4 INDUSTRIES THAT ARE REMODELED BY ARTIFICIAL INTELLIGENCE



Soon, the world will be staring at the labor crisis that will be massive and will a colossal burden to be handled. It is estimated that the crisis will be pretty expensive and, overall globally, there will be a humongous demand for talented resources in Artificial Intelligence evidently by the next decade. And not surprisingly, the shortage of talent will affect the most developed economies. The losses will be more than 10 percent of the current global GDP.

However, all is not bad, because the AI technology has come a long way today. The brainchild of Alan Turing and John McCarthy, the pioneers who laid the foundation for the development of the technology. Presently, the technology has come out of the one-in-a-world laboratory to thousands of labs all over the globe. It is actively remodeling various industries by changing the way things are done that we wouldn’t have imagined before.

Why is Artificial Intelligence misunderstood often?

AI is one of the most misunderstood technology. Often, it is looked in comparison with natural intelligence and somehow misinterpreted that it could eventually evade human supervision and can dominate human beings. In addition, it is also thought to be a deal-breaker when it comes to keeping the employment rates healthy. However, it can’t further from the truth. According to research, it suggests that technology will only improve the GDP rates and bring up new employment opportunities.

With human supervision, we can exploit the technology for the benefit of these sectors. Let’s quickly take a look at how to do this to four top industries in quintessential ways.

  • Transportation

The evolution of machine learning and other technologies has led to the advent of smart transportation. Self-driving cars are something that is a lot talked about. There are significant developmental works are being carried to perfectly build a system of cars that can self-drive from a source to a destination without any hiccups and efficiently without causing any accidents and traffic violations mainly. Such methods can be applied to public transportation and reduce significant costs and traffic congestions.

  • Manufacturing


The AI-led systems have already made inroads into manufacturing which is a good thing. Industrial robots that can efficiently assemble and produce high-quality products is something we’re all familiar. However, the intelligent technology can change the manufacturing landscape by implementing smart robot to build electronics and create objects via 3-D printing technology; objects could be as large and essential as low-cost houses for all.

  • Healthcare

Most of the pharmaceutical and medical companies are relying on intelligent technology for numerous uses cases already. Johnson and Johnson’s Sedasys system is something that was developed to deliver anaesthesia to the patients for standard medical procedures like colonoscopy. There is a huge dearth of skilled medical professionals that can administer the right dosage of anaesthesia. IBM’s Watson is another example that can display higher accuracies in human diagnosis.

  • Customer Engagement

Today customer engagement is wholly a new ball game. It was once fully depended on human resources and was strictly time-bound. But with the huge AI-led approach, customer service and engagement are more streamlined and efficient than ever. Machine Learning capabilities of the system are proven to be extremely productive and efficient at the same time. Now, the customers can approach for service any time to the company and get their queries resolved. Similarly, no matter the customer’s location, brands can keep them engaged.

Ever since Artificial Intelligence came into the foray of the mass production, it has been nothing but bliss to both the companies and the customers. Although there are ups and downs, it is still part of the evolution process. And, the learning process is necessary to build a robust system that can learn from its actions and results and evolve to be a better performer. Tomorrow’s world is certainly different than what we have imagined today, nevertheless more efficient and better.

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