In this podcast with Lee Odess with Inside Access Control, Davista's Scott Sieracki discusses the company's unique approach to leveraging artificial intelligence in corporate security and law enforcement environments, and plans for growth moving forward.
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By Joel Griffin
The terms artificial intelligence (AI) and machine learning have almost become synonymous in today’s security industry with intelligent video analysis solutions. However, while many of these technologies are relegated to deriving some type of actionable data from a camera feed, few have tried to apply that to the entirety of an organization’s security operations. That is the goal of Davista, which has developed an AI platform that is designed to key in on the data generated by a multitude of security devices and systems.
Read the complete article on the SecurityInfoWatch Web site.
Last week, we had the opportunity to present our company, and the Heimdall solution to a group of consultants and engineers focused on the physical security space. The event provided us with time to give details on our company and our approach to technology. We also discussed the overall challenges we see within the market, which dovetailed into what we can do as an industry to help solve these problems.
The current challenge is significant: trying to answer numerous questions using the data generated by various systems and technologies. How can security leaders 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 always reactive?
We believe that using artificial intelligence and visual data analytics can help provide real-time information to cull through this data and increase security and safety. AI is driving a sea change in the physical security industry, and adoption is growing rapidly. And this is data AI, which is entirely untapped by the security industry. By combining data sources and using predictive visual analytics to automatically funnel the data leaders need to allocate personnel, assets, and technologies in the right way and at the right time, stakeholders can realize intelligent data-driven asset management and resource allocation.
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