IT jobs: death by traditional employment, this is how AI and machine learning can revolutionize the segment – tech2.org

IT jobs: death by traditional employment, this is how AI and machine learning can revolutionize the segment



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  IT Jobs, Traditional Employment, IA, Indian IT Sector From driverless cars and automated recruitment processes to connected machines and voice badistants, these developments are rapidly increasing our productivity at home and at work .

Mayank Kumar, Apoorva Shankar

We have all heard and read enough-if we have not seen the impact on our daily lives-to discover that artificial intelligence and machine learning are changing the world as we know it. From driverless cars and automated recruitment processes to connected machines and voice badistants, these developments are rapidly driving our productivity at home and at work.
From the late 1990s to the early 2000s, empowered by the Indian middle clbad. The IT movement gave recognition to the country for identifying and taking advantage of a global opportunity simply by keeping up with industry trends. The sector employs almost 4 million people directly and indirectly. However, in recent times, the so-called Fourth Industrial Revolution has hit, leaving the database and new companies digitally enabled, young companies and traditional organizations rebooted.

So, where do all these new trends leave to Indian IT? ? Unfortunately, the sector has not been able to maintain itself this time. For example, although Bangalore is known as the center of all digital restarts, Karnataka's revenues from exports of electronic products, IT software and BT fell 65% in 2015-16 from 2014-15. Between 2015 and 2017, more than 30,000 employees have been laid off by giants such as Wipro, Infosys, TCS, L & T, IBM, Flipkart, eBay, etc. IT companies say that layoffs are part of the organization's technological transformations to keep up with changing business needs.

In the Indian IT industry, revenues from digital technology projects grow 7 times faster than traditional projects, and by 2020, both sectors together will generate $ 225 billion in revenue. This naturally also allows a transformation of traditional roles within IT. System administrators are becoming systems and network architects, web designers are more focused on the user experience, data center specialists now seek to specialize in information enablement, and once the project manager is now manager of product.

drivers who do not work and the automation of hiring can make redundant the work of some human resources professionals; however, we must be aware of the fact that when some "routine" work is automated with the use of machine learning and artificial intelligence technologies, the work of "knowledge" will continue to require human intervention. Even if technology can give us the answers, human beings will always be the ones who know what questions to ask. Dave Wright (CIO at ServiceNow) recently said in an interview that the biggest mistake was the loss of jobs due to new technologies: "Machine learning and AI do not take jobs, increase the skills of IT professionals"

The narrative of the fear of job loss has been repeated periodically over the years when industries are ready for change: the impact of power on textile workers, washing machines in professional hands – clothes washers, etc. . But more and more jobs were created since these technologies have created skills, which requires talent to manage them and free up time for knowledge work. This time, too, the sadness is overcoming optimism about the amount and types of opportunities that arise due to new technologies. Where traditional IT roles are facing extinction, new roles as data scientists, mobile application developers, compliance officers, social network architects, cloud integration specialists and many more are emerging.

However, these opportunities will only be really available to those who take charge of improving themselves for the races of tomorrow. It is not realistic to expect that the knowledge we obtain on educational campuses will remain consistent and relevant for years afterwards and at work. One must continue unlearning and relearning as they move forward to take advantage of new and future industry trends. Employers say that 65% of the IT workforce is not even re-trainable. It is not surprising that the fear factor about job losses is so high.

As mentioned above, there are many new roles that are being eliminated due to the increase of artificial intelligence and machine learning. Some of the structural changes that take place within companies and organizations in the future could also be related to the use of chatbots to facilitate communication between staff and administration, as well as between IT teams / companies and the client; and learning based on the type of problem. The roles of CIOs will increase with the appointment of the main heads of artificial intelligence, and data badysts will increasingly manage artificial intelligence, which will drive innovation and evolution for software developers due to a greater focus on data science. Other support functions such as RR will also be revolutionized. HH., Recruitment, administration and finance.

Some of these new buzzwords for a professional can be confusing. But that is not the intention: what is needed is to embrace these new skill areas. Artificial intelligence and machine learning, etc., are nothing more than interdisciplinary areas that combine management, statistics and information technology, increasing and improving what can be done with efficiencies that improve data and predictive elements.

Facing a faster and more agile work All over the world, it is necessary that the professionals who work be overcome to avoid redundancy: machine learning and artificial intelligence not only make us smarter in chess or replace the real life badistants, but they redefine industries and complete functions. Those who do not embrace and run on the wave, run the risk of being left behind.

Mayank Kumar is co-founder and CEO, UpGrad the provider of online education programs. Apoorva Shankar is the director of UpGrad Online Scholarship and director of Content Marketing at UpGrad

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