AIOps implementation strategies for network operations

31 January 2025 | Research

Adaora Okeleke | Dennisa Nichiforov

Strategy report | PPTX and PDF (20 slides) | Automated Assurance| AI and Data Platforms


"Operators must implement strategies to enable maximum returns on investment when adopting AIOps practices for network operations."

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This report outlines the benefits of adopting AIOps solutions when automating network operations and highlights the issues that are preventing telecoms operators from realising the full potential of such solutions.

The report also provides recommendations for both operators and vendors about how to achieve the expected results when implementing AIOps in network operations. This includes adopting modern data architectures, implementing robust ModelOps frameworks and evolving OSS applications.

Questions answered in this report

  • What are the current limitations that are preventing operators from realising the full potential of AIOps for network automation?
  • What are the challenges and opportunities related to the modernisation of data architecture for AI-driven network operations?
  • How can operators effectively manage the lifecycle of AI models to ensure their reliability and performance?
  • What are the characteristics of AI-enabled applications that facilitate seamless integration and automation?

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Authors

Adaora Okeleke

Principal Analyst, expert in AI and data management

Dennisa Nichiforov

Senior Analyst