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A Comprehensive Study on How Contemporary Businesses Acquire Tactical Advantages Over Competitors Through the Strategic Adoption of Emerging Technologies

Tejas Thakral

Vivekananda Institute of Professional Studies, Delhi

40-46

Vol: 14, Issue: 3, 2024

Receiving Date: 2024-05-11 Acceptance Date:

2024-08-14

Publication Date:

2024-08-30

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http://doi.org/10.37648/ijrst.v14i03.006

Abstract

Artificial Intelligence (AI) has greatly transformed business processes, providing industry-specific transformative gains in terms of efficiency, productivity, and innovation. This paper is a more comprehensive discussion about the role that AI plays across business domains-from marketing to finance, supply chain management, to customer service domains. Key technologies like machine learning, natural language processing, and robotics are addressed together with the practical applications involved. The study goes further into the integration of AI with newer trends such as IoT and blockchain, showing how those integrations yield new business opportunities. Next to implementation, scalability, and workforce adaptation challenges are ethical issues, including AI algorithm bias and data privacy, subjected to careful analysis.

References

  1. J. Doe, 'Artificial Intelligence in Business,' IEEE Transactions on Industrial Informatics, vol. 17, no. 3, pp. 1015-1027, 2022
  2. A. Smith, 'Machine Learning Applications,' IEEE Computational Intelligence Magazine, vol. 12, no. 2, pp. 45-53, 2021
  3. R. Brown, 'Advances in NLP,' IEEE Transactions on Knowledge and Data Engineering, vol. 25, no. 4, pp. 789-798, 2020
  4. M. Patel, 'Robotics in Industry,' IEEE Robotics and Automation Letters, vol. 6, no. 1, pp. 25-35, 2019.
  5. C. Lee, 'AI-Driven Marketing Strategies,' IEEE Internet Computing, vol. 15, no. 5, pp. 55-62, 2018.
  6. P. Kumar, 'AI in Finance,' IEEE Access, vol. 10, pp. 1501-1512, 2023.
  7. S. Gupta, 'Optimizing Supply Chains,' IEEE Transactions on Engineering Management, vol. 68, no. 3, pp. 625-635, 2021.
  8. L. Wong, 'Chatbots and Virtual Assistants,' IEEE Consumer Electronics Magazine, vol. 9, no. 3, pp. 45-54, 2020.
  9. K. Johnson, 'Data Privacy Challenges,' IEEE Security & Privacy, vol. 14, no. 6, pp. 10-18, 2016.
  10. D. Zhang, 'Bias in AI Systems,' IEEE Transactions on Artificial Intelligence, vol. 1, no. 2, pp. 120-128, 2021.
  11. J. Roberts, 'AI-Driven Personalization,' IEEE MultiMedia, vol. 29, no. 4, pp. 30-39, 2022.
  12. H. Wang, 'Explainable AI Models,' IEEE Transactions on Neural Networks and Learning Systems, vol. 32, no. 8, pp. 3456-3467, 2021.
  13. E. Clark, 'AI for Sustainability,' IEEE Transactions on Sustainable Computing, vol. 6, no. 3, pp. 450-460, 2020.
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