siliconindia | | September 201819One must know not only how to write a code, but understand the problem the code solves and the way in which users apply the solutionthe world, less than 15 of Indian Institutes are featured among the top 1000 colleges/universities of the world. Our `not so evolved' curriculum is one of the vital reasons for this. There is also a basic lack of reinforcement to-wards basic or applied research at an undergraduate level unlike the western counterparts. As a result, the culture of curiosity and interest is lacking in the current undergrad-uates who are unable to clear professional assessments.In the field of emerging technologies, a basic under-standing of the current trends is to be imparted to stu-dents of all backgrounds. With the pervasive advent of technology in almost every field, subjects like Artificial Intelligence, Analytics, Cloud Computing, AR, VR, IoT and many others have become essential to everyone re-gardless of their specializations. Improved Industry-Academia Collabora-tion Could Benefit All StakeholdersIn today's world, academic training is not sufficient. To become job ready from day one, students should also be imparted with professional training. Such training is done through collaborations with industry partners who would be best equipped to train students on the necessary skills for the job. However, such collaborations are rare in India and are mostly facilitated by premier institutes. Globally, there have been various such collaborations which have helped in upskilling the emerging workforce.Employees Need to Define Their Own FutureToday, employees who exhibit themselves as having an interest in investing in themselves and having a learn-ability quotient are preferred by employers. Learnability quotient is a term that signifies creating a learning path for yourself leading to a desired goal. It is more than just getting multiple degrees or certifications. It is evidence that you are a continuous learner and have the ability to adapt to the need for the hour.The idea is to stay updated with trending skills that are in line with your core profession. For example, a cod-er needs to know skills like Data Science tools, Mobile tools, Machine Learning, DevOps and Cybersecurity to stay relevant. However, staying updated with skills is not sufficient. One must learn to develop certain traits as well, such as analytical and critical thinking and problem solv-ing. A coder must learn how to make the code bullet-proof and test it at the same time across various digital plat-forms. Therefore, one must know not only how to write a code, but understand the problem the code solves and the way in which users apply the solution.The aim is to reach the Triad, which reflects multiple technical skills along with soft skills, domain knowledge and very importantly the new horizontal, which represents cognitive and problem-solving skills. This will ensure that you have something new to offer your company as business solutions.In the above image, T represents the vertical de-notes presence of a single technical skill and a limited range of soft skills are represented by the horizontal. The Pi () represents a professional with multiple technolog-ical skills coupled with a horizontal expansion of soft skills, while the verticals in the Triad ( ) indicate a pro-fessional with domain skills, technological skills, and soft skills and the horizontal in the Triad is the cognitive/de-sign thinking skill, which provides solutions to real-life problems. The flexibility in the Triad model enables both individuals and organizations to define their learning paths across all the vertical and horizontal lines.It's all about having the right decision-making and problem-solving skills to solve real-life problems. While automation may be taking-over jobs, it will only impact those jobs that are repetitive in nature. Problem and solu-tion statements still require human intervention. There-fore, humans need to learn to upgrade to higher skills which is still a few years off for machines.
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