Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Survey: Machine Learning Projects Still Routinely Fail to Deploy
 Originally published in KDnuggets. Eric Siegel highlights the chronic...
Three Best Practices for Unilever’s Global Analytics Initiatives
    This article from Morgan Vawter, Global Vice...
Getting Machine Learning Projects from Idea to Execution
 Originally published in Harvard Business Review Machine learning might...
Eric Siegel on Bloomberg Businessweek
  Listen to Eric Siegel, former Columbia University Professor,...

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