Review of big data visualization technology with artificial intelligence

In the digital age, where the amount of data is growing exponentially, traditional big data visualization methods often fall short, especially when it comes to processing high-dimensional data or matching visualization results to user needs. This highlights the need for better integration between artificial intelligence (AI) and big data visualization. AI has brought about significant changes in this field. This paper reviews research from the past five years to explore the integration of AI with big data visualization. It looks at the core technologies, common use cases, and challenges of this combination. The review finds that AI can address many issues in traditional visualization techniques, such as handling complex data and improving interaction and evaluation. However, challenges like model interpretability, data privacy concerns, and inconsistent standards remain. In the future, this integration is expected to move toward more transparent models, stronger privacy protection, and standardized systems. This will help unlock the full value of data in real-world applications.