An overview of visual intelligent tools based on artificial intelligence
DOI:
https://doi.org/10.61173/yyy6af60Keywords:
data visualization, artificial intelligence, overview, smart interactionAbstract
In recent years, data visualization technology has received widespread attention, offering users a way to gain an in-depth understanding and effective exploration of various datasets by visualizing their composition and characteristics. Simultaneously, with the continuous development of hardware and algorithms, artificial intelligence (AI) has permeated every aspect of contemporary social life. Some studies have proposed the use of intelligent visualization tools that leverage AI to achieve significant results in data analysis, decision support, and automated reporting. However, there is a lack of systematic work to summarize and analyze these literature. In this paper, we conduct a comprehensive review of AI-based intelligent visualization tools and their applications in various domains. Firstly, we introduced the foundational concepts of AI and data visualization and explored the relationship between these two. we provided an overview of prevalent AI-based intelligent visualization tools along with their diverse applications. Our discussion encompassed renowned tools like Tableau, Power BI, QlikView, D3.js, IBM Watson Analytics, and FusionCharts, delving into their distinctive features, functionalities, and practical implementations. Furthermore, we have explored the advantages and challenges of AI-integrated visualization. The advantages include enhanced data understanding and insights, as well as automation of analysis and visualization generation. Some challenges coexist in the meantime, including data quality and accuracy, privacy and security concerns, and user experience and usability issues. Based on our findings, we have added a great deal to the corpus of knowledge by giving a thorough rundown of visualization tools with AI integration and their possible uses. We have also identified existing issues and limitations that need to be addressed for further advancements in this field. Lastly, we have proposed future research directions and development trends to guide researchers and practitioners in fully harnessing the potential of AI and visualization.
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