Machine Learning Times
Machine Learning Times
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Artificial Intelligence in Marketing
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Predictive AI Streamlines Operations In This Surprisingly Simple Way
 Originally published in Built In, May 22, 2024. Your...
Why You Must Twist Your Data Scientist’s Arm To Estimate AI’s Value
 Originally published in Forbes, June 11, 2024. If you’ve...
3 Ways Predictive AI Delivers More Value Than Generative AI
 Originally published in Forbes, March 4, 2024. Which kind...
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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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