Modernising CSPs’ data architectures for network analytics/AI-driven automation
11 October 2023 | Research
Strategy report | PPTX and PDF (17 slides) | AI and Data Platforms
Communications service providers (CSPs) are defining their strategies for autonomous networks. Current data architectures will fail to support these strategies. CSPs must transform data architectures using modern best practices to create a framework that eases the creation and exposure of network insights for automation.
Information included in this report
- Analysis of the market factors and challenges motivating CSPs to transform data architectures for network analytics/AI-driven automation
- A summary of the best practices recommended for CSPs in the development of new data architectures that facilitate network analytics/AI-driven automation
- Insights into how CSPs are currently implementing these best practices and leveraging cutting-edge technologies to transform data architectures in support of network analytics/AI-driven automation
Downloads
Sample pages (PDF)Author
Adaora Okeleke
Principal Analyst, expert in AI and data managementRelated items
Framework report
The AI-native RAN: a framework for telecoms operators and vendors
Article
Data platform providers use GenAI in their platforms to enhance efficiency and customer experience
Article
Vendors must adopt GenAI solutions quickly to maintain a competitive edge in the telecoms market