对大数据,人工智能和机器学习在当前数据转型时代的自动化影响的协同审查
Swastik Rath1, Manjusha Pandey1, Siddharth Swarup Rautaray1
1Computer Science and Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, Odisha, 751003, India.
F1000Research
|July 28, 2025
概括
自动化,人工智能 (AI) 和机器学习 (ML) 正通过利用大数据分析 (BDA) 来改变行业. 本文审查了AI,ML和BDA在医疗保健,金融,零售,房地产和农业中的应用.
科学领域:
- 计算机科学 计算机科学
- 数据科学数据科学数据科学
- 信息技术 信息技术 信息技术
背景情况:
- 自动化,AI,ML和BDA的融合正在推动全球的重大技术进步.
- 这些技术正在重塑各种行业和社会结构.
研究的目的:
- 审查自动化,AI,ML和BDA在关键行业的变革性影响.
- 要突出医疗保健,银行,金融,零售,房地产和农业中的应用.
- 识别数据驱动决策中的挑战和未来方向.
主要方法:
- 一份对1000多篇研究论文的综合评论.
- 结果被分类为100个关键的研究特征.
- 大数据分析应用的基于调查的分析.
主要成果:
- BDA,AI和ML提高了各个部门的运营,风险管理和决策.
- 主要应用包括疾病预测,欺诈检测,消费者分析,市场预测和灾害管理.
- 大数据对于预测分析,改善结果和创新至关重要.
结论:
- 行业有效地利用大量数据来获得可操作的见解和流程优化.
- 数据质量,可扩展性和隐私等挑战需要注意.
- 未来的方向强调机器独立解决方案,数据安全和道德考虑.
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