Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Hybrid AI Emerges To Tame LLMs – And Not A Moment Too Soon
 Originally published in Forbes The great potential of LLMs is...
AGI Is Infeasible. Instead, Pursue Superhuman Adaptable Intelligence
  Originally published in Forbes On a recent episode of the...
Artifact-Driven Development: Making It Possible to Query Large Analytics and AI Projects
 A practical introduction to making complex project structure explicit...
Incoherent AGI Hype Spurs An Industrywide Pivot To Hybrid AI
  Originally published in Forbes Recently on The Dr. Data Show,...

Industry News

Storm or Spark: Choose your Real-Time Weapon

 Real-time business intelligence is going mainstream, thanks in part to the Storm and Spark open source projects. Here’s how to choose between them. The idea of real-time business intelligence has been around for a while (see the Wikipedia page on the topic begun in 2006). But while people have been talking about the idea for

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...

Can mHealth, Predictive Analytics Improve Care Coordination?

 For more case studies in predictive healthcare, see Predictive Analytics World for Healthcare, October 2015 in Boston. Providers are seeking value in mHealth, but better predictive analytics may be required to make patient-generated health data truly effective....

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...

HR Ranks at the Bottom — Reasons to Adopt Metrics and Predictive Analytics

 When you survey the most frequent users of analytics and metrics in the corporate world, not surprisingly you find that HR ranks at the very bottom. Compared to finance, which is ranked No. 1, HR compares poorly...

Prescriptive versus Predictive Analytics – A Distinction without a Difference?

 Summary:  Is the addition of “Prescriptive” analytics to our nomenclature really worthwhile or are we just confusing our customers? I admit to being annoyed when this or that industry wag tries to coin a new term to...

The Single Best Predictive Modeling Technique. Seriously.

 I read two strangely similar articles last week. One was an article by Vincent Granville, entitled “The 8 worst predictive modeling techniques”. The other was an article on Forbes entitled “America’s 10 Best-Paying Jobs”. What on Earth...

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...

Rock Health: How Predictive Analytics Impacts Patient Care

 For more case studies in predictive healthcare, see Predictive Analytics World for Healthcare, October 2015 in Boston. As data sources and technology advance, algorithms will be able to deliver better, personalized care. Though personalized medicine has yet...

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