OSS: Why trusted data matters as a catalyst for AI modernisation

As operators look to make greater use of AI, modernising their OSS is becoming more important than ever. But moving away from complex legacy systems towards AI-native operations can be a bit of a puzzle.

This report, written by telecoms analyst, Dawn Bushaus, explains why OSS modernisation matters and what operators need to do to make AI-native operations a reality.

It explores the challenges of bringing together data from different systems, building a shared understanding of network operations and putting the right orchestration and governance in place so that AI agents can act reliably and securely.

The report also explains how operators are addressing these challenges, with examples from AT&T, Orange Business and Telefónica Deutschland. It explores how they are using AI to simplify older systems, improve services and move towards more autonomous operations.

Meanwhile, the report closes with five practical recommendations to help CSPs modernise their OSS, decide where to start, set priorities and move towards AI-native networks.

Some key facts in the report

75%

of telco CEOs say outdated IT systems are holding back innovation in their businesses.

“AI is only as effective as the operational knowledge it can access. That requires much more than collecting data.”

Eva Ulicevic- Director of Architecture, Strategy and Technology Enablement, Telefónica Deutschland

70% - 80%

of the data that is being collected is not being used for anything meaningful

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OSS: Why trusted data matters as a catalyst for AI modernisation

Some key facts in the report

75%​

“AI is only as effective as the operational knowledge it can access. That requires much more than collecting data.”​

70% - 80%​

Get the report

75%

“AI is only as effective as the operational knowledge it can access. That requires much more than collecting data.”

70% - 80%