Reference no: EM131646887
1. Many predictive analytic models are based on neural network technologies. What is the role of neural networks in predictive analytics? How can neural networks help predict the likelihood of future events? In answering these questions, specifically reference Blue Cross Blue Shield of Tennessee.
2. What if the Richmond police began to add demographic data to its predictive analytics system to further attempt to determine the type of person (by demographic) who would in all likelihood commit a crime? Is predicting the type of person who would commit a crime by demographic data (ethnicity, gender, income level, and so on) good or bad?
3. In the movie Gattaca, predictive analytics were used to determine the most successful career for a person. Based on DNA information, the system determined whether or not an individual was able to advance through an educational track to become something like an engineer or if the person should complete only a lower level of education and become a janitor. The government then acted on the system's recommendations and placed people in various career tracks. Is this a good or bad use of technology? How is this different from the variety of personal tests you can take that inform you of your aptitude for different careers?
4. What role can geographic information systems (GISs) play in the use of predictive analytics? As you answer this question, specifically reference FedEx's use of predictive analytics to (1) determine which customers will not respond positively to a price increase and (2) project additional revenues from proposed drop-box locations?
5. The Department of Defense (DoD) and the Pacific Northwest National Laboratory are combining predictive analytics with visualization technologies to predict the probability that a terrorist attack will occur. For example, suspected terrorists caught on security cameras who loiter too long in a given place might signal their intent to carry out a terrorist attack. How can this type of predictive analytics be used in an airport? At what other buildings and structures might this be use.