We spoke with Shamayun Miah, a Management Consultant and leading technology expert on automation, Robotics, Cloud and AI. That’s what Shamayun Miah said. If I were a recent college graduate, I couldn’t help but worry about automation and how artificial intelligence, ML, and robotics could dramatically affect my future.
The rapid digitization of the economy, encompassing almost all sectors, more than confirms these feelings. Before I delve into exactly how much new graduates should fear that automation will destroy their hopes and dreams, let me provide you with basic information about myself, Shamayun Miah. My experience is a benefit to this topic and has helped me to create a realistic view of automation.
Automated sectors in 2021
Economic automation is nothing new. Since the Industrial Revolution, the world has experienced the introduction of machines that have replaced the simple work done by humans. As memory programmable computer chips became widely used in American factories around the 1970s and 1980s, we began to see a significant shift. Today, countries like India are introducing what is known as the technology of the 4th Industrial Revolution, especially in the agricultural sector. The introduction of technology into India’s rural agricultural areas and factories has dramatically increased the country’s gross domestic product.
We are experiencing the 5th industrial revolution in the West with expanded availability of AI, big data, ML, advanced robotics and IoT technology. While adding technology to rural India offers rural communities’ incredible opportunities and lifts them out of poverty through the global competitiveness of agriculture and factories, the West is in a much different situation.
While some of the jobs they identify do not require a college degree, most mathematical technician jobs require at least a bachelor’s degree. Big data threatens any work in number analysis because AI and ML technologies are much more effective in finding patterns and solving technical problems than humans. However, these tasks are likely to be handled by data scientists working with advanced predictive software created with programming languages created with Python and SQL. In the case of mathematical technicians, the need for their expertise does not disappear; has a new look in addition to software that can process structured data better than the human brain.
The future of jobs
Looking at these numbers, they are alarming, especially if you have been working on your diploma for just four years to become a mathematics technician. For me, the data clearly indicates that our future includes working with AI, ML and robotics. Let us hope that the introduction of these new technologies will provide more opportunities than crowding out an economically devastating number of workers. I am not interested in mathematical techniques because they are skilled workers. They may have to learn Python to find a job, but their advanced math skills will help them find a place in the automated workforce of the future.
Prepare for the future
The fear of automation is a legitimate problem, especially for those who have decades of work ahead of them. Robots are here and many industries, such as banking and retail, can benefit greatly from AI, ML and big data implementations. I am optimistic about the future
by Shamayun Miah using open-source AI application
