Unlocking Insights: The Power of Data Science and AI in Data Visualization

Hemalatha Naga Himabindu, Gurajada

doi:10.63530/IJCSITR_2022_03_01_016

Authors

Hemalatha Naga Himabindu, Gurajada Data Scientist, PNC Bank, USA. Author

DOI:

https://doi.org/10.63530/IJCSITR_2022_03_01_016

Keywords:

Data Science, Artificial Intelligence, Data Visualization, Machine Learning, Big Data, Decision-Making, AR and VR

Abstract

In the current discussion, the ability to derive effective insights of course of action based on big data volumes is a sine qua non toward meaningful decision-making within various sectors of the industry. The traditional ways of data visualization are less successful when working with the complexity and the size that modern datasets have. These forms of adoption of Data Science in a combination with Artificial Intelligence (AI) have therefore transformed how data are interpreted as well as how it is conveyed. Focusing on the Data Science and AI areas, the current analysis provides an overview of the connection between Data Science, artificial intelligence, and Data Visualization, given the fact that advanced algorithms and machine-learning forms complement more conventional methods of visualization. Using AI-assisted analytical toolsets, companies can now detect hidden patterns and can arrive at data-based conclusions with greater accuracy. The research paper surveys the literature available on AI-capable visualization platforms, provides case examples in the context of healthcare, finance and marketing, as well as examines challenges and limitations that AI integration into visualization systems presents. Besides, the discourse outlines the future pathways especially in the form of the possible usages of AR, VR, and quantum computing, to develop data visualisation. Manifesting the revolutionary perspective of the combination of Data Science and AI, the paper outlines the possibilities of the technologies to shape the future of data visualization.

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