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,...

Left-hand

The Well-Rounded Data Scientist

  The work of interpreting data to help decision-makers goes back some 5,000 years to the bureaucrats and businessmen of ancient Sumer. But dealing with the astronomical size and complexity of modern data sets requires a new, multifaceted set of computational, statistical, and communication and people skills, called “data science.” Data scientists are among the

Sports Analytics Making Line Changes in Hockey and Business

 NHL franchises are slowly embracing the ‘Moneyball’ strategy of using analytics to assist in coaching, training and player evaluation but the league has been behind the other sports for two reasons. Hockey has more of a flow...

The Right Data Can Sweeten Returns on Ad Investments

 All the data in the world won’t increase the return on your advertising expenses by itself, but some clever ideas from a San Francisco analytics conference might. In back-to-back presentations, attendees at Predictive Analytics World heard how...

6 Blackjack Lessons to Improve Your Marketing Analytics

 The game of  blackjack offers six important lessons for managers trying to make sense of marketing data, according to the man who crunches the numbers for Orbitz Worldwide. Sameer Chopra, vice president of advanced analytics for the...

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...

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...

Amazon Knows What You Want Before You Buy It

 Anticipatory shipping may be closest that retail can come to a crystal ball. Amazon, which now has a patent for the algorithm-based system, could conceivably use the system to ship products before you even place an order....

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,...

“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,...

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