technology: Blockchain, machine learning: what your CV must have to make you shine in the world of technology

Rapid technological developments require professionals to upgrade their skills for tomorrow's technology-focused jobs.

Srikanth Vidapanakal, who has been in data for more than 18 years, has been curious to learn about new technologies. He made a Nanodegree, a self-guided automotive engineer, who helped him acquire advanced skills and led him to work in the automation industry. Srikanth is an example of lifelong learning in which to remain relevant to the age of rapidly changing technologies is the need for time.

In 2017 research has suggested that artificial intelligence and robotics could collectively collect more than 800 million jobs worldwide by 2030. On the flip side, he also mentioned that the technological revolution will end to create millions of new jobs. In order to remain relevant and keep their jobs in the changing global work landscape, technicians and professionals from different sectors will be required to improve. Keeping up with emerging technologies will keep you constantly up to date with the game.

Here are 5 skills that, if acquired, can keep you relevant in the global labor market in transformation of tomorrow:

Machine Learning: Machine Learning entered the technology arena as a turning point that allowed multifaceted software to become more knowledgeable in activities without the need to repeat programming. Machine Learning allows computers to read and interpret large data sets to derive essential information. This learning can be further applied to complex data models in order to create forecasts and compare trends for the future. Machine Learning can also allow algorithms to track data and identify weak links in any process or system, thus optimizing them to the highest level of productivity and efficiency.

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<p>  <strong> Deep Learning: </strong> Deep Learning is a part of Machine Learning that is based on Neural Architecture network: neural networks are extremely advanced programming codes that perfectly simulate the architecture of human brain neurons: through Deep Learning, software is able to identify and configure patterns from data or images much more effectively used to create more efficient Natural Language processors that can be used to write more responsive chatbots.
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<p>  <strong> Blockchain: </strong> Blockchain technology has evolved with the aim of adding data security and Privacy of cryptocurrency information Today, the robust mechanism has found applications in the protection of digital payments, smart contracts, IT security, copyright protection of digital IDs and data sharing. Thanks to the exceptionally versatile nature of blockchain applications, experts Blockchain technology is in demand in the labor market, with blockchain skills earning the 4th highest salary in India, making it one of the most sought after jobs by Indians and professionals around the world.
<p>  <strong> Robotics and automation: </strong> Both robotics and automation are substantially reducing human labor and the proliferation of human safety by assuming dangerous and physically demanding tasks. Robots can easily lift heavier weights and tolerate high-temperature work environments than human workers can do. Robotics has quickly reached the maximum potential among all other Artificial Intelligence applications. With Machine Learning in the heart of artificial intelligence, robots that have already surpassed humans on a physical level will also be able to undertake a series of laborious tasks such as warehousing and security.
<p>  <strong> Self-driving cars: </strong> For more than 100 years, motor vehicles have been an integral part of human existence. Since its inception, the vehicle has gone through a number of upgrades that have led to the invention of the modern and intrinsically safe vehicle. However, road accidents continued to cause loss of property and life. These fatal accidents can be attributed not to technology but to negligence or human error, leading to the need to replace the human driver. With cutting-edge robotics, machine learning and engineering, human beings have been able to create self-driving cars. These driverless vehicles seem to be exponentially more efficient to avoid collisions and accidents.
<p>  <em> (Ishan Gupta is MD India from Udacity, a Silicon Valley based lifelong learning platform) </em></p>
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