In the current days, all the people are talking about and using machine learning & artificial intelligence in almost every domain. In fact, some people have a fear of the new automation processes. They believe that it will replace human programmers and developers.

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Automation is Only Helping Developers

The programmers are using machine learning and artificial intelligence as supporting elements for less cost and faster process of production. Automation is done to reduce the level of efforts and complexities during coding, and etc. AI in computer engineering helps in working quickly and effectively with comprehensive testing and fewer bugs

For example- spelling, plagiarism, and grammar checker tools are only used for finding and correcting the errors but, they have not taken away the job of editors and proofreaders.

Human Abilities and Non-Technical Skills cannot be Automated

Yes, this statement is 100% true! In today’s world of programming/engineering, the programmer needs to have empiricism and a rationalist spirit. AI can easily perform technical work but it does not have emotional intelligence. In the future, professionals will need to have detailed domain knowledge, understanding of data structures & algorithms, excellent soft skills, emotional acumen, and all non-technical/human skills essential to working with AI.

Artificial intelligence

AI or artificial intelligence is all about automated programming executed to solve new issues. The reason is programming relates to following defined rules and processes. OOP (object-oriented programming) enables event-driven processing. It allows the machine to create new applications using an extensive library of objects.

Will Machine Learning take Over the Computer Engineering Jobs in Coming Time?

The answer to this question is Big NO. Machine learning will never take over computer science (CS)/engineering jobs. Automation in the coming time will never put engineers out of the work. Only a few aspects of programming will be automated but it does not mean a lost job.

Computer engineering and automation (artificial intelligence) both have an existence and will be continued in the coming time as well. There are so many challenges in the real world that cannot be solved by machine learning. The human mind and expertise are essential to solving these problems.

Machine learning is not highly useful in determining the relevant data for problem-solving and finding ways to combine a working module and production system. For these two tasks, there is a requirement for human skills leading to the increasing importance of knowledgeable software engineers and data scientists. Hence, it is recommended to focus on developing and improving the professional skills needed to better use AI and machine learning in the future.

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