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Organizations are expanding their focus beyond solving immediate health and safety challenges and are looking to utilize security technology to also drive operational efficiencies, find cost savings, and optimize logistics.
For at least the last couple of years, artificial intelligence (AI) has been one of the biggest trends in the security industry. Offering the ability to “learn” over time, AI provides the technology to anticipate and identify potential issues as they are unfolding.
The sheer amount of video and other data generated by security and non-security devices today is massive, and its growth is seemingly exponential — with more and more created every day.
Building on 2019’s trends of smarter integrations, machine learning and artificial intelligence, the 2020 show promises huge leaps in cyber security, access control, cloud-based security, and ML & AI.
STANLEY Security, a global integrator of comprehensive security solutions, today released its 2020 Industry Trends Report. This report — which includes survey data from decision makers across North America and Europe, monitoring data from more than 400,000 STANLEY Security customers and insights from leaders across the organization — defines the major trends that may impact security consumers in the coming year.
The concept of ‘business intelligence’ is an evolving and growing one in the security industry; but one thing is certain: it presents a huge opportunity for security integrators and their end user customers.
Call it analytics, big data, business intelligence, machine learning, AI, or something else — these terms are not interchangeable, but in today’s security landscape they are often used to mean approximately the same thing: the idea that you can take traditional security technology (video, access control, intrusion, etc.) and expand its use to benefit the business side of whatever customer you are applying it to.
Resideo Technologies Inc. has acquired Pittsburgh-based LifeWhere. The newly acquired company uses machine learning and analytics to predict potential failure on critical home appliances, such as water heaters, furnaces and air conditioners.