uses Analytics to Drive Down Costs (and No, it Doesn’t Call it Big Data)

 Jack Levis will be keynoting at Predictive Analytics World conference in San Francisco Tuesday, March 31, 2015 and in Chicago June 2015. When you have an organization the size of UPS – with 99,000 vehicles and 424,000...

Why Health Care May Finally Be Ready for Big Data

 For more case studies in predictive healthcare, see Predictive Analytics World for Healthcare, October 2015 in Boston. There has been a lot of buzz about “big data” over the last few years. This is hardly surprising, given...

Tweets Tell Whether You Have A Job

 Twitter data mining could provide governments with an alternative means of measuring unemployment, researchers say. Researchers at universities in Australia, Spain, and the US, in conjunction with UNICEF, have found that Twitter posts can be mined to...

Keys to avoiding pitfalls on analytical models: testing, relevancy

  Predictive modeling can lead to some pretty bad insights when done poorly, but overcoming some common issues can help users sidestep problems on predictive analytics projects. Predictive modeling can be a powerful tool to help businesses...

Insurers still struggle with predictive analytics: Study

 Majority of the insurers cite lack of IT resources as their biggest challenge in implementing anti-fraud technology. Predictive Analytics World for Business, March 29 – April 2, 2015 in San Francisco, will include five (5) sessions on...

Page 47 of 54 1 42 43 44 45 46 47 48 49 50 51 52 54