GenAI in Digital Transformation: How Large Enterprises are Using Generative AI to Drive Innovation

Authors

  • Prabhu Muthusamy Cognizant Technology Solutions, Canada Author
  • Praveen Kumar Dora Mallareddi Dollar General Corp, USA Author
  • Dharmeesh Kondaveeti Conglomerate IT Services Inc, USA Author

Keywords:

Generative AI, digital transformation, intelligent automation, synthetic data

Abstract

Evolution of Generative Artificial Intelligence (GenAI) is remarkably reshaping digital transformation strategies in big companies. Achieving unmatched progress in automation, content generation, and intelligent decision-making. This study examines the integration of GenAI into corporate ecosystem which focuses on its application in automated content creation, synthetic data generation, AI-powered conversational agents, and intelligent process automation.

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References

I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio, "Generative adversarial networks," Communications of the ACM, vol. 63, no. 11, pp. 139–144, Nov. 2020.

Singu, Santosh Kumar. "Real-Time Data Integration: Tools, Techniques, and Best Practices." ESP Journal of Engineering & Technology Advancements 1.1 (2021): 158-172.

S. Kumari, "Agile Cloud Transformation in Enterprise Systems: Integrating AI for Continuous Improvement, Risk Management, and Scalability", Australian Journal of Machine Learning Research & Applications, vol. 2, no. 1, pp. 416-440, Mar. 2022

S. Kumari, "AI-Enhanced Agile Development for Digital Product Management: Leveraging Data-Driven Insights for Iterative Improvement and Market Adaptation", Adv. in Deep Learning Techniques, vol. 2, no. 1, pp. 49-68, Mar. 2022

Singu, Santosh Kumar. "Designing scalable data engineering pipelines using Azure and Databricks." ESP Journal of Engineering & Technology Advancements 1.2 (2021): 176-187.

S. Kumari, "AI-Driven Cybersecurity in Agile Cloud Transformation: Leveraging Machine Learning to Automate Threat Detection, Vulnerability Management, and Incident Response", J. of Art. Int. Research, vol. 2, no. 1, pp. 286-305, Apr. 2022

Y. Bengio, "Deep learning of representations for unsupervised and transfer learning," in Proc. 2012 ICML Workshop on Unsupervised and Transfer Learning, Bellevue, WA, USA, pp. 17–36, 2012.

A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin, "Attention is all you need," in Proc. Advances in Neural Information Processing Systems (NeurIPS), Long Beach, CA, USA, pp. 5998–6008, 2017.

P. H. Torr, T. Kipf, and M. Nickel, "Graph neural networks and their applications in generative AI systems," IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 5, pp. 1234–1251, May 2022.

M. Mitchell, "Addressing fairness and bias in AI-powered automation systems," Proceedings of the ACM on Human-Computer Interaction, vol. 6, no. CSCW1, pp. 1–23, 2022.

K. Zhou, Y. Liu, and L. Chen, "Federated learning for privacy-preserving AI in enterprises: Challenges and future directions," IEEE Internet of Things Journal, vol. 10, no. 3, pp. 4325–4340, 2023.

G. Hinton, O. Vinyals, and J. Dean, "Distilling the knowledge in a neural network," arXiv preprint arXiv:1503.02531, 2015.

R. He, C. Tian, and B. Liu, "AI governance in the era of generative models: Challenges, policies, and technical approaches," IEEE Transactions on Technology and Society, vol. 4, no. 1, pp. 33–49, 2023.

M. Bansal and J. T. Yao, "Conversational AI and enterprise chatbots: A review of NLP techniques and applications," IEEE Transactions on Computational Social Systems, vol. 10, no. 2, pp. 189–204, 2023.

Y. Li, X. Pan, and Z. Wang, "Scalability challenges in enterprise AI adoption: A systematic survey of large-scale generative models," ACM Computing Surveys, vol. 55, no. 3, pp. 1–37, 2023.

R. Marcus, "Generative AI-driven digital transformation: Emerging trends and strategic considerations for enterprises," IEEE Access, vol. 11, pp. 11234–11250, 2023

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Published

12-08-2022

How to Cite

[1]
Prabhu Muthusamy, Praveen Kumar Dora Mallareddi, and Dharmeesh Kondaveeti, “GenAI in Digital Transformation: How Large Enterprises are Using Generative AI to Drive Innovation ”, Essex Journal of AI Ethics and Responsible Innovation, vol. 2, pp. 176–213, Aug. 2022, Accessed: Apr. 16, 2025. [Online]. Available: https://ejaeai.org/index.php/publication/article/view/15