Unlocking AI potential through a modern data architecture
This report looks at telcos’ efforts to democratize data and explains why a modern data architecture provides a critical foundation for scaling AI.
Dawn Bushaus
Michelle DoneganDownload Report
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Unlocking AI potential through a modern data architecture
A new survey conducted by TM Forum’s Insight team reveals that most CSPs face significant challenges to sharing data across their organizations. Indeed, only 2 out of 87 senior IT and network leaders reported that their companies have fully democratized data. But without a modern data architecture and mindset, CSPs risk falling behind in AI adoption.
Modernizing data isn’t just a technical challenge. It demands a fundamental shift in how organizations store, access and govern data. Emerging approaches like data mesh and data fabric enable decentralized access, but the real hurdle is cultural. Telcos’ legacy of prioritizing stability has fostered risk-averse, siloed environments where data is tightly controlled.
To become AI-driven, CSPs must treat data as a strategic asset. This means breaking down silos, fostering cross-functional collaboration and empowering teams with seamless access to data. In the modern telco, data becomes shared knowledge, fueling innovation and agility.
Read this report to learn:
- Why democratizing data is essential for AI success
- The biggest challenges CSPs face in modernizing their data architectures
- How companies like BT, Jio, Orange, Omantel, Telefónica, Telenor, Vodafone and Zayo are overcoming these hurdles
- Why governance is key, and the cultural and organizational shifts required to treat data as a strategic asset
- How TM Forum’s Data Architecture Project is helping operators modernize their approaches to data management.
