融合AI与大数据的流程优化模型，让企业处理更快更省
A Research on Business Process Optimisation Model Integrating AI and Big Data Analytics
- 三层架构整合数据、算法与业务逻辑，支持实时监控优化
- 实验显示流程时间缩短42%，资源利用率提升28%，成本降35%
- 适合推进数字化转型的企业，尤其关注效率提升的场景
随着数字化转型深化，企业流程优化成为提升竞争力的关键。本研究构建了融合人工智能与大数据分析的流程优化模型，实现全流程智能管理。模型采用包含数据处理、AI算法和业务逻辑的三层架构，支持实时过程监控与优化。通过分布式计算与深度学习技术，系统可在复杂业务场景下保持高性能与高可靠性。多企业场景实验表明，该模型使流程处理时间缩短42%，资源利用率提升28%，运营成本降低35%，在高并发负载下仍维持99.9%可用性。研究成果对推动企业数字化转型具有重要理论与实践价值，为提升企业运营效率提供新思路。
原文摘要 · Abstract (English)
With the deepening of digital transformation, business process optimisation has become the key to improve the competitiveness of enterprises. This study constructs a business process optimisation model integrating artificial intelligence and big data to achieve intelligent management of the whole life cycle of processes. The model adopts a three-layer architecture incorporating data processing, AI algorithms, and business logic to enable real-time process monitoring and optimization. Through distributed computing and deep learning techniques, the system can handle complex business scenarios while maintaining high performance and reliability. Experimental validation across multiple enterprise scenarios shows that the model shortens process processing time by 42%, improves resource utilisation by 28%, and reduces operating costs by 35%. The system maintained 99.9% availability under high concurrent loads. The research results have important theoretical and practical value for promoting the digital transformation of enterprises, and provide new ideas for improving the operational efficiency of enterprises.
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