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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 DoneganBy submitting this form, you acknowledge that your contact information, including email address, will be shared with the sponsor, and consent to TM Forum contacting you by phone or email to fulfill your request and to inform you about appropriate products or services.
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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:
