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

Abstract

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 generated in higher quantities from various field and analyzed at a faster and with higher accuracy that we could not have thought of a few years ago. Researchers adding every day, new tool to extract raw data into valuable insight enabling solutions to the critical problems. The application of big data is enormous in all spheres of scientific investigation. Technologies coupled with and internet of things produces huge data globally. Innovative technologies have added capacity to generate, store, and analyze data from different sources for a various application. Some 2.5 quintillion bytes of data are produced every day, and approximately 90 percent of existing data was produced in the last two years alone [1]. These data are the potential sources for innovative research.