Artificial intelligence is a hot topic these days. Headlines are used every day to headline its use in everything from drug discovery to the integration of voice-activated virtual assistants in the workplace. There is no concern with these headlines that this technology is on the verge of displacing millions of workers.

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While the possibility of being replaced by a machine is based on history – according to the Bureau of Labor Statistics, there are 7.5 million fewer manufacturing jobs in the US today than in 1980, and automation (along with China) is often blamed – the reality That is, AI is being introduced to bring it into the workplace and help existing employees do their work better, not replace them. Range The reason for this can be very straightforward: it is just as impressive as (self-driving cars or Google’s DeepMind Being Human Go Champion) technology just not capable of doing what humans can do.

at least not yet.

According to Deloitte’s 2019 Global Human Capital Trends report, while 41% of respondents said they were using “large-scale” automation in many areas of their organizations, only 38% of respondents said they would use technologies like AI We hope to eliminate jobs in the next organizations. three years. And only 13% believe the number will be significant. This is down from previous years.

The Brookings Institute’s January 2019 report, Automation and Artificial Intelligence: How Machines Are Influencing People and Places, tells how things will become more complex as time progresses. Nevertheless, approximately 25% of the working population are at high risk of being replaced by AI-driven automation. They list office administration, production (stating what type of production), transportation and food preparation are some of the most vulnerable occupations.

“Previously, technologists issued dystopian alarms about the power of automation and artificial intelligence (AI) to destroy jobs,” the author writes. “Then came an improvement, with a wave of reassurance. Now, the discourse makes more complex sense, suggesting that automation will bring neither apocalypse nor utopia, but instead the benefits and tensions are both the same. It’s vague and Sometimes is. Aside from the nature of the discussion of ‘future of work’. “

Bina Ammanath, AI managing director at Deloitte Consulting, said, but, for now, the technology is not mature enough for widespread employment displacement.

“The best way to think about it,” he said. “If it takes less than 30 seconds for them to use their brain power to perform a task, then it is most likely that it is either already automated, or it will be in the near future with AI and machine learning Is going to be automated. In most cases. Where we are with AI, in a way, it is actually enabling humans to extract some mundane and boring tasks from their daily tasks. “

The analysis of Eman’s abilities has not changed much over the years. What has changed is its spread. Human resources (HR), for example, is an early adopter of technology. They are using AI to help reduce the burden of everything from installing new employees with computers and desk space to designing and resuming employees’ career advancement strategies.

Jobs are safe for now
None of these functions is supporting existing employees. The purpose of these decision-support applications, as they are called, is to relieve the human resource personnel of the worldly, performing time-consuming tasks at first, while secondly to spot good candidates for open positions Enhancing capabilities. This frees people to actually perform intellectually challenging activities such as decision making.

“At least what I am seeing right now is really machines making decisions or recommendations,” said Greg Leoc, managing director of Chicago Technology Digital Product and Managing Consulting West-Monroe. “But, still, humans are involved in making the final call.”

This type of decision support has been integrated into customer resource management (CRM) systems for some time. In those instances the AI ​​helps customer service representatives (CSRs) by recommending next-best-offers and / or next-best-action that can be used to solve customer problems.

Another area that is attracting attention from AI is robotic process automation, where AI is pushing rule-based automation to make rule-based process automation more useful and responsive to different situations. West-Monroe calls this intelligent process automation.


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