Machine Learning Times
EXCLUSIVE HIGHLIGHTS
2 More Ways To Hybridize Predictive AI And Generative AI
  Originally published in Forbes Predictive AI and generative AI...
How To Overcome Predictive AI’s Everyday Failure
  Originally published in Forbes Executives know the importance of predictive...
Our Last Hope Before The AI Bubble Detonates: Taming LLMs
  Originally published in Forbes To know that we’re in...
The Agentic AI Hype Cycle Is Out Of Control — Yet Widely Normalized
  Originally published in Forbes I recently wrote about how...

Archive for June, 2014

5 Big Data Vendors To Watch

  Big Data is often associated with big vendors—the likes of IBM, Oracle and SAP. But the industry is also full of up and comers and niche specialists that could make an impact on a market said to be worth more than $32 billion by 2017. Gartner has released a list of five Big Data

What’s machine learning? It depends on who you ask

  As interest in machine learning has grown, its definition has expanded to include a panoply of techniques for automating knowledge and pattern discovery from fresh data Data scientists are professionals who use the most appropriate tools...

Webinar: Towards Solving Employee Attrition: Cost Modeling

 Presented by: Pasha Roberts, Chief Scientist, Talent Analytics, Corp. Watch Webinar. Pasha Roberts, Chief Scientist at Talent Analytics, Corp., discusses Talent Analytics’ first step when using a predictive analytics approach for solving employee attrition challenges. Severe employee...

Tell Your Kids to be Data Scientists, Not Doctors

 Recently I had the pleasure of being interviewed by John Phillips at CNBC about our data scientist salary study. His article, Why Your Kids Will Want to be Data Scientists, was published at the end of May, and...

Predictive Analytics Helps Vodafone Ring Up Sales

 The European telecom provider turns to a predictive analytics solution to improve its forecasting capabilities, predict customer behavior and boost performance. Understanding the rapid and radical pace of change in today’s business environment is no simple task....

It is a Mistake to…. Listen Only to the Data

 (Part 5 of 11 of the Top 10 Data Mining Mistakes, drawn from the Handbook of Statistical Analysis and Data Mining Applications) Inducing models from data has the virtue of looking at the data afresh, not constrained...