In the new era there are more computing devices in the globe than humans and we  have seen the evolution of computers starting from the time when there were only couple of computers serving the world, to more than one device serving each person on this earth today.

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One of key thing about the future of computer science (CS) is that it has keep itself expanding its wings with more & more processes being automated & from this graph of evolution have you ever tried to extrapolate the future trend of this branch of technology? The question is what would be the shape of roles in software development in future?

“This branch of science which had sprouted along with the birth of my generation seems to end by the end of our generation”, he said. “We will understand it in a broader sense, with n numbers of software developers involved in developing sophisticated software, we would soon reach a saturation point.

It is because the present trend of developing plug-and-play modules, which make the development process more flexible and easier than the process we had 10 years ago.” This means, from near future on-wards there would be a drastic fall in the requirement for the software developers to manually code the whole thing themselves. However, this wouldn’t stay for much longer. “With every software written in place in the field of IT, it would be a very big task to process such huge chunks of data being generated”, he explained.

Data Science

The latest technology called (Data science) would bring out a major breakthrough to fulfill the requirement of analyzing the data and all the current roles of software developers would be replaced by data analyst and data scientist roles. “The data being analyzed would help in taking decisions more accurately. The value of an organization or a product will be evaluated based on the accuracy of the decisions they make. A future employee would come to office, evaluates the data to be analyse from the information traffic, makes some calculations and predicts the output.

The, data from this outcome, in case of right prediction, would add up to the value of prediction & decision making capability. They will not have to write even a single piece of code, only have change the parameters has to be changed which is available on the screen with estimate on a user interface or UI which will be very similar in the stock market.

When asked whether quantum computing would take the lead in creating out new opportunities in computer science, he replied “It would at least take a decade, for Quantum Computing to make a significant impact in everyday life. Even, then it would be developed to be driven by data in contrast to today’s model of software driven computer.

Devices   

Devices would play very important role and it generates and transmitting this data. Real time operating systems would allow us to get the real time updates of each and every possible measurement and it will be a big opportunities for developing the devices which can communicate & act on real-time basis.  would soon replace today’s human intervention systems will soon replace to efficient energy monitoring and controlling systems. These computing systems will take the real-time decisions to eliminate the errors to the maximum possible extent.”

“In the future there will be only (Data science and Device related jobs in computing domain would prevail and all the intermediate jobs disappear due to automation in place and there are lots of opportunities available today for students to learn & improve their skills in these domains”.

“in new era of technology every new idea one have end up creating the core of idea very quickly as the core servers/glue logic and basic libraries are all available and it could caused some disruption for scale but the core remains same. What you will see now it might happen in next 5 years or so is a trend to use data and make business run. The top companies like Amazon and Flipkart may get hired more and more engineers for data analysis. 

The hope of data science on such a large scale problem restored confidence to apply to many such problems and if you see where device companies are investing is how to make life easy for end user be it voice, finger, eye movements and slowly you will see more senses will be added to them. we are in the initial stages of applying data inferences and the very soon we will see more advanced use cases. World will be very different in 2030.

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