European Journal of Computer Science and Information Technology (EJCSIT)

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The Role of Big Data in Improving Artificial Intelligence Algorithms

Abstract

In the dynamic landscape of artificial intelligence (AI), the integration of big data has emerged as a pivotal force in driving advancements and enhancing the capabilities of AI algorithms. This research paper delves into the fundamental role that big data plays in improving AI algorithms. By leveraging vast datasets, AI algorithms can be refined and optimized, resulting in more accurate predictions, deeper insights, and heightened overall performance. The paper begins by exploring the symbiotic relationship between big data and AI, emphasizing how the availability of massive datasets has become a catalyst for innovation in machine learning and deep learning. Through comprehensive data analysis, AI models can learn and adapt to complex patterns, leading to more intelligent decision-making. This research paper explores “The Role of Big Data in Improving Artificial Intelligence Algorithms” by delving into the pivotal influence that large datasets have on the development and enhancement of AI algorithms.

Keywords: Artificial Intelligence Algorithms, Autonomous Systems, Big Data, Data-Driven Technologies

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This work by European American Journals is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License

 

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Email ID: editor.ejcsit@ea-journals.org
Impact Factor: 7.80
Print ISSN: 2054-0957
Online ISSN: 2054-0965
DOI: https://doi.org/10.37745/ejcsit.2013

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