Data mesh: a decentralised data architecture for improving AI and analytics workflows for CSPs
17 April 2023 | Research
Strategy report | PPTX and PDF (6 slides) | Data, AI and Development Platforms
"CSPs are interested in decentralising their data architecture, but only a handful of data platform providers are implementing data mesh solutions – this presents a significant market opportunity for these vendors."
Many communication service providers (CSPs) have a centralised organisational structure and platform for data management, which may become a bottleneck for analytics workflows. Data platform vendors could help CSPs to implement a decentralised data architecture to overcome challenges associated with a consolidated architecture.
Information included in this report
- A definition of the data mesh and its main components
- A discussion of how a data mesh can address challenges associated with a centralised organisational structure
- Recommendations to guide data platform vendors’ strategies for implementing a data mesh architecture
Related items
The Microsoft–Mistral AI partnership will bring both benefits and challenges for telecoms operators
Article
FutureNet World 2024: operators are progressively adopting AI technologies but still face issues with scale
Article
GenAI and the telecoms sector: three GenAI platform implementation strategies