oic

We find the needle in the haystack and fast

As well as enhancing safety and security, Qognify solutions distill mountains of data into meaningful intelligence to optimise business processes, cut costs and reduce the risk, and mitigate the impact, of shutdowns and service disruptions. The company sells solutions for airports, rail, traffic management, utilities, the financial sector and other environments where even minor setbacks can cost millions of pounds in lost revenue or cause major economic disruption. We spoke to Moti Shabtai, Qognify CEO and president, about the company s suite of big-data solutions, including Qblock, Suspect Search and Operational Intelligence Center.

IFSEC Global: Please tell us about your Operational Intelligence Center? Moti Shabtai: The Operational Intelligence Center (OIC) can be described as a big data machine that sits on top of our Qognify Situator PSIM solution and provides intelligence to the security team, the operational team, the executive suite as well as the wider organisation. It correlates huge amounts of data to give a snapshot overview, along with deep insight into how the organisation is performing. Using the OIC, an airport can run predictive analytics to assess what would happen if a runway were to be closed One sector where the OIC is proving very popular is airports. They are measured on how many connections airlines choose to have through their airport versus another. If they re not providing a good service, it costs airlines money and therefore they may choose to go with another airport. So, knowing your response times, whether you are meeting your service level agreements and being aware of the number and the root cause of flights being diverted, is vitally important. Using the OIC, an airport can run predictive analytics to assess what would happen if a runway is to be closed. How would it impact the capacity to contain landings?

When would planes need to be diverted because the airport can t absorb more landings? We have been working with one of the biggest airports in the world that is using the OIC to check how it is performing and how it is trending against its own KPIs as well as how to predict what may happen if the airport continues on a certain trend. IG: Where other than airports is the OIC useful? MS: The OIC is ideal for any mission-critical environments where the cost of business obstruction is very high. So airports, mass transit, seaports, financial institutions and utilities are key sectors for the solution. Also, smart cities initiatives around the world, where we are having conversations with governments and mayors, looking at how they can improve safety and security for their citizens, but also to optimise essential city infrastructure such as telecoms, water supply, sewer systems and traffic management. We take a sea of data which is getting bigger all the time and turn it into usable intelligence For example, we have a city that uses OIC and Situator to handle tickets for traffic violations. It has tripled the number of tickets by automating the process and making it much more efficient! So, Qognify Situator is the solution that enables operators or managers to manage situations and incidents, whereas the OIC focuses on operational intelligence and performance.

IG: Please tell us a bit about Qblock MS: Qblock is a converged IT solution for mass video storage. It s meant for those mission-critical organisations that cannot afford to lose anything and are seeking a zero-failure solution. They appreciate the benefits that network-attached storage is providing. IG: Do Qognify solutions deploy machine learning or deep learning? MS: Yes, our Suspect Search video analytics application is heavily based on both deep learning and neural networks, to analyse huge amounts of people and create a digital signature of whoever you are. IG: What kind of sectors or adjacent areas might you want to diversify into? MS: We are open to any opportunities to do with big data that complements our solution. We re a software company that specialises in finding the needle in the haystack and fast. We take a sea of data and that sea is getting bigger and bigger all the time and turn it into information and usable intelligence.

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