Machine Learning Times
Machine Learning Times
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Why Machine Learning is Central to Reverse Supply Chain 2.0
  E-commerce growth and a worldwide pandemic have brought...
Watch 3 Videos from Coursera’s New “Machine Learning for Everyone”
  I’m pleased to announce that, after a successful...
97 Things About Ethics Everyone In Data Science Should Know
 Every now and then an opportunity comes along that...
Machine Learning is Transforming Modern Healthcare
 The pandemic has propelled the adoption of innovation and...
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3 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 to the

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