Machine Learning Times
Machine Learning Times
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Elon Musk Predicts Artificial General Intelligence In 2 Years. Here’s Why That’s Hype
 Originally published in Forbes, April 10, 2024 When OpenAI’s...
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...
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7 years ago
Wise Practitioner – Predictive Analytics Interview Series: Andrew Burt at Immuta

 In anticipation of his upcoming conference presentation, Regulating Opacity: Solving for the Conflict Between Laws and Analytics at Predictive Analytics World for Business New York, Oct 29-Nov 2, 2017, we asked Andrew Burt, Chief Privacy Officer & Legal Engineer at Immuta, a few questions about his work in predictive analytics. Q: In your work with predictive analytics, what challenges do you most frequently encounter? A: I consistently come across three types of problems faced by data science teams large and small: access, collaboration, and governance issues. On the access side, data scientists have an incredibly difficult time getting

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