Harnessing Big Data and AI for Next-Generation Business Intelligence in Cloud Environments
Keywords:
Big Data, Cloud Computing, AI, Machine Learning, Business Analytics, Workflow Management, Scalable Performance, Geo-Distributed Storage, Disaster Recovery, Decentralized Cloud, Cloud Infrastructure, Business Intelligence, Service Models, Tools-as-a-Service, Data Management, Benchmarking, Performance Analysis, Industry Demands, NextGeneration Computing, Advanced Technologies.Abstract
As the volume and diversity of data grow at an unprecedented pace, new technologies have emerged to manage and analyze enormous data collections captured across a range of domains. In particular, big data technologies challenging existing business analytics models are increasingly implemented on cloud infrastructure with significant thrusts from AI, machine learning, and workflow management techniques.
References
Laxminarayana Korada, V. K. S. (2024). Why are large enterprises building private clouds after their journey on public clouds?. European Journal of Advances in Engineering and Technology, 11(2), 49-52.
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Published
2024-10-12
How to Cite
Purna Chandra Rao Chinta, Chethan Sriharsha Moore,Manikanth Sakuru, Srinivasa Rao Maka. (2024). Harnessing Big Data and AI for Next-Generation Business Intelligence in Cloud Environments. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 1926–1940. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/1929
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