Charlie Berger talks with SE Radio’s Edaena Salinas about predictive applications. What are predictive applications? How are they built? What’s the role of machine learning in predictive applications? The interview explores implementing machine learning algorithms natively in the database, different machine learning algorithms, and how they’re applied. Topics include: machine learning, databases, data architecture, predictive applications.
SE Radio 305: Charlie Berger on Predictive Applications
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Really interesting interview, but I’m surprised that you discussed extensive use of personal data without mentioning privacy. A critical step in any processing of personal data is to filter only individuals that you have permission to process their data for the intended purpose.
[…] is constantly being left behind, a concept that Charlie Berger refers to as data exhaust in a podcast from October 10, 2017 on Software Engineering Radio. The larger concept that he is describing is […]