Machine Learning Times
EXCLUSIVE HIGHLIGHTS
The AI Paradox: More Humanlike Means Less Autonomous
  Originally published in Forbes The AI executives are at...
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...

Big data architecture

Tag management: Emerging areas for predictive analytics

 An exponential increase in data volume only supports an improvement in business practices when the right analytical processes are deployed. Today, even managing real-time data and having a firm grasp on current trends isn’t enough. Without predictive analytics, businesses are still stuck in reactive mode. Organizations don’t just need to know what users are doing