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Smart cities and the storage challenges of adopting surveillance AI

Smart cities and the storage challenges of adopting surveillance AI

Smart cities and the storage challenges of adopting surveillance AI

The public sector is using sensors, Internet of Things (IoT) devices, and surveillance cameras to manage assets and resources more efficiently than ever before. Facial recognition, remote patient monitoring, and wrong-way driver detection are just a few of the advanced, insight-driven technologies seeing greater adoption today. At the centre of it all is data, which is continuously being gathered, analysed, and utilised for real-time decision-making.

This white paper discusses rapid changes in the global datasphere, the impact of real-time data analysis in safe and smart cities, and the storage best practices system integrators should implement to improve data flow and insights for customers.

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