Aspiring Minds’ new study “Automata National Programming Report’, conducted across 500+ colleges and exclusively shared with Dataquest, claims that over 2/3rd couldn’t even write code and hence 95% engineers are not employable
In the backdrop of the slow business and automation challenge, IT services and BPO companies are finding it difficult to keep their existing workforce intact. Thousands of IT professionals are standing on the verge of losing their jobs. It was recently confirmed by a research done by a US-based firm HfS Research which said that India’s IT services industry will lose 6.4 lakh jobs in next five years. It is a whopping number! If these many people are rendered jobless, the foundations of the Indian IT would be terribly shaken. India will lose the chance to stand as a significant player in the global IT market.
For years, Indian IT has focused on all sorts of jobs including the ‘low-skilled.’ Many of the professionals neither have the skills nor the inclination to meet the demands for new-age skills such as artificial intelligence, big data, IoT, robotics, and more.
REALIZING THE PROBLEM
How can IT industry counter this challenge? What are the ways to put people into the newer roles without handing them the pink slips? But the biggest step towards solving any problem lies in realizing that there is a problem. The problem does not alone lie with the IT companies. Institutions and engineering colleges imparting IT education or B-Tech in computer science are equal partner in the hearsay. IT professionals are the by-product of the education given by colleges and the demand of the IT companies. It has surfaced in a new study ‘Automata National Programming Report’ conducted by Aspiring Minds. The study underlines that “in an ecosystem with a huge IT industry as backdrop and aspirations in Data Science, Artificial Intelligence and Machine Learning, over 95% engineers in India have been found unemployable for software development jobs.”
This story is from the April 2017 edition of DataQuest.
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This story is from the April 2017 edition of DataQuest.
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