Authorities in major US cities such as New York, Rochester, Las Vegas, Memphis, Los Angeles, and Charleston, have been using Big Data and predictive analytics, with the aid of IBM to "augment its officers' years of experience and knowledge and provide them with a more in-depth method of looking at crime trends by centralizing previously disparate information including patrols, types of criminal offenses that are trending, time of day, day of week and even weather conditions."
What this means is that Big Data is being utilized to predict crime hot spots in US cities. By doing this, the authorities remain one step ahead of the bad guys, and more often than not they'll be there lying in wait to catch them red handed. The down side is, criminals can just as easily pick new locations when they feel the authorities have homed in on them.
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