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AI SYSTEM FOR PROCESSING HISTORICAL DATA TO IDENTIFY AND RECONFIGURE PRESCHEDULED, SUBOPTIMAL EVENTS

机译:AI系统,用于处理历史数据以识别和重新配置预定,次优事件

摘要

An entity may generate generic notifications for transmittal to a plurality of customers. One of the notifications may not be properly customized for a customer to whom the notification is scheduled for deployment. A system is provided that generates and refines generic notifications using artificial intelligence (“AI”). The system may include an application server running an AI engine for periodically monitoring, at a given point in time, historical customer data relating to less than a predetermined number of customers to ensure reduced, relative to a predetermined baseline, processing usage. The AI engine may determine, during the monitoring, that notifications transmitted by the platform to one of the customers have failed to elicit a positive response from the customer. The determination may prompt the AI engine to put the generic notification on hold for the customer and to perform additional steps to alter the generic notification to a targeted notification.
机译:实体可以生成用于传输到多个客户的通用通知。 对于通知被调整用于部署的客户,可能无法正确自定义其中一个通知。 提供了一种系统,用于使用人工智能(“AI”)生成和改进通用通知。 该系统可以包括运行AI引擎的应用服务器,用于定期监视,在给定的时间点,与小于预定数量的客户相关的历史客户数据以确保相对于预定基线处理使用。 AI引擎可以在监视期间确定由平台传输到客户之一的通知未能引发来自客户的肯定响应。 该确定可以提示AI引擎将通用通知置于保持客户并执行其他步骤以将通用通知更改为目标通知。

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