🏷️ 数据库与大数据 📚 全库权威度:被 21 本专著深度引证 (出现 66 次) 阅读: 8分钟
难度: ★★★

Robotic Process Automation (RPA)

📌 概念释义与技术定位 (Definition & Overview)

learning, blockchain technology, and other big data applications like Robotic Process Automation (RPA) are some examples [22]. T...

💡 核心定义 (What)

learning, blockchain technology, and other big data applications like Robotic Process Automation (RPA) are some examples [22]. T...

🎯 技术定位与背景 (Why)

learning, blockchain technology, and other big data applications like Robotic Process Automation (RPA) are some examples [22]. T...

⚙️ 核心架构与工作机制 (Technical Mechanism)

在系统实现中,Robotic Process Automation 通过标准化算法与紧凑数据结构,优化【数据库与大数据】工作负载下的吞吐、延迟与可靠性。

📖 权威专著深度引证与原文精粹 (Expert Book Insights)

6 本专著引用
1

《AI and Fintech Improving the Financial Landscape》

✍️ 作者: K. P. Jaheer Mukthar etc.

“learning, blockchain technology, and other big data applications like Robotic Process Automation (RPA) are some examples [22]. The term “Fintech” refers to a broad”

2

《AI and Innovation HOW TO TRANSFORM YOUR BUSINESS AND OUTPACE THE COMPETITION WITH GENERATIVE AI》

✍️ 作者: Michael Lewrick OMAR HATAMLEH

“| Robotic Process Automation(RPA) | RPA employs software robots to automate processes that are repetitive in nature and governed by predefined rules. Thi”

3

《Building AI Agent Platforms (for Isabel Garcia)》

✍️ 作者: Ben OMahony and Fabian Nonnenmacher

“automate their workflows and reap the efficiency gains. As with Robotic Process Automation (RPA), the worst thing to automate is something that”

4

《AI-Driven Entrepreneurship Strategies for Financial Success in Startups and Economies》

✍️ 作者: Narendra, KumarPradipta, Banerjee

“2023; Bhardwaj et al., 2025). A prominent case is UiPath, a Robotic Process Automation (RPA) company that uses AI to automate repetitive and”

5

《Agentic Artificial Intelligence》

✍️ 作者: Pascal Bornet

“In the early 2010s, we actively participated in the birth of Robotic Process Automation (RPA). Think of it as software tools that mimic the”

6

《Intelligent Automation in Digital Transformation Strategy Building IA Programs in the Agentic AI Era》

✍️ 作者: Jonathan Hardy

“Transformation, beginning with the foundational concepts of Robotic Process Automation (RPA) and progressing to advanced capabilities in”

🚀 典型应用场景 (Industrial Applications)

1

生产级【数据库与大数据】核心业务系统构建

2

高并发海量数据环境下的性能瓶颈调优

3

现代开源工具链与云原生/大模型生态协同落地

⚖️ 技术优势与工程权衡 (Trade-offs & Pros/Cons)

🟢 核心优势与技术特性

  • + 提升【数据库与大数据】场景下的执行效率与系统健壮度
  • + 降低模块间耦合度,提供统一规范的交互标准
  • + 经过多本行业权威专著与工程实践验证

🔴 工程考量与潜在挑战

  • - 引入初期需要一定的架构设计与选型成本
  • - 在大规模分布式场景下需配合监控与治理体系协同保障

❓ 常见问题速查 (FAQ)

Q1

为什么在现代软件架构中需要重视 Robotic Process Automation?

它为【数据库与大数据】提供了低延迟、高可靠的工程化标准实现,解决了传统手工处理方式的效率短板。
Q2

在何种场景下应当优先选用 Robotic Process Automation?

当系统面临扩展瓶颈、模块解耦需求,或需要融入主流行业生态时,选用该技术具备极高的综合回报率。

学术引证与可靠性指数

21

引用专著数

66

全库出现频次

本词条定义与原理解析直接溯源自行业权威专著与最新同行评审成果,保障工程决策严谨性。

推荐技术进阶路线

1
基础概念入门
2
核心技术原理
3
权威专著引证研读
4
工业生产落地与演进
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