A Study to Analyze and Explain the Impacts that Machine Learning has on Business Management to Speed Up Research & Development


  • Sukesh Verma Professor, Madhya Pradesh Bhoj Open University, Bhopal, Madhya Pradesh, India.


Artificial Intelligence, Machine Learning, SWOT Approach, Global Warming, STEM Career


Machine learning is a subfield of computer science that focuses on the development of artificially intelligent systems and tools. These systems and tools may automatically learn from their environment and build on their existing knowledge without being explicitly programmed to do so. It is well acknowledged that Machine Learning is one of the most dynamic disciplines in the present age and it is anticipated that it will blossom to an exalted degree in the next era of Digitalization. It is common knowledge that machine learning is being put to extensive use in many different industries, such as automobiles, genetics, medicine, finance, agriculture and education, amongst others, in order to automate procedures, reduce processing time, eliminate the possibility of human errors and analyze data on a massive scale, thereby assisting in the process of making decisions that are both quicker and more accurate without the need for human intervention.
The purpose of present research paper is to investigate and provide explanations for the multiplicity of impacts that Machine Learning has had and is having on our society in order to speed up the processes of research and development in convergence with refined and solid commercial acumen. As a game-changing technology, machine learning paves the way for social innovation by assisting users in making effective decisions, load sharing, sales prediction, weather forecasting, opinion mining and other similar activities. These activities are necessary in order to construct a society that is not only economically viable, but also eco-friendly and sustainable.


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