Innovative Ways of Utilizing Generative AI for Graphical Big Data Analysis
DOI:
https://doi.org/10.47363/JAICC/2024(3)222Keywords:
Generative Artificial Intelligence (AI), Graphical Big Data Analysis, Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs)Abstract
This essay explores the integration of Generative Artificial Intelligence (AI) models, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), in graphical big data analysis. Generative AI offers the generation of synthetic graphical data, improves data visualizations, and aids in pattern recognition within complex datasets. It presents innovative solutions to the challenges posed by large and intricate graphical datasets, enhancing the depth and accuracy of data analysis.
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2024-01-23
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Copyright (c) 2024 Journal of Artificial Intelligence & Cloud Computing
This work is licensed under a Creative Commons Attribution 4.0 International License.
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Innovative Ways of Utilizing Generative AI for Graphical Big Data Analysis. (2024). Journal of Artificial Intelligence & Cloud Computing, 3(1), 1-3. https://doi.org/10.47363/JAICC/2024(3)222