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The Emergence of Artificial Intelligence and Machine Learning in Contemporary Business Management

P. William, Aneesya Panicker, Ali Falah, Ahmed Hussain, Anurag Shrivastava, Akhilesh Kumar Khan

Year
2023
Citations
64

Abstract

The purpose of this article is to demonstrate the relevance of machine learning (ML) solutions to the management of modern corporate organizations by focusing on the improvement of decision-making processes and the roles that supervised and unsupervised learning. Deep learning is going to be the focus of the next digital frontier that will be opened up in the field of artificial intelligence (AI). According to the findings of the research, by the end of 2022, the two application software platforms used by India Merchant Bank would have a total of 114 million and 91.2643 million users, respectively. As compared to the previous year, the total amount of personal savings held by India Merchant Bank rose by around 53%., while the total amount of personal loans climbed by approximately 61%. According to these findings, it would seem that using AI solutions leads to increased levels of consumer happiness as well as trust among businesses. This investigation is going to concentrate on five different artificial intelligence (AI) technology systems: robotics, computer vision, autonomous cars, and machine learning. We take a look at the largest information technology companies in the world, who together spent almost $20 billion on AI Migration Rate in 2016. The acquisition of artificial intelligence was only allotted 10% of the available cash, with the other 90% going into research and development. In addition, tremendous progress has been made in the provision of grants, funds, and seed money for venture capital and private equity investments in Business management process.

Keywords

Computer scienceArtificial intelligenceBusiness intelligenceKnowledge managementData scienceCognitive sciencePsychology

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