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A growing number of cities, transit organizations and public-facing businesses are adopting artificial intelligence (AI)-enhanced technologies to identify and respond to security risks more effectively. In particular, advances in video surveillance technology can be an affordable force multiplier that delivers effective results.
Yet in some ways concerning security analytics, “artificial intelligence” is somewhat of a misnomer. A machine can be taught to be exceptional at finding patterns and even to improve its ability to identify these patterns over time. However, the machine isn’t thinking. These abilities come from algorithms that humans define, manage and validate.