Machine Learning Times
EXCLUSIVE HIGHLIGHTS
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...
Predictive AI Thrives, Despite GenAI Stealing The Spotlight
 Originally published in Forbes Generative AI and predictive AI ought...

Predictive Analytics World

The Greatest Power of Big Data: Predictive Analytics

Every day’s a struggle. I’ve faced some tough challenges such as which surgery to get, how to invest for my business and even how to deal with identify theft. With so much stuff coming at me from all angles, daily prosperity relies on spam filters, Internet search engines, and personalized music and movie recommendations. My mailbox wonders...

Will Privacy Concerns Stop Or Stunt The Power Of Predictive Analytics?

 The power of predictive analytics in the age of Big Data is super-cool, but will privacy concerns stop or stunt it’s adoption? Watch this episode of Forrester TechnoPolitics with Eric Siegel, author of Predictive Analytics: The Power...

Wise Practitioner – Predictive Analytics Interview Series: Philip O’Brien at Paychex

In anticipation of their upcoming conference presentation at Predictive Analytics World Boston, "Shaping Sales Strategy with Predictive Analytics," we asked Philip O'Brien - MIS and Portfolio Manager and Tom Kern – Risk Modeling Analyst at Paychex -...

Dr. Eric Siegel, Executive Editor, Machine Learning Times

Eric Siegel, Ph.D., is a leading consultant and former Columbia University professor who helps companies deploy machine learning. He is the founder of the long-running Machine Learning Week conference series and its new sister, Generative AI World, the instructor of...

Page 8 of 8 1 3 4 5 6 7 8