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From automation to autonomy: accelerating autonomous networks with closed loop intelligence

Telecommunications networks now underpin every aspect of modern life, yet as 5G rollouts accelerate and 6G looms, operators face a costly reality.

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From reactive to predictive: AI-powered common cause analysis stops problems from spreading

Over the past year, major telecom outages - from BT in the UK to Optus in Australia and AT&T in the US - have disrupted emergency services, businesses, and millions of users. Common causes? Configuration errors, cascading failures, and slow root cause analysis.

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Why AI projects fail without the right data - and what it means for telecoms

A recent Gartner press release warns that poor data quality is jeopardizing enterprise AI efforts. With 63% of organizations unprepared or unsure about their data's readiness for AI, Gartner predicts that by 2026, 60% of AI projects lacking proper data management will be abandoned.

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Digital twins. Reduce the risk, plan for the unpredictable

A true digital twin isn’t just a mirror of reality, it’s a model that understands it. By adding meaning and relationships to data, semantic digital twins turn observation into action and create the foundation for trustworthy automation.

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AI-driven operations aren't optional, they're survival. How to cut OPEX by 25% while network complexity explodes

As telecom networks grow more complex and customer expectations rise, Communications Service Providers (CSPs) face a stark reality: AI-driven operations are no longer a strategic luxury - they’re a survival imperative.

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