We are really close to start working with Artificial Intelligence as if it was just another teammate, but what does this mean for our jobs?
The answer to this question is not what many think, digital revolution does not really destroy jobs, and actually it transforms them.
Artificial Intelligence is on its way. And although it arrival generates multiple benefits, it also brings concerns, many thinking it destroy jobs.
But experts have an approach explanation: While true that all forms of technology seek to replace labor and make production processes more agile and efficient. It is also true that history is full of examples where technology and machines have replaced manpower
However, faced with this phenomenon, the human being has had to specialize. The question is: what happened at the time when machines were invented to replace labor?
The answer is clear: human had to focus themselves to create machines because machines do not make themselves.
Well, the same happens today. If robots and Artificial Intelligence are to replace several of our jobs, the remaining occupation of the humans is to dedicate themselves to making robots. In other words, technology, rather than replacing jobs, is transforming and specialized. Leading people to train and develop new skills.
An article written by expert Joe Baguley, VP of Technology for Latin America of the multinational software producer VMware, points out that when it comes to technology destroying jobs, it is possibly referring to a number increase of robots or solutions.
Those who are against AI, claim that it could cause unempoyment in demographics where lower levels of education and fewer opportunities take place, leading them to change careers or find alternative work. It is true that machines have been used in some cases to reduce the number of personnel, he adds
The expert also points out that AI can make decisions faster than any human could. Asking if it is unfair to waste these skills only on low-skilled tasks ?
Baguley also asks…why is emotion a relevant in business? He adds that the main reason for using computers or machinery, dating back to the industrial revolution, is the desire to get things done faster. That is, going beyond what humans (who sleep, eat, and go to the bathroom) can physically handle. One of the side effects of technology is lack of personal touch, the human connection.
The previous point has to do with the clamor of people about need to humanize technology, making it improve people life quality, instead of affecting it. It is useless for a society to be technologically advanced if its people are unemployed, like someone who has a car but does not have the money to fuel it.
AI gives organizations the ability to bring that human connection into their customer experience. Being able to act quickly and decisively, but with emotion, with empathy, allows for a more immersive and uniquely human experience. AI can analyze, make decisions, and then let the human convey that decision in their most appropriate way. That could be an operator in the contact center empowered by the AI to make adjustments to a customer’s account in real time
IBM Launches 7np chip for AI WorkLoads
Power10 turns into direct competitor to Intel’s 7nm chip for AI workloads.
The chip is the first ever released by IBM to use a 7nm process and will be manufactured by Samsung Electronics. IBM promises to triple the workload capacity, compared to Power9, and multiply the speed and efficiency in terms of AI computing power by 20 (in certain contexts).
IBM emphasizes that Power10 is optimized for Red Hat OpenShift, for the enterprise hybrid cloud.
Designed to be a platform delivey that meets the unique needs of enerprise hybrid cloud computing, the IBM Power10 processor uses a design focused energy efficiency, workload capacity and container density than its predecessor IBM Power9
The company writes in a statement, adding that the processor has been designed over five years and has led to hundreds of new patents and others that are pending resolution. With that, Power10 is a major evolution on IBM’s roadmap and chip-powered systems are expected to be available in 2021 second half.