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April 1, 2026电子通信与计算机科学0 citationsOpen Access

基于人工智能计算中心的大数据分析技术研究

旭陈旭 陈王王洪亮

Key Points

  • The aim is to investigate the technologies and implications of big data analysis based on AI computing centers.
  • Describes the technical architecture including data collection and preprocessing, storage, analysis, and visualization.
  • Explores key technologies like distributed computing, machine learning, and deep learning.
  • Analyzes applications in finance and healthcare.
  • Highlights the integration of AI and big data as a key driver for digital economic growth.
  • Discusses the future trends such as technological integration, automation, and real-time analysis.

Abstract

随着人工智能与大数据深度融合驱动产业变革，基于人工智能计算中心的大数据分析技术已成为推动数 字经济发展的核心引擎。本文聚焦基于人工智能计算中心的大数据分析技术展开研究。首先阐述其技术架构，涵盖数 据采集与预处理、存储与管理、分析与挖掘、可视化与决策支持等层次。接着探讨关键技术，包括分布式计算、机器 学习与深度学习等。随后分析在金融服务、医疗健康等多个领域的应用场景。最后展望未来发展趋势，如技术融合、 智能化与自动化、边缘计算与实时分析以及行业应用深化等方向，旨在全面呈现该领域现状与前景。

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Cite This Study

陈 et al. (2026) studied this question.

synapsesocial.com/papers/69cd79e15652765b073a6c6ahttps://doi.org/10.37155/2717-5170-0801-6
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