Predictive Analytics

How the Florida Department of Juvenile Justice Utilizes Predictive Analytics to Gain Insight on Recidivism Rates

Criminal justice systems worldwide struggle with high rates of recidivism and poor correctional performance. According to a report released by Bureau of Justice Statistics (BJS) on April 2014, among all the 404,638 prisoners released in 2005 in 30 states of U.S., 67.8 percent of them were arrested within 3 years of release, and 76.6 percent were arrested within 5 years of release. (See following image)
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Crime Analysis with IBM Watson Analytics

Understanding, analyzing and creating reports on crime patterns, criminal behavior, and past crimes is crucial in efforts to help prevent crime. We published a blog post that discusses how police forces are utilizing predictive analytics to understand the crime in their area and determine crime “hot spot” maps to better patrol certain areas. We also published a post on how Universities are utilizing predictive analytics to address where and when criminal activities are likely to happen on campuses.
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Predictive Analysis – A New Solution for IT Security

Since the birth of the first PC, security issues threatens every industry that is implementing IT technology. Traditionally, the solution for IT security was to build a specific response on a specific cybersecurity threats. Since a few years ago, leading companies in the security industry have pronounced that, for every known threat, there is a solution. This is likely to be true.
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Using IBM SPSS Predictive Analytics to Gain University Campus Security Analysis

U.S. News recently published the 2015 Best College rankings which includes the latest rankings for all US colleges and universities. However, if you pay attention to the details, one thing may surprise you – crime data, or more precisely campus security, were not factored into the Best Colleges rankings methodology.
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How the Oil and Gas Industry Utilizes Predictive Analytics for Key Insights

Big Data and analytics may be a fresh word to some industries, but the oil and gas industry has long dealt with large quantities of data to make technical decisions. With the rise of pervasive computing devices as well as new analytic tools and advanced storage capabilities, companies can capture more detailed data in real time at lower costs and from previous inaccessible areas, to improve their performance. Information and data are now going through a big expansion, which makes predictive analysis more and more important to the oil and gas industry.
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