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Systems and methods employing the use of neural networks for real-time business intelligence and automation control

机译:使用神经网络进行实时商业智能和自动化控制的系统和方法

摘要

A system and integration infrastructure to provide a distributed matrix or neural network of connected real-time decision support modules designed to perform business intelligence evaluations in real time. The system and integration infrastructure provide a network of intelligence superimposed upon any company's existing IT data centers, and cloud computing connections. The system is highly customizable to the unique business model deployed by the client company within the best practices of the client company's industry. Whether or not the client company has integrated their diverse enterprise systems, the elements of the matrix are annealed to the various data sources, transaction logs and client software installations currently deployed. These matrix elements or neurons are designed to house critical operational data, determined by the operational model of the client company to be of critical importance. When combined with monitor neurons, they automatically assess the gap between the desired state of a critical element and the current condition in real time. Trigger conditions are pre-established, but modified by an executive controller in real-time, and the system is pre programmed to automatically respond in a prescribed manner to critical conditions having been met even when these conditions come from otherwise stove-piped enterprise applications.
机译:一种系统和集成基础结构,用于提供连接的实时决策支持模块的分布式矩阵或神经网络,这些实时决策支持模块旨在实时执行商业智能评估。该系统和集成基础架构提供了一个智能网络,该网络叠加在任何公司的现有IT数据中心和云计算连接上。该系统可根据客户公司行业的最佳实践,根据客户公司部署的独特业务模型进行高度自定义。无论客户公司是否已集成其多样化的企业系统,矩阵的元素都将与当前部署的各种数据源,事务日志和客户端软件安装一起退火。这些矩阵元素或神经元旨在容纳关键的运营数据,这些数据由客户公司的运营模型确定为至关重要。当与监控神经元结合使用时,它们会实时自动评估关键元素的所需状态与当前状况之间的差距。触发条件是预先建立的,但由执行控制器实时修改,并且系统已预先编程为以规定的方式自动对已满足的关键条件作出响应,即使这些条件来自于原本是费力的企业应用。

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