Cities across the globe are more focused on security now than ever before — and with good reason. Traditional security risks, such as riots and terrorism, continue to evolve, while cybersecurity risks have become more prevalent. And natural disasters, whether weather-related or a global pandemic, possess the ability to stop a city’s operations in its tracks. These challenges make it clear that the stakes are high and as the impact on an organization rises, the need for real-time, predictive response increases.
The demand for ensuring safety in cities has also reached another level due to the coronavirus outbreak. Overall, this unprecedented event is forcing significant changes in the way a city protects its citizens. As priorities have shifted and officials look to determine the best way to move forward, restarting operations has become the most important objective. While the pandemic’s effects present many challenges, stakeholders can rely on technology to augment existing processes and objectives. Many cities are finding unique uses for their existing security technology in particular as they define the processes and policies necessary to return to a sense of relative normalcy.
Safe City initiatives that leverage Smart City concepts are one of the best ways to build an efficient, proactive security posture to protect what matters most and propel increased collaboration between city officials, security leaders, law enforcement, and first responders. Cooperation, including public-private alliances, allows cities to identify current threats while analyzing data points to address future risks. Safe City initiatives help regions achieve accurate situational awareness by aggregating a large amount of data and turning it into valuable information, which enables officials to identify threats, manage emergency situations, and investigate incidents.
Enter AI
Safe and Smart City environments would not be possible without the use of intelligent technology — especially as cities look to boost communication and collaboration. However, typical systems, such as video surveillance, security sensors, IoT devices, and traffic congestion systems traditionally operate in silos. Video and business analytics can be part of these deployments, but without a common way to analyze data, true intelligence cannot be achieved. Therefore, organizations must coordinate data from multiple subsystems and then collaborate with other stakeholders as needed, which is a significant barrier to automation, rapid decision-making, and smart risk mitigation. Welcome AI.
One of the biggest trends in technology today is centered around solutions that take advantage of the wealth of connected security systems and devices powering the organizations all over the world. As the number of cloud-powered systems and sensors have massively grown in recent years, security leaders in the public sector have started to look at ways to leverage the data from these devices to better the lives of employees, customers, and residents.
But while the dream of creating a smarter, safer environment remains the top priority for cities throughout the world, myriad factors hold security leaders back from implementing more advanced technologies across their infrastructures.
Cities face the challenge of trying to answer numerous questions using the big data generated by their various systems and technologies. How are they going to handle the influx of information that all these disparate systems generate? How can it be analyzed to extract any useful information or insight? What IT security controls are put in place to safeguard the data? How can the data be effectively curated and funneled to the right people at the right time? How can we make our security footprint more proactive rather than constantly reactive?
The answer is artificial intelligence. AI is undoubtedly one of the bigger disrupters in the physical security industry and adoption is growing at a rapid rate. And it’s not just about video analytics. Rather, it is data AI, which is completely untapped by the security industry
Today, all divisions of an enterprise are trying to leverage AI and big data to improve their competitive advantage and bottom line. The physical security industry realizes they can significantly benefit from better, faster, and more accurate intelligence from the now unstructured, bottomless silos of security data; only then will this result in positioning physical security from a primarily reactive business to a revolutionary new proactive environment.
Cities looking to be smarter and safer need to focus on reinventing how security personnel, first responders and safety resources are allocated. And it all has to start with intelligence derived from Davista’s AI solution. City leaders can combine multiple data sources with predictive and prescriptive analytics and AI to inform and dynamically deploy personnel, assets, and technologies. The Heimdall solution drives automation of their current manual processes to maximize the effectiveness and efficiency of their entire security operations.
With Heimdall, decision-makers can perform long-term planning and more strategically informed day-to-day operations. A software- as-a-service business model empowers security to go beyond traditional static business intelligence visualization and reporting systems to transformative dynamic, predictive and prescriptive decision-making environments. All available in a cost-effective, configurable platform that is designed to meet the specific needs of smart cities across the globe.
