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AI Domination in Security Discourse to Continue in 2020

AI Domination in Security Discourse to Continue in 2020

Submitted by s.karimi on Wed, 01/08/2020 - 15:55

Needless to say, artificial intelligence has evolved from mere hype to more of a reality, with machine learning- and deep learning-based algorithms increasingly used in security. And from what it looks now, interest and enthusiasm towards AI show no signs of dying down and are likely to continue into next year.

 

Only a buzzword a few years ago, AI has generated much attention as more and more users have realized its benefits, in both security and non-security applications, across vertical markets.

 

In retail, for example, AI-based video analytics can not only help reduce losses and shrinkage by detecting abnormal behavior exhibited by staff or customers, but also help increase revenue, business efficiency and customer loyalty for retailers who are faced with strong competition on their online counterparts. Manufacturers, meanwhile, can leverage AI in machine vision, which can detect defects right away and presents itself as a more ideal solution compared to human labor.

 

In healthcare, AI-based solutions can detect abnormalities in diagnosis-related video, helping doctors detect early stages of cancer, for example. In transportation, AI can play a significant role in helping the vehicle sense pedestrians, incoming vehicles or other obstructions, thus helping with autonomous vehicle development.

 

For last five years at least, AI has been a buzzword. Its application and use in various industries are evolving. Companies are exploring approaches that will allow them to leverage data, generated by existing video surveillance to improve three general areas: increase yields, reduce costs and improve competitiveness by integrating intelligence into the products themselves. The actual range of possible use cases is limited only by level of understanding of company’s business processes and available data. According to some estimates, in terms of improving business efficiency proper use of existing video assets bring from 1 to 10 percent of cost savings.

 

 

  • A top trend to watch for in 2020

 

In fact, AI has become such a popular topic that various polls have listed it as a top trend to watch for in security next year.

 

Meanwhile, according to the Security Industry Association (SIA)’s top 10 megatrends for 2020 list, AI ranks No. 2, jumping from No. 5 on the previous year’s list. It’s followed by facial recognition, which takes the No. 3 position. The findings are based on fall 2019 focus group and survey data gathered from security industry business leaders and association leadership.

 

SIA forecasts that the trends of artificial intelligence and facial recognition will dramatically impact the industry in coming years. Both AI and facial recognition are experiencing clear technology advancements, and SIA will continue to track the industry and consumer tech adoption rates and emerging applications for these dynamic Security Megatrends.

 

Meanwhile, SIA again lists as No. 1 the topic of cybersecurity, which in many ways is related to AI. With the huge amounts of data systems need to train and infer, how to ensure the integrity of data has become a major topic. Further, incidents of hackers intruding into connected security devices as well as into the end user entity’s network through these devices have also raised user awareness on cybersecurity, forcing them to adopt related measures.

 

Cybersecurity resoundingly tops the list of Security Megatrends again for 2020. With the increased risk and frequency of cyberattacks, today’s systems integrators and product developers are working to make sure that security solutions meet or exceed an organization’s cyber-preparedness standards.

 

 

Source: a&s Magazine

برچسب‌ها: 
AI, face recognition, Facial Recognition, cybersecurity, Deep Learning, Machine Learning, Security, Security system, Smart Solutions, Analytics, Video Analytics, video content analysis, Artificial Intelligence, Intelligent Solutions, Autonomous Cars, Autonomous Vehicles, Retail Surveillance
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