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    PORTFOLIO

    ZSmart Knowledge Defined Operater

    Overview

    ZSmart KDO(Knowledge Defined Operation) system is a suite of solution to the manage and use Al cases based on AI driven technologies and big data technologies.

     

    Along with the scale of telecommunication market has been further enlarged. The size of the data increasing very rapidly.Those data including network information and some customer information need to be use more efficient and helps the operator get high quality network,helps the customer get better services.

     

    So if the operators want get more and more benefits from the data and want to provide better services to customer.They are definitely need a suite of solution to do data governance, data analysis and even to get more instructions and suggestions from historic data by using some AI driven technologies.

     

    Solution Description

     

    The whole architecture contains two parts: Operation Brain and Operation Body.There are some key functions in Operation Brain and some AI cases are generated in Operation Brain.

     

    For Operation Body, it cloud be any system in BSS/OSS domain.And the Al cases can be introduced into normal OSS assurance or BSS business system modules such as Fault Management, Performance System, Workforce Management, Fulfillment module,CRM and so on. Whale cloud also provide the additional valued solution which already get a pre-integration with some ZSmart assurance modules to meet the proactive assurance requirements. KDO use the unified collection adapter to collect business data and operational data for analysis and AI modeling from . Then AI scenarios of use cases will be generated and can be quoted by any other systems. During the data processing, many popular and highly efficient and performance big data technologies are used. And during the AI modeling parts, kinds of AI platforms and AI algorithms are used.







    Benefits

     

    Better data governance

    All the operation data and business will be centralized managed

    The mess of the data can be logically stored and used

    Unified data collecting and centralized data processing

     

    Improve work efficiency and reduce labor cost

    Reduce key alarms by data analysis and automatic location

    Discover data automatically to reduce manually importing

    Provide knowledge and experience base analysis to increase success rate of resolving problems

    Dispatch work order to the right engineer, terminal, application and etc by AI driven calculating based by multiple factors like engineer skills and trouble type, geolocation information and so on

     

    Satisfy customer feeling of services

    Proactive assurance suggestions and recipes to operation engineers for advance trouble handing

    Proactive customer care to increase the satisfication of customers

    Predictive operation to prevent some potential issues

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