Optimizing Data Pipelines with AI and ML: Automation, Scalability, and Real-Time Analytics
Keywords:
Artificial intelligence, machine learning, data pipelines, edge computing, anomaly detectionAbstract
The exponential growth of global data generation has fundamentally transformed data engineeringlandscapes, necessitating revolutionary approaches to pipeline architectures and processing methodologies.
References
David Reinsel, John Gantz, and John Rydning, "The Digitization of the World From Edge to Core,"
IDC Data Age Report, Seagate Technology, 2020. Available: https://www.seagate.com/files/www
content/our-story/trends/files/dataage-idc-report-final.pdf
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Published
2025-11-28
How to Cite
Bujjibabu Katta. (2025). Optimizing Data Pipelines with AI and ML: Automation, Scalability, and Real-Time Analytics . Journal of Computational Analysis and Applications (JoCAAA), 34(11), 915–927. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4265
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