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"Quality data and AI for Autonomous Networks"

AI-driven networks offer savings and better customer experience, but telecom providers face data quality issues hindering automation. This resource explores how data mesh architecture and analytics can tackle data debt, enabling self-optimizing networks. Discover methods for building quality data foundations in this e-book.

The telecom industry faces pressure to deliver seamless connectivity while managing complex networks. Data debt—fragmented, siloed, poor-quality data—blocks service providers from fully leveraging AI for automation and autonomous operations.

This eBook examines how quality data and AI enable Autonomous Networks, addressing automation needs that could save CSPs $800M annually. Key topics include:

· Transforming raw data into AI-ready assets with data mesh architecture
· Governance, observability, and data lineage for trustworthy pipelines
· Real-world applications like churn reduction and energy savings

Break free from data debt and accelerate network autonomy—read the full eBook.

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