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The Multiple Lenses of Predictive Analytics

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Manage episode 360811893 series 3467897
Content provided by Host: Dr. Matthew Klein. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Host: Dr. Matthew Klein or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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.

#water #WaterForesight #strategicforesight #foresight #futures @Aqualaurus

  continue reading

54 episodes

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iconShare
 
Manage episode 360811893 series 3467897
Content provided by Host: Dr. Matthew Klein. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Host: Dr. Matthew Klein or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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.

#water #WaterForesight #strategicforesight #foresight #futures @Aqualaurus

  continue reading

54 episodes

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