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Use of Machine Learning for Continuous Improvement and Handling Multi-Dimensional Data in Service Sector

DOI: 10.36647/CIML/03.02.A006, PP. 30-35

Keywords: Machine learning, secondary data resources, AI, Service sectors

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Abstract:

Machine learning is known as a significant pattern of AI that gives an effective allowance to the software applications to become precise at forecasting outcomes without explicitly programmed in doing that. In addition, machine learning is important as this gives service sectors a suitable view of trends in “business operational patterns” and consumer behaviors. Service sectors are mainly known as the healthcare sectors, tourism sectors, and transportation sectors. In several developed countries, AI is maximizing labor productivity by more than 30% in the coming 15 years. The requirement of showing the usage of machine learning and the way it handles the multi-dimensional data have also been shown in this entire work.

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