International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 6 Issue 6
November-December 2024
Indexing Partners
Evolving Business Systems in the Era of Machine Learning
Author(s) | Tarun Teja Reddy Palyam |
---|---|
Country | United States |
Abstract | This comprehensive article explores the transformative impact of machine learning (ML) on modern business systems across various industries. It examines the rapid growth of ML adoption, its key applications in areas such as insurance, fraud detection, and e-commerce, and the significant improvements in efficiency and decision-making it enables. The document also delves into the synergistic benefits of combining advanced modeling techniques like Kinray Weblink with Agile methodologies, and the crucial role of visualization tools such as Microsoft Visio in enhancing business process management. Through a wealth of statistical data and industry examples, this analysis demonstrates how ML and associated technologies fundamentally reshape business operations, drive innovation, and create substantial economic value. |
Keywords | Keywords: Machine Learning, Business Systems, Agile Methodology, Kinray Weblink Models, Microsoft Visio |
Field | Computer |
Published In | Volume 6, Issue 5, September-October 2024 |
Published On | 2024-10-25 |
Cite This | Evolving Business Systems in the Era of Machine Learning - Tarun Teja Reddy Palyam - IJFMR Volume 6, Issue 5, September-October 2024. DOI 10.36948/ijfmr.2024.v06i05.29016 |
DOI | https://doi.org/10.36948/ijfmr.2024.v06i05.29016 |
Short DOI | https://doi.org/g8pnp9 |
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E-ISSN 2582-2160
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