Technology Magazine May 2018 | Page 59

ARTIFICIAL INTELLIGENCE

we may be using multiple modes from speech and touch to gesture , and other forms and combinations of those to get our work done .
“ One of the reasons that Microsoft has developed HoloLens because it believes that worker productivity doesn ’ t necessarily have to happen in front of a desktop or a laptop ,” adds Amyx . “ HoloLens ’ aspiration is to be able to become the new computer interface , where it frees you from having to sit down . You can pretty much walk about ... you could be in a conference , and everyone wearing that effectively has a huge field of view to be able to do just about anything .
“ Some of the examples of these cases are things that are oriented around healthcare , surgeries , or even education and information , so you ’ re actually able to bring a part of anatomy , live in a 3D dimensional vector , where people can walk around and almost feel like you can touch it . You have other trends like shared economy , where people are choosing not to own cars or own homes . Then you have retail disruptions , you have laundry lists of dozens if not hundreds of retail companies that are going bankrupt and closing stores . When you factor all of these things in , it means that the very context of cities and work and commuting changes dramatically .
So , what does the future workplace look like ? Will there even be a workplace at all ?
“ In the future we may not have to go into a physical workplace ,” Amyx says . “ And when we have things like mixed reality and like augmented reality and other aspects , it means that even if I ’ m in the most remote area going for a walk , I can still be productive , I can still be connected if I so chose .
“ It means that when you think about a factory floor , which are starting to become more hyper-automated , you don ’ t need to have people having to reactively maintain and fix problems , because AI systems are going to gather data from these IoT sensors or nodes in the system , predict potential failure points , predict inefficiencies and so forth , and proactively send technicians or even robots themselves to fix those problems , so that you don ’ t have downtimes or loss in productivity . So it is very much disruptive , and the kind of implications we ’ re talking about are significant .”
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