Security Dealer & Integrator

SEP 2018

Find news and information for the executive corporate security director, CSO, facility manager and assets protection manager on issues of policy, products, incidents, risk management, threat assessments and preparedness.

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34 Security Dealer & Integrator / September 2018 provided by better com- puter chips and more sophisticated algorithms. When I went to uni- versity, I had friends who were researchers in AI and who talked about it as the next big thing. at was back in 1988. I also had a colleague send me an Economist article recently, which wrote excitingly about AI and its impact as the next big thing – the arti- cle had been published in Oct. 1995. It is hard to avoid reading about self-driving cars, and while they are definitely equipped with great self-driving capabilities – pow- ered by AI – as compared to the cars of yesteryear, the question remains: When will we see a society where most cars are self-driving (which would be lovely for all of us with long com- mutes)? Next year? In 10 years? In our lifetime? It is difficult to say for sure. e "old technology" that AI has set out to replace is something we all have: some kind of function performed by the human brain. e question is when technology becomes capable of fully replacing a certain task or function – that depends on the accuracy required. Case in point: With the impact of social media, Facebook is working dil- igently to clean up fake news, hatred, etc., and the company needs to sort through and examine all text that is posted every single day. While text is quite easy to parse through – and you would think that there should be some automated AI algorithms to do it – the solution Facebook took was to employ thousands of people to parse text manually to ensure the appropri- ate accuracy. us, there are still many relatively simple tasks AI cannot fully perform, even within a technologically sophisticated company. What does this all mean for the security industry? For starters, we are undoubtedly in the midst of another analytics and AI hype cycle, seizing on the general AI megatrend. e aim of AI in security is to augment human operators to increase safety and efficiencies, which makes sense, as more than 90 percent of security resources are still spent on humans, according to ASIS research. e last time we had this hype was about 10 years ago, when hundreds of millions of dollars went into funding new analytics startups – few of which remain in existence today. As refer- enced, there was also a general AI hype in the mid-1990s, so it seems to come back around every 10 years. Naturally, there is a high level of excitement this time around, and it would be tremendous if AI actually works out. And like with every other hype, nobody wants to be le standing on the sidelines or be a naysayer. is is similar to the way hype is greeted in the stock market – people buy into the hype cycle because they do not want to miss out on a potentially lucrative opportunity while others are taking advantage of it. Sometimes it works out and sometimes it does not, which is true of any hype. The Difference in 2018 Unlike what the security industry – the video surveillance market in par- ticular – saw with the last big video Video Surveillance We are undoubtedly in the midst of another analytics and AI hype cycle, seizing on the general AI megatrend... and like with every other hype, nobody wants to be left standing on the sidelines or be a naysayer. Attendees at the upcoming GSX show will undoubtedly see and hear the effects of the current industry hype cycle concerning Artificial Intelligence. Photo: ASIS Intl.

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