The Automated assurance: implementation framework and guidelines for CSPs and vendors

CSPs are demanding radical improvements in operational efficiency and costs as part of their digital transformation initiatives. The automation of assurance processes using advanced anlaytics technologies such as machine learning and eventually AI, will help CSPs to achieve these goals, and will prepare the ground for zero-touch autonomous operations.

Communications service providers (CSPs) and vendors must redesign their assurance solutions to be based on a horizontal architecture that uses unified data collection and mediation layers to generate insights, and they should apply ML/AI-based analytics for automation. They must execute a multi-pronged strategy for assurance automation that includes intelligent automation, automated root cause analysis and assisted closed loop orchestration.


  • an overview of the reasons why assurance automation will be necessary
  • a framework for automated assurance architecture
  • three areas of assurance automation that CSPs and vendors should focus on
  • information on the market opportunity for automated assurance.

The A superlative digital customer experience is the starting point for a successful CSP digital transformation

The A superlative digital customer experience is the starting point for a successful CSP digital transformation market research report available in single user pdf license with Aarkstore Enterprise at USD 499

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Automated Home - Thematic Research

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A 33-Country Survey of the Automated Microbiology Market 2019: Supplier Shares, Segmentation Forecasts, Competitive Landscape, Innovative Technologies, Latest Instrumentation, Opportunities for Suppliers

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The Automated assurance systems: worldwide forecast 2018–2022

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