Authors : Aaditi Manoj Dhumal

Volume/Issue : Volume 11 - 2026, Issue 4 - April

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Google Scholar : https://tinyurl.com/yf8w3mrk

Scribd : https://tinyurl.com/ycy42ynh

DOI : https://doi.org/10.38124/ijisrt/26apr2272

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

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Abstract : Big Data is a lot of information that comes from different places like social media, detectors and computers. This information is made snappily. Artificial Intelligence and Machine Learning are tools that help us understand and get useful information from Big Data. This paper addresses about how Artificial Intelligence and Machine Learning make it better to reuse, store and dissect Big Data. It does this by using robotization, prophetic analytics and smart decision- timber. We look at how Artificial Intelligence and Machine Learning are used in Big Data operations in numerous fields, like healthcare, finance and education. We also talk about the problems that come with Big Data like making sure the information is good keeping it private and making sure it can be used by a lot of people.

Keywords : Big Data, Artificial Intelligence Machine Learning, Data Analytics, Predictive Modeling.

References :

1. Chen, M., Mao, S. And Liu Y. Wrote a survey on Big Data in 2014 for Mobile Networks and Applications.
2. Dean, J. And Ghemawat S. Published a paper on MapReduce in 2008. They talked about how to process amounts of data easily. It was in Communications of the ACM.
3. Davenport T. Wrote an article for Harvard Business Review in 2018. He discussed using Artificial Intelligence in the world.
4. Jordan, M. And Mitchell T. Wrote about Machine Learning in 2015. They shared trends, perspectives and prospects in Science.
5. Manyika, J. And others published a report on Big Data in 2011. They talked about how Big Data can help with innovation, competition and productivity. It was, from McKinsey Global Institute.