Telcos must get a grasp of what projects will generate the most financial value while supporting corporate goals.
Introduction
The trend of being a data-driven organization keeps gaining ground – and telcos must get a grasp of what projects will generate the most financial value while supporting corporate goals. It’s all about fast execution, which is triggered by automation in virtual networks.
In a recent survey conducted by Omdia, respondents stated that improving access to telco-specific data models drives their use of AI and machine learning (ML). Respondents who consider using AI for realizing their long-term business objectives, need good training data for complex models.
AI/ML tools for pressing use cases
Omdia asked respondents what would make their AI/ML tools more meaningful and effective for their 5G use cases.
- 37% of the respondents stated easier access to external data sources
- 32% answered that telco-specific models will help them to achieve this goal
- 14% cited eliminating data silos
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Creating good quality data models is key to supporting the use of operational data in a world where this data is increasingly going to generate value for a telco. In this webinar, industry analyst Charlotte Patrick sits down with Eran Katz, Amdocs solution architect, to explain why.
