Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
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,...
Effective Machine Learning Needs Leadership — Not AI Hype
 Originally published in BigThink, Feb 12, 2024.  Excerpted from The...
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4 years ago
Data Science Strategies for Banks and Credit Unions During COVID-19 and Beyond

 For more information on this topic, attend the virtual conference, Predictive Analytics World for Industry 4.0, May 31-June 4, 2020.  So many things are changing rapidly as the world responds to the risk from coronavirus. We know that there is no such thing as “business as usual”, but what does that really mean? Some firms are doing better than usual, but many more are doing worse, or at least differently than they have historically. We support clients in financial services and fintech. There is a lot at stake. Our experiences from the recession, combined with our work practice

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