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In: Accounting

“Technology will actually democratize opportunity. When the new 5G network is implemented and the next billion...

“Technology will actually democratize opportunity. When the new 5G network is implemented and the next billion goes online, the opportunity will be in the hands of everyone with a good idea. It’ll be the age of betapreneurs, entrepreneurs who, enabled by technology, can rapidly test and scale ideas, and bring them to market.” What does it mean to “democratize opportunity”? “

Data detective/data broker ” is listed as the top “new job”. What are you doing to improve your data skills?

Do the machines substitute humans and taking the best job opportunities? Justify your answer.

Solutions

Expert Solution

According to me author is trying to tell that if 5G technology is implemented it will change the whole world scenario. With fastest internet there will be online boom where different entrepreneur, digital platform will get a chance to show their skills to the world and there will be opportunity for everyone to show their skills and express their views. Today technology has made the world smaller; people from around the globe are connected. With the latest technology 5G it will change the digital platform and it will help the people to participate in this technology world. These days everything is going digital from payment system to health care because of the Evolution of Technology.


With the Digitalization and technology upgration there are newer scope opening such as in the field of Fintech,Data analytics, Data Sceintist,Data Mining and there is great demand for data broker ,data detective or data analytics. To grab this opportunity one must need to improve your skills by the following ways are as follows:-

  • The 1st important things is that People should not stop learning new things ,they can enroll themselves for any data course which is available in free or any paid course . This course will help them to understand the basics of how data work. These courses are available in online mode or classroom course.
  • The 2nd important things if you get a chance to become a member of data science or development community ,enroll yourself because it’s the 2nd best way ,how you can get a view of practical knowledge by seeing or you can get a chance to use with the help of community members.
  • Try to read as much you can research articles ,academic paper,textbooks,and industry reports related to data skills this will enhance the skills and it will easy to grasp when you start working on data related projects.
  • Mentor plays an important life in a beginning when you try to learn new things. Try to find a mentor who has experiences in this industry or working with the industry. You can discuss your doubt and share your discussion with the mentors. It helps really a lot in initial phase.
  • Try to get an entry level data related job, no company will hire as an advance level data job even if you have certificate. Get an entry level job start learning the practical knowledge as a base, when you work initially you will be prompted to higher level data related job.
  • The main things above discussion I want to share we should not stop learning or close our brain, its continuous process and we should not be depressed even if it takes times, it’s a longer process, just we need to do continue process.

Yes I agree Machines are taking job of Human best job. With the introduction of AI (Artificial Intelligence) and machine learning, many jobs are becoming automated and it created job scarcity in the market.
I will like to one real life example, as I am working with one of the technology company, these company is highest automation company till now I have seen.
I work with one the company, this company deal with Hedge fund and here all the data are coming from USA, England, Ireland and its being transmitted to Asia for work. Initially we used to work in the excel but today with the automation many of the task are getting automated .For e.g. – we used to commented manually in our system but with AI these are doing automated or even we used to do reconciliation but about 80% of the work are done by machine. Only 20% which machine cannot read are doing by us. That also team of development is trying the solution. Yes machines are taking over job, so we need to constantly upgraded our skills and change our field where newer opportunity are coming


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