Analysis of Problems and Countermeasures of Artificial Intelligence in Business Analytics

Authors

  • Weiye Chen

DOI:

https://doi.org/10.62051/zqmrfx94

Keywords:

Business analytics; artificial intelligence; data governance; privacy protection; initial cost reduction.

Abstract

The use of Artificial Intelligence (AI) in business analytics presents significant opportunities and challenges. This study analyzes the major issues in AI implementation, such as data accuracy, high initial cost, and privacy protection. To address these issues, the study proposes countermeasures, including strengthening data governance, reducing initial costs through cloud-based AI services, and enhancing data privacy protection measures. The results of the study point out the specific manifestations and solutions to these problems and provide actionable strategic recommendations for enterprises in AI applications. This study has significant application value for how enterprises can improve decision-making efficiency, reduce operational risks, and achieve sustainable development through AI.

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References

[1] J. Smith, The role of AI in business analytics, J. Bus. Res. 123 (2020) 45-58.

[2] A. Johnson, AI and its impact on emerging markets, in: Proc. Int. Conf. AI Appl., (2021) 78-89.

[3] L. Brown, M. Green, COVID-19 and supply chain disruptions, Int. J. Supply Chain Manag. 15(4) (2022) 102-115.

[4] R. Patel, The cost of implementing AI in SMEs, Small Bus. Econ. 53 (2019) 125-136.

[5] K. Williams, Data privacy in the age of AI, J. Inf. Secur. 34(2) (2018) 123-134.

[6] A. Lewis, AI and ethical business practices, Bus. Ethics J. 45(3) (2020) 112-127.

[7] McKinsey & Company, Data governance for enhanced AI performance, McKinsey Insights (2021) 54-67.

[8] P. Davis, Cloud-based AI solutions for SMEs, J. Cloud Comput. 19(3) (2020) 77-89.

[9] D. Turner, AI innovation in modern business, Global Technol. Rev. 22(4) (2021) 89-105.

[10] H. Thompson, Enhancing data security in AI systems, J. Cybersecur. 28(1) (2022) 34-45.

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Published

23-12-2024

How to Cite

Chen, W. (2024). Analysis of Problems and Countermeasures of Artificial Intelligence in Business Analytics. Transactions on Economics, Business and Management Research, 14, 545-550. https://doi.org/10.62051/zqmrfx94