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drools-examples-1's Introduction

业务决策自动化

任何一家组织或企业都面临着作出决定或决策性的问题,这些问题通常比较复杂,一般都需要算法分析大量决策相关的数据,例如当前一些热门的话题,如物联网、人工智能、认知计算都基于算法分析海量数据,产生有用信息的过程。Drools 作为一个开源的推理引擎,有 20 年历史,基于规则匹配算法非常适用与与这一场景。

drools history

基于 Drools 可以构建一个全面的业务自动化平台,用于业务规则管理,业务资源优化和复杂事件处理(CEP)。组织或企业可以将复杂的决策逻辑整合到业务线应用程序中,并在市场条件发生变化时快速更新基础业务规则,有效提高业务的能力。基于 Drools 业务决策自动化的主要特点:

  • 业务敏捷 - 规则将业务规则和应用相关的考量(UI 展现,持久化)分开,您会有足够的灵活性,及时的响应市场的变化,增加响应时间和敏捷性

  • 实时响应 - 规则基于算法提供准确高效的计算,可持续处理数据,事件,让您看到风险与机遇并实时作出决策

  • 最优计划 - 最优计划制订依赖算法和数据,让您的业务计划科学可信,投资回报最大化

  • 高效合作 - 让业务专家和政策制定者与 IT 人员一起参与到业务系统构建,且两者作用相当

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