Learn how to add AI to operationalize more of your security practices. Heimdall will help you work collaboratively to leverage the tools available to transition away from a reactive stance and gain informed insight into the future. Heimdall will help you prepare for and stay one step ahead of what is coming down the road.
The demand for ensuring safety in cities has also reached another level due to the coronavirus outbreak. Overall, this unprecedented event is forcing significant changes in the way a city protects its citizens. As priorities have shifted and officials look to determine the best way to move forward, restarting operations has become the most important objective. While the pandemic’s effects present many challenges, stakeholders can rely on technology to augment existing processes and objectives. Many cities are finding unique uses for their existing security technology in particular as they define the processes and policies necessary to return to a sense of relative normalcy.
Safe City initiatives that leverage Smart City concepts are one of the best ways to build an efficient, proactive security posture to protect what matters most and propel increased collaboration between city officials, security leaders, law enforcement, and first responders. Cooperation, including public-private alliances, allows cities to identify current threats while analyzing data points to address future risks. Safe City initiatives help regions achieve accurate situational awareness by aggregating a large amount of data and turning it into valuable information, which enables officials to identify threats, manage emergency situations, and investigate incidents.
Enter AI
Safe and Smart City environments would not be possible without the use of intelligent technology — especially as cities look to boost communication and collaboration. However, typical systems, such as video surveillance, security sensors, IoT devices, and traffic congestion systems traditionally operate in silos. Video and business analytics can be part of these deployments, but without a common way to analyze data, true intelligence cannot be achieved. Therefore, organizations must coordinate data from multiple subsystems and then collaborate with other stakeholders as needed, which is a significant barrier to automation, rapid decision-making, and smart risk mitigation. Welcome AI.
One of the biggest trends in technology today is centered around solutions that take advantage of the wealth of connected security systems and devices powering the organizations all over the world. As the number of cloud-powered systems and sensors have massively grown in recent years, security leaders in the public sector have started to look at ways to leverage the data from these devices to better the lives of employees, customers, and residents.
But while the dream of creating a smarter, safer environment remains the top priority for cities throughout the world, myriad factors hold security leaders back from implementing more advanced technologies across their infrastructures.
Cities face the challenge of trying to answer numerous questions using the big data generated by their various systems and technologies. How are they going to handle the influx of information that all these disparate systems generate? How can it be analyzed to extract any useful information or insight? What IT security controls are put in place to safeguard the data? How can the data be effectively curated and funneled to the right people at the right time? How can we make our security footprint more proactive rather than constantly reactive?
The answer is artificial intelligence. AI is undoubtedly one of the bigger disrupters in the physical security industry and adoption is growing at a rapid rate. And it’s not just about video analytics. Rather, it is data AI, which is completely untapped by the security industry
Today, all divisions of an enterprise are trying to leverage AI and big data to improve their competitive advantage and bottom line. The physical security industry realizes they can significantly benefit from better, faster, and more accurate intelligence from the now unstructured, bottomless silos of security data; only then will this result in positioning physical security from a primarily reactive business to a revolutionary new proactive environment.
Cities looking to be smarter and safer need to focus on reinventing how security personnel, first responders and safety resources are allocated. And it all has to start with intelligence derived from Davista’s AI solution. City leaders can combine multiple data sources with predictive and prescriptive analytics and AI to inform and dynamically deploy personnel, assets, and technologies. The Heimdall solution drives automation of their current manual processes to maximize the effectiveness and efficiency of their entire security operations.
With Heimdall, decision-makers can perform long-term planning and more strategically informed day-to-day operations. A software- as-a-service business model empowers security to go beyond traditional static business intelligence visualization and reporting systems to transformative dynamic, predictive and prescriptive decision-making environments. All available in a cost-effective, configurable platform that is designed to meet the specific needs of smart cities across the globe.
Learn how to add AI to operationalize more of your security practices. Heimdall will help you work collaboratively to leverage the tools available to transition away from a reactive stance and gain informed insight into the future. Heimdall will help you prepare for and stay one step ahead of what is coming down the road.