Today, AI continues to transform the way data is used to make important business decisions. AI and the cloud together are redefining how video surveillance systems are being used to simulate human intelligence by combining data analysis, prediction, and process automation with minimal human intervention. Many organizations are upgrading their surveillance systems to reap the benefits of technologies like AI and cloud applications.
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For years, the cloud has captivated the physical security industry. And for good reason. Remote access, elastic scalability and simplified maintenance reshaped how we think about deploying and managing systems. But as the number of cameras grows and resolutions push from HD to 4K and beyond, the cloud’s limits are becoming unavoidable. Bandwidth bottlenecks. Latency lags. Rising storage costs. These are not abstract concerns.
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For years, the worlds of physical security and information technology (IT) remained separate. While they shared common goals and interests, they often worked in silos.
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In situations where AI supports important security tasks like leading investigations and detecting threats and anomalies, transparency is essential. When an incident occurs, investigators must trace the logic behind each automated response to confirm its validity or spot errors. Demanding interpretable AI turns opaque “black boxes” into accountable partners that enhance, rather than compromise, organizational defense.
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Denial, Anger, Bargaining, Depression and Acceptance. You may recognize these terms as the “5 Phases” of a grieving process, but they could easily describe the phases one goes through before adopting any new or emerging innovation or technology, especially in a highly risk-averse industry like security. However, the desire for convenience in all aspects of modern life is finally beginning to turn the tide from old school hardware as the go-to towards more user-friendly, yet still secure, door solutions.
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