The fear of reproducing society's prejudices through computer algorithms is being hotly discussed in both academic publications and the popular press. Just a few of the publications warning about bias in predictive analytics include the New York Times, the Guardian, the Harvard Business Review, and particularly a famous and hotly contested article by Propublica on predictions of recidivism among criminal defendants. In this Q&A, Zoomdata asks Andy Oram, co-author of its recent report Delivering Embedded Analytics in Modern Applications, what the fuss is about and what data scientists currently know about bias in algorithms.
Customer Insights addresses three pain points that virtually every organization faces when trying to improve customer engagement: data silos, an incomplete understanding of customer behavior, and inconsistent metrics.
BI and visualization tools must balance power and freedom to perform ad-hoc analysis with security, access control, and audit capabilities.