Dr. Eric Siegel joins the Water Foresight Podcast to discuss "The Multiple Lenses of Predictive Analytics." What is the difference between "big data," "artificial intelligence," "machine learning," and "predictive analytics"? How will predictive analytics change (and change society) over the next 10 years? Will the application of predictive analytics expand throughout the water sector? Does lift modeling have anything to do with lift stations? What are the ethical implications or risks of predictive analytics? Is there a social justice challenge? Is there a cybersecurity challenge? Are there any current applications of predictive analytics from other sectors likely to make their way into the water sector? Are there emerging Constitutional issues in the future of predictive analytics? What is "deep learning"? Was this invented by Jack Handy? Finally, will predictive analytics keep slow drivers out of the left-hand lane during rush hour? The podcast is cautiously optimistic.