Innovation is shaking the very foundation of the human race. Thousands of years ago, human clans were distinguished as hunters and gatherers. Today, they are classed as workers and supervisors. In the coming years, the whole race of workers would be wiped out. But, by whom?
By robots…
The AI ML branch to control robots and make them smarter is only in its infancy. The large part of action still plays out involving the human workforce. If you are training with the Online Analytics course, there is 100% chance that you would not lose out to a robot at your workplace.
You should cope with—
These three specializations in online analytics courses apply to various departments in the organization. Of these, Predictive Analytics is the most complex as it is designed using a mix of mathematics, big data logic, ML algorithms, and programming skills.
Easiest would be Cloud Analytics, especially if you are planning to move to Cloud-based Company where you can work with tons of Hybrid IT architecture, Data Storage and Metadata management platforms. For Business Analytics, you can choose any industry. It applies to all. That’s where your analytical skills would help to sustain careers in a touch environment.
Not really. Today’s robotic generation is only doing the heavy lifting for humans.
Orange robots, flipping robots, car-driving robots, diving robots… these robots can do anything and everything that the humans can, and more.
On top of it, they can fit into a box, start working any time of the day, need nothing more than an hour of electric charge, and can complete the task at a pace of lightning. If you go to an Amazon warehouse, you would find thousands of robots placed on conveyor belts, sorting thousands of packages in one hour. They don’t talk, don’t fall or quarrel. All they do the whole day is sort packages, wrap them to conveyor belts and dispatch to delivery units for next steps.
Humans would be up-skilled to perform complex, creative tasks that robots can’t be trained to do – or, sadly, they would be left to hunt other pastures where skill aren’t necessary to retain jobs.
In 8 out of 10 automation based manufacturing units; the Robots have taken over 75% of the jobs that workers used to do. Supervisors still remain. What do they do? These supervisors are entrusted with training and managing these robots, not humans.
In the light of things happening in the manufacturing sector, robots may have taken over three-fourths of the workforce, but the 25% still remains. This one-quarter of the human workforce is optimistic about competing with the robots and salvaging the pride of the human race. Not only is this highly skilled workforce delivering sustained levels of productivity but also striving for supervisor roles that would control the next generation of robots at the workplace.
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