How Big Data Works For Safe Cities

By Kevin Wine, Vice President Marketing Americas, Video & Situation Intelligence Solutions, Verint Systems

The need for heightened security and comprehensive solutions has become apparent as we continue to see a rise in threatening situations occur around the world, such as active shooter incidents, terrorist attacks, and natural disasters. The simple fact is that we no longer live in a world that can be kept safe by law enforcement alone. Intelligent technologies and Big Data analysis have become increasingly important in helping to escalate security efforts to best protect cities and the citizens who reside within them. The combination of large amounts of valuable data and identifying information on potential threats can help regions achieve true situational awareness. The evolution of data capture and Big Data analysis enables officials to quickly and effectively identify threats, manage emergency situations, and investigate incidents more efficiently and effectively.

Urbanization has driven thousands, sometimes millions, of people to large metropolitan areas. The rise in city populations across the globe not only drives opportunity but it leads to increased vulnerabilities to threats that place the safety and well-being of citizens at significant risk. To manage these risks, public safety, law enforcement and intelligence agencies must adopt a more comprehensive approach to safety, one that includes methods to identify warning signs of unrest and violence. Real-time information gathering and 24/7 monitoring allows the gathering of intelligence and evidence to provide timely and efficient response.

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