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Home > Resources > Member Whitepapers > AI Operations
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AI Operations

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AI (Artificial Intelligence)Data analyticsAI, Data & Analytics

Released: Tuesday, May 5, 2020

Artificial Intelligence (AI), combined with and empowered by advanced analytics, big data and virtualized computing power, will drive the automation and enhancement of CSPs’ network, IT service and business operations.

AI capabilities will be gradually infused in IT, network, and business systems and services through the implementation and deployment of AI models and AI components in all layers of CSPs systems architecture.

Systems running in IT & network operations will be providing AI capabilities through AI models and AI components embedded in their systems (BSS, OSS, Data Analytics, ERP, 3rd parties applications, digital applications etc.) supporting all sorts of business and operational processes.

AI deployment in systems will bring tremendous opportunity to improve the business processes, business services and the overall CSPs’ performance but will also create some challenges. In order to face the challenges created by the large-scale deployments of AI models in CSPs’ operations, service management processes will have to be redesigned and adapted to manage the new AI-driven operations and business scenarios and their underpinning AI-based systems.

 

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