Artificial Intelligence: Revolutionizing Business Intelligence
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Abstract
Artificial Intelligence (AI) is revolutionizing Business Intelligence (BI) by transforming data analysis and decision-making processes. This abstract highlights the impact of AI on BI and its ability to revolutionize business operations. AI technologies, including machine learning and data mining, enable organizations to extract valuable insights from large datasets. By automating data analysis and uncovering hidden patterns, AI empowers businesses to anticipate trends, identify opportunities, and mitigate risks. The benefits of AI in BI are numerous. It improves data accuracy, speeds up analysis, enhances decision-making, and delivers personalized customer experiences. By analyzing customer data, AI algorithms identify preferences and behavior patterns, enabling tailored recommendations and targeted marketing campaigns. While AI revolutionizes BI, challenges such as data privacy and ethical considerations need to be addressed. In conclusion, AI is revolutionizing BI by automating data analysis, providing real-time insights, and enabling predictive capabilities. By examining the convergence of AI and BI, this outline aims to provide a comprehensive understanding of how AI is revolutionizing the field of business intelligence, paving the way for data-driven decision-making and strategic innovation. Organizations that embrace AI in BI gain a competitive advantage, drive innovation, and make data-driven decisions. The continued advancement of AI will shape the future of business analytics and decision-making.
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References
[2] Bharadiya , J. P., Tzenios, N. T., & Reddy , M. (2023). Forecasting of Crop Yield using Remote Sensing Data, Agrarian Factors and Machine Learning Approaches. Journal of Engineering Research and Reports, 24(12), 29–44. https://doi.org/10.9734/jerr/2023/v24i12858
[3] Ghimire, A., Thapa, S., Jha, A. K., Adhikari, S., & Kumar, A. (2020, October). Accelerating business growth with big data and artificial intelligence. In 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud)(I-SMAC) (pp. 441-448). IEEE.
[4] Nallamothu, P. T., & Bharadiya, J. P. (2023). Artificial Intelligence in Orthopedics: A Concise Review. Asian Journal of Orthopaedic Research, 9(1), 17–27. Retrieved from https://journalajorr.com/index.php/AJORR/article/view/164
[5] Mahalakshmi, V., Kulkarni, N., Kumar, K. P., Kumar, K. S., Sree, D. N., & Durga, S. (2022). The Role of implementing Artificial Intelligence and Machine Learning Technologies in the financial services Industry for creating Competitive Intelligence. Materials Today: Proceedings, 56, 2252-2255.
[6] Sun, Z. (2021). An Introduction to Intelligent Business Analytics. PNG UoT BAIS, 6(2), 1-6.
[7] Sun, Z., & Stranieri, A. (2021). The nature of intelligent analytics. In Intelligent analytics with advanced multi-industry applications (pp. 1-21). IGI Global.
[8] Jingar, P., Singh, A., & Gupta, S. (2022). Artificial Intelligence: Revolutionizing India Byte by Byte. Impact of Artificial Intelligence on Organizational Transformation, 165-182.
[9] Jasmin Praful Bharadiya, The Future of Cybersecurity: How artificial Intelligence Will Transform the Industry.
[10] Kaur, N., Mahajan, N., Singh, V., & Gupta, A. (2023, February). Artificial Intelligence Revolutionizing The Restaurant Industry-Analyzing Customer Experience Through Data Mining and Thematic Content Analysis. In 2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM) (pp. 1-5). IEEE.
[11] Jasmin Praful Bharadiya. Artificial Intelligence and the Future of Web 3.0: Opportunities and Challenges Ahead.
[12] Nabila, E. A., Santoso, S., Muhtadi, Y., & Tjahjono, B. (2021). Artificial intelligence robots and revolutionizing society in terms of technology, innovation, work and power. IAIC Transactions on Sustainable Digital Innovation (ITSDI), 3(1), 46-52.
[13] Bharadiya, J. . (2023). A Comprehensive Survey of Deep Learning Techniques Natural Language Processing. European Journal of Technology, 7(1), 58 - 66. https://doi.org/10.47672/ejt.1473
[14] Ranjan, J. (2009). Business intelligence: Concepts, components, techniques and benefits. Journal of theoretical and applied information technology, 9(1), 60-70.
[15] Sharma, Y., Balamurugan, B., Snegar, N., & Ilavendhan, A. (2021). How IoT, AI, and Blockchain Will Revolutionize Business. In Blockchain, Internet of Things, and Artificial Intelligence (pp. 235-255). Chapman and Hall/CRC.
[16] Jasmin Praful Bharadiya. (2023). Convolutional Neural Networks for Image Classification. International Journal of Innovative Science and Research Technology, 8(5), 673–677. https://doi.org/10.5281/zenodo.7952031
[17] Takhi, C., Kler, R., Choubey, S., Patni, I., & Negi, S. (2022, July). An Analytical Approach to the Impact of" Artificial Intelligence" on Business in the Dynamically Changing Era of Disruptive Technology. In 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES) (pp. 1-7). IEEE.