Leveraging Robotic Process Automation (RPA) with AI and Machine Learning for Scalable Data Science Workflows in Cloud-Based Data Warehousing Environments

Authors

  • Jeshwanth Reddy Machireddy Sr. Software Developer, Kforce INC, Wisconsin, USA Author

Keywords:

Robotic Process Automation, Artificial Intelligence

Abstract

RPA, ML, and AI scale cloud data warehousing data science. Scalable, automated solutions are needed for cloud-based data processing and analysis. Data science operations may be improved by automating repetitive procedures, increasing predictive analytics, and simplifying data administration in massive, distributed systems using RPA, AI, and ML.
ML and AI automate RPA's repeating rules. Cognitive and data-driven predictive modeling enhance RPA with AI/ML. The association helps computers automate difficult data processing jobs more accurately and efficiently, according to studies. Data activities that are unsuitable for RPA may be automated using AI and ML.

References

M. L. Yiu, K. H. Lee, and C. W. K. Leung, "Robotic process automation: A review of technology and application," IEEE Access, vol. 9, pp. 108582–108594, 2021.

G. Li, Y. Zhao, and S. Wang, "Artificial intelligence and machine learning in data science: A survey," IEEE Transactions on Knowledge and Data Engineering, vol. 33, no. 4, pp. 1152–1168, Apr. 2021.

J. K. Finkelstein and L. Zhang, "Cloud-based data warehousing: Architecture and deployment," IEEE Transactions on Cloud Computing, vol. 9, no. 2, pp. 561–573, Apr.-Jun. 2021.

P. Gupta, S. K. Tiwari, and A. K. Singh, "Integration of RPA with AI: A comprehensive review," IEEE Access, vol. 8, pp. 185692–185705, 2020.

C. T. Lin, Y. L. Wang, and M. H. Chen, "Performance evaluation of AI-powered data processing in cloud environments," IEEE Transactions on Network and Service Management, vol. 17, no. 3, pp. 2294–2305, Sep. 2020.

S. B. Kumar, N. K. Patel, and V. R. Patel, "A comparative analysis of RPA and traditional data processing techniques," IEEE Transactions on Automation Science and Engineering, vol. 18, no. 1, pp. 59–71, Jan. 2021.

H. J. Kwon and T. W. Choi, "Machine learning algorithms in cloud-based data analytics," IEEE Transactions on Big Data, vol. 8, no. 4, pp. 1367–1379, Dec. 2022.

R. Sharma and A. Verma, "Enhancing data warehousing efficiency through AI and ML techniques," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 51, no. 10, pp. 5390–5403, Oct. 2021.

A. N. Nair, "Challenges and solutions in integrating RPA with cloud data warehousing," IEEE Transactions on Cloud Computing, vol. 9, no. 1, pp. 232–244, Jan.-Mar. 2021.

K. M. Rai and B. T. Han, "Cost-benefit analysis of RPA in large-scale data environments," IEEE Access, vol. 9, pp. 129460–129471, 2021.

Y. C. Huang and J. W. Liu, "Advanced data management strategies in cloud-based systems using RPA and AI," IEEE Transactions on Parallel and Distributed Systems, vol. 32, no. 5, pp. 1228–1239, May 2021.

L. D. Roberts, "Integrating AI and ML for scalable cloud data processing," IEEE Transactions on Cloud Computing, vol. 10, no. 3, pp. 951–963, Jul.-Sep. 2022.

T. C. Wong and F. S. Lim, "Real-world implementations of RPA in cloud environments," IEEE Transactions on Automation Science and Engineering, vol. 17, no. 2, pp. 368–379, Apr. 2020.

J. B. Kim and M. G. Zhang, "Performance and cost analysis of AI-driven cloud-based data warehousing," IEEE Transactions on Big Data, vol. 8, no. 2, pp. 582–594, Jun. 2022.

Z. H. Zhao and X. L. Gao, "Future trends in AI and ML applications for cloud data analytics," IEEE Access, vol. 10, pp. 43001–43015, 2022.

S. G. Wu and H. J. Zhang, "Data security and compliance in cloud-based RPA systems," IEEE Transactions on Information Forensics and Security, vol. 17, no. 1, pp. 123–135, Jan. 2022.

R. S. Mehta and K. J. Kapoor, "Scalable RPA solutions for large-scale data processing in the cloud," IEEE Transactions on Cloud Computing, vol. 11, no. 2, pp. 345–357, Apr.-Jun. 2022.

D. R. Martin and P. L. Chen, "Data privacy challenges in AI-driven RPA systems," IEEE Transactions on Dependable and Secure Computing, vol. 18, no. 3, pp. 1740–1752, May-Jun. 2021.

W. X. Xu and J. W. Liu, "Future directions in AI, ML, and RPA integration for cloud-based systems," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 52, no. 4, pp. 1987–1999, Apr. 2022.

A. M. Prasad and L. K. Kumar, "Optimizing cloud data warehousing with AI and RPA technologies," IEEE Transactions on Knowledge and Data Engineering, vol. 33, no. 5, pp. 1144–1156, May 2021.

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Published

24-10-2022

How to Cite

[1]
Jeshwanth Reddy Machireddy, “Leveraging Robotic Process Automation (RPA) with AI and Machine Learning for Scalable Data Science Workflows in Cloud-Based Data Warehousing Environments”, Aus. J. of Machine Learning Res. & App., vol. 2, no. 2, pp. 234–261, Oct. 2022, Accessed: Mar. 14, 2025. [Online]. Available: https://ajmlra.org/index.php/publication/article/view/26