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No interviews for non-gazetted govt jobs: PM Modi in Mann Ki Baat

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New Delhi: There will be no more interviews for non-gazetted government posts for lower posts from 2016, Prime Minister Narendra Modi announced on Sunday.

Making the announcement Modi in his monthly radio programme ‘Mann Ki Baat’ sought to remind listeners about his Independence Day address, when he had said that interviews should be done away with for lower posts.

“The process is almost complete… There will be no interviews for non-gazetted government jobs for group D, C, and B,” Modi said, adding that “It will be implemented from January 1, 2016. We did not want to stop the ongoing process.”

Meanwhile, speaking on other issues in Mann Ki Baat Prime Minister Modi said diversity is the pride of India and the key to development.

PM Modi recalled Sardar Vallabhbhai Patel, whose birth anniversary falls on October 31, and said he made a huge contribution to India’s unity.

“He had a dream for a united India, and he succeeded in doing that geographically,” said Modi.

The prime minister, however, added that the the ‘mantra’ of unity should “constantly be a part of our thought, behaviour and expressions”.

“India is a diverse country, and this diversity is the pride of India… Peace, harmony and unity… these are the key to development,” he said.

(IANS)

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Here Are 5 Skills To Keep Yourself Relevant To Tech-Centric Jobs

Here are 5 skills that, if acquired, can keep you relevant in the transforming global job market of tomorrow

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Online training is the perfect medium to bridge the gap and realising what you can do and can make a career in.. Pixabay

Rapid developments in technology require professionals to upgrade their skills for technology-centered jobs of tomorrow

Srikanth Vidapanakal, who has been into data for more than 18 years, was inquisitive to learn about new technologies. He did a Self-Driving Car Engineer Nanodegree that helped him acquire advanced skills and landed him with a job in automation sector. Srikanth is an example of lifelong learning where staying relevant in the age of rapidly changing technologies is the need of the hour.

In 2017, research suggested that AI and robotics could collectively take over 800 million jobs worldwide by 2030. On the flipside, it also mentioned that the technological revolution will end up creating millions of new jobs. In order to stay relevant and keep their jobs in the changing global job landscape, technologists and professionals from diverse fields will be required to upskill themselves Keeping yourself abreast with emerging technologies will constantly keep you ahead of the game.

Technology
The mock killer robot was displayed in London in April 2013 during the launching of the Campaign to Stop Killer Robots, which calls for the ban of lethal robot weapons that would be able to select and attack targets without any human intervention. (VOA)

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

Machine Learning: Machine Learning entered the technological arena as a game-changer that enabled multifaceted software to become more competent at tasks without the need for repeated programming. Machine Learning allows computers to read and interpret large data sets to derive essential insights. This learning can further be applied to complex data models in order to create predictions and compare trends for the future. Machine Learning can also enable algorithms to track data and identify weak links in any process or system, thereby optimizing them to their highest level of productivity and efficiency.

Technology
hrough Deep Learning, software can identify and configure patterns from data.

 

Deep Learning: Deep Learning is a part of Machine Learning which is based on the Neural Network architecture. Neural networks are extremely advanced programming codes that seamlessly mimic the architecture of neurons of the human brain. Through Deep Learning, software can identify and configure patterns from data or images much more proficiently. By identifying patterns in data, Deep Learning can be utilized to create more efficient Natural Language processors that can be used to write more responsive chatbots.

Blockchain: Blockchain technology evolved with the purpose of appending data security and information privacy to cryptocurrency Bitcoin. Today, the robust mechanism has found applications in securing digital payments, smart contracts, cybersecurity, digital IDs copyright protection and data sharing. Given the exceptionally versatile nature of blockchain applications, blockchain technology experts are high in demand in the job market. Jobseekers with blockchain skills bag the 4th highest salaries in India which makes it one of the most sought after job by Indians and professionals around the world.

Technology
Blockchain Holds Promise Of Strengthening Financial Services Sector. pixabay

Robotics and Automation: Both robotics and automation are essentially reducing human labor and proliferating safety of humans by taking over dangerous, physically demanding tasks. Robots can easily lift heavier weights and tolerate high temperature working environments more than human workers possibly can. Robotics has quickly clocked in the highest potential among any other applications of Artificial Intelligence. With Machine Learning at the heart of AI, robots that already outperform humans at the physical level will also be able to undertake a variety of laborious tasks such warehousing and security.

Also Read: Early Self Regulation Skills Help An Individual to Maintain Their Health

Self-Driving Cars: For more than a 100 years, motor vehicles have been an integral part of human existence. Since its inception, the motor vehicle has gone through umpteen updates that have led to the invention of the modern and inherently secure vehicle. However, road accidents have continued to cause loss of property and life. These fatal accidents can be attributed not to technology but to human negligence or error, leading to the need for replacing the human driver. With cutting-edge robotics, Machine Learning, and engineering, humans have been able to create self-driving cars. These driverless vehicles are appearing to be exponentially more efficient at avoiding collisions and accidents. (IANS)