{"id":2251,"date":"2020-02-11T03:07:15","date_gmt":"2020-02-11T00:07:15","guid":{"rendered":"http:\/\/kusuaks7\/?p=1856"},"modified":"2024-01-11T18:14:26","modified_gmt":"2024-01-11T18:14:26","slug":"spectrums-of-work-automation-the-future-is-here","status":"publish","type":"post","link":"https:\/\/www.experfy.com\/blog\/ai-ml\/spectrums-of-work-automation-the-future-is-here\/","title":{"rendered":"Spectrums Of Work Automation: The Future Is Here \u2026"},"content":{"rendered":"\t\t
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\n\t\t\t\t\t\t\t\t\tThere are many predictions that attempt to capture how many jobs will be lost due to digitization and automation. As an example, a recent study by\u00a0McKinsey\u00a0<\/a>indicated automation threatens 800 million jobs and a 1\/3rd of\u00a0workers in the US and Germany<\/a>\u00a0need to learn new skills by 2030. There are similar studies from the\u00a0World Economic Forum<\/a>\u00a0\u2013 also emphasizing reskilling – and\u00a0others<\/a>.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\t\nThese are interesting. There are helpful observations, cautions as well as recommendations to be prepared in different industries as well as regions. But often these types of surveys and predictions are na\u00efve and simplistic in the characterization of work as well as categories of workers: be they white or blue collar. The spectrum of digital transformation as well as cultural transformations are often ignored.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Robots and Robotic Automation<\/h2><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tIn various industries or even in our homes or offices,\u00a0robots\u00a0<\/a>come in all shapes and sizes, from heavy robotic arms on a shop floor to greeting robots in retail stores, restaurants, or hotels.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tRobots are also appearing through\u00a0systems\u00a0<\/em>of connected and increasingly intelligent devices. For instance a self-driving connected vehicle is a robot: but it involves multiple smaller robots or intelligent connect sensors and actuators. This aggregate of devices, smaller robots, and intelligent sensors need to all\u00a0orchestrate\u00a0<\/em>and collaborate to achieve the objectives of the larger aggregate robot: the connected vehicle. In fact we can extrapolate from this to other even larger robots: such as a manufacturing shop floor, an intelligent building, or a connected city.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tMore interestingly, we can also have\u00a0software\u00a0<\/em>robots. Repetitive tasks on, say, desktops can be automated through robotic software \u2013 saving considerable amount of time and avoiding potential human errors. Thus the era of\u00a0robotics \u00ad<\/em>\u2013 be they physical robots or\u00a0robotic automation<\/em><\/a>\u00a0<\/em>in software is making a huge impact on process efficiency. Thus instead of humans copying information between various screens, or traversing a plethora of legacy applications a software robot instead automatically achieves the same repetitive tasks: much faster and with fewer errors.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\t\nThis brings us to the crux of Work automation \u2013 viewing it as a spectrum of work types and a spectrum of worker categories.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Work Types and Worker Categories<\/strong><\/h2><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tWhen it comes to Automation, there is a spectrum of work and worker categories.\n