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Examining the Inseparable Relationship between Big Data and Artificial Intelligence
Subject area: Science,Engineering and Technology · Area of research: Big Data and Artificial Intelligence
Abstract
This article explores the synergistic relationship between Big Data and Artificial Intelligence (AI), focusing on how Big Data provides the vast datasets required for AI algorithms to function effectively, while AI enhances Big Data analysis for better decision-making, automation, and innovation. Additionally, the article delves into the challenges, such as data privacy concerns, computational limitations, and the high costs associated with maintaining AI systems, while highlighting the immense potential for these technologies to revolutionize industries like healthcare, finance, and e-commerce. We will explore the future developments of AI processing power, the potential for DNA digital storage, and the shift toward green energy to address the environmental impact of data processing.
Keywords
Big Data, Artificial Intelligence, Machine Learning, Data Analysis
References
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How to cite this paper
@article{1706348,
author = {Fabiano Correia De Lima},
title = {Examining the Inseparable Relationship between Big Data and Artificial Intelligence},
journal = {Iconic Research And Engineering Journals},
year = {2024},
volume = {8},
number = {3},
pages = {570-572},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1706348.pdf},
abstract = {This article explores the synergistic relationship between Big Data and Artificial Intelligence (AI), focusing on how Big Data provides the vast datasets required for AI algorithms to function effectively, while AI enhances Big Data analysis for better decision-making, automation, and innovation. Additionally, the article delves into the challenges, such as data privacy concerns, computational limitations, and the high costs associated with maintaining AI systems, while highlighting the immense potential for these technologies to revolutionize industries like healthcare, finance, and e-commerce. We will explore the future developments of AI processing power, the potential for DNA digital storage, and the shift toward green energy to address the environmental impact of data processing.},
keywords = {Big Data, Artificial Intelligence, Machine Learning, Data Analysis},
month = {September},
}