How AI is Transforming Telecoms Virtual Event - 27 Nov 2024 - