Demand for the Emerging AI, Machine, Deep Learning and Big Data Analytics Skill for 21 st Century Jobs

This paper presents recent development, application and potentials of technologies like AI, Machine, Deep Learning and Big Data Analytics and ways in which big data can be leveraged to improve the efficiency and effectiveness of government. It describes the demand of skills for handling of massive and diverse sets of information that are gathered, processed


Introduction
Data generation is presently is light-years ahead compared to where it was a few years ago. With technological advances and use, huge digital information is now available that is beyond our imagination. It is widely accepted that Big data analytics has revolutionized digital transformation. It enables too quick and indepth analysis, facilitating faster accurate decisions resulting in right insight. In fact, technological advances in data management have helped in timely capture of the informational value of big data. As a result, a wide adoption of analytics has happened that were not economically viable for large-scale applications before the big data era. Importantly, Pet bytes of raw data provide lot of clues for health care services through right use. Data is considered as gold in digital economy era. It is needless to mention that today analytics skills are extremely in high demand. A wide gap has been created in demand and supply of analysts throughout the globe particularly in western countries. According to the experts in the field knowledge of data analytics is essential for this next generation job aspirants. Now we are in the age of data. Everybody talks about big data across all the fields of science and technology.
Even Big data analytics is attempted in the non-conventional areas.
It is considered as a "the next big thing" will be. Now a day's data is Are we ready to embrace Big Data? It is time to think whether we are capable to make use of big data's potential? Of course, success will obviously require new skills and new perspectives particularly for potentially disruptive business models [2]. New development in the areas of big data expands the suitable space for development of algorithms, AI and machine-mediated analysis.
Companies that exploit the data are the ones turning data into gold.
With the right aptitude in analyzing IoT data, one can make internal business changes to turn data into revenue by marketing insights which are in high demand [3]. Knowledge and Skill Requirement: Data without domain knowledge are just facts and numbers.
Curiosity and passion are essential data analysts. One must accept that presently data is available, but knowledge is not only scarce but expensive too. Therefore, the lies the demand for Data Scientists with the skill and the mind-set to apply Big Data technologies in right perspective.

Application in Science and Technology
In the last five years, more scientific data has been generated

Job Prospect
According to the survey report, repetitive jobs are most likely to be taken over by Artificial Intelligence (AI) in future like BPO, manual testing, system maintenance and infrastructure management etc. A survey reveals that Big Data and Data Science, Big Data Architect,

Big Data Engineer, Artificial Intelligence and IoT Architect, and
Cloud Architect as the job will be high in demand in the near future.
The demand for people with the deep analytical skills in big data including machine learning and advanced statistical analysis are very high.. As many as 140,000 to 190,000 additional specialists may be required in addition to 1.5 million managers and analysts with knowledge and understanding of application of big data in real data life. Companies may take care of their recruitment and retention programs, along with training of key data personnel. The greater access to personal information that big data often demands will place a spotlight on another tension, between privacy and convenience. According to Peter Fader "The real beauty of analytics is not just collecting a lot of data, but it's finding out ways to do it in a systematic manner". According to the survey report, the jobs that are in the jeopardy of getting extinct are the ones that have become repetitive and are most likely to be taken over by Artificial Intelligence (AI) in next five years or so. These include job profiles such as BPO, manual testing, system maintenance and infrastructure management etc. The greater access to personal information that big data often demands will place a spotlight on another tension, between privacy and convenience.

Conclusion
As per latest estimate, a reported 3.2 billion Internet users and over 4.6 billion of mobile phones users are regularly generating huge data through communication [7] and the number is increasing day by day. Within these data lies a lot of valuable information. Now it is the job of data scientists and analysts to extract knowledge out of the same. Here lies the demand for skilled manpower to execute the task using right tools and techniques for analytical insights.
Literature on tools and techniques for handling these areas are covered [8]. Utmost care is needed towards data privacy issue as well.