Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
How Predictive AI Will Solve GenAI’s Deadly Reliability Problem
  Originally published in Forbes Generative AI too unreliable to...
5 Ways To Hybridize Predictive AI And Generative AI
  Originally published in Forbes AI is in trouble. Both...
This Simple Arithmetic Can Optimize Your Main Business Operations
 Originally published in Forbes Deep down, we all know that...
Predictive AI Usually Fails Because It’s Not Usually Valuated
 Originally published in Forbes Why in the world would the...

Left-hand

The rise of pred med: How to keep predictive medicine ethical – and useful

 Big Data is moving into America’s hospitals, whether we like it or not. Electronic health records are combining with clinical analytics that can synthesize huge amounts of data. Soon doctors will rely on predictive analytics to more accurately diagnose patients and allocate medical resources. Predictive analytics, according to Glenn Cohen in an article he co-authored

Stop Searching for That Elusive Data Scientist

  Based purely on the data, a really good data scientist will probably tell you the odds are poor that you’ll be able to find and hire really good data scientists. Surveys say there simply aren’t enough people with...

Analytics will target obvious health law fraudsters, tax official says

 Dean Silverman keynoted at Predictive Analytics World for government, September 15-18, to see more on the conference click here. Dean Silverman, head of the Internal Revenue Service’s Office of Compliance Analytics, leads the charge to transform taxpayer...

When To Use Supervised And Unsupervised Data Mining

 Data mining techniques come in two main forms: supervised (also known as predictive or directed) and unsupervised (also known as descriptive or undirected). Both categories encompass functions capable of finding different hidden patterns in large data sets....

How Cities Are Using Analytics to Improve Public Health

 From clean water supplies to the polio vaccine, the most effective public health interventions are typically preventative policies that help stop a crisis before it starts. But predicting the next public health crisis has historically been a...

Predictive Analytics Have the Highest Value, So Why Are Utilities Analyzing the Past?

 Many utilities are realizing that the huge amount of granular data coming at them can be leveraged to tackle their biggest challenges, such as distributed generation and engaging consumers beyond traditional power delivery. A growing number of...

Did You Check the Box on HR Analytics?

 For more case studies in HR analytics, see Predictive Analytics World for Workforce, March 31-April 1, 2015 in San Francisco. A good deal of HR analytics is about studying trends and investigating the driving forces behind those...

For Big-Data Scientists, ‘Janitor Work’ Is Key Hurdle to Insights

 This New York Times article addresses what most predictive analytics practitioners refer to as data preparation. Although it uses other terms to refer to that, it draws a good birds-eye-view vantage on the topic, and covers an...

Music Data Analyst Turns Sights to Books

 In 2009, Alexander S. White, a former Universal Music Group intern, co-founded a company called Next Big Sound that analyzed vast amounts of data about musicians — from Twitter activity to Wikipedia searches to radio appearances —...

Using Predictive Analytics to Improve Hire Quality

 To learn more about talent analytics, attend Predictive Analytics World for Workforce As the economy improves, demand for new hires is rising as more departing and retiring employees leave openings to fill. With increased voluntary turnover, organizations...

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