Big data and AI are highly complementary to each other – big data sets enable AI to leverage its strengths in machine learning; and through its processes, AI renders complex big data understandable by discovering relationships that would have gone unseen even by today’s big data tools.
The buzz word “big data” has been around in information technology for a while, but only recently has it been correlated with Public Safety. While big data is defined as data sets whose size or type are beyond the ability of traditional relational databases to capture, manage, process and analyze; it also incorporates components of artificial intelligence (AI), mobile data, social media and the Internet of Things (IoT), including data from sensors, devices, video/audio, networks, log files, transactional applications, web, and social media.
Big Data Defined. Big data refers to the unprecedented amount of data created through an increasingly connected and mobile world, cloud computing, and, above all, the Internet of Things. The volume and velocity of data available today was unthinkable even a few years ago and have overwhelmed traditional data processing and analytical techniques. In response, new databases and analytical tools were created with the capacity to deal with these extremely large data sets.