Data mesh: a decentralised data architecture for improving AI and analytics workflows for CSPs
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
USD1499
Log in to check if this content is included in your content subscription.
Related items
Article
OpenAI’s acquisition strategy reshapes the enterprise AI professional services market
Article
Monetisation of the AI value chain must reflect both the benefits of AI and the underlying cost structures
Company profile
Google Cloud: AI platforms
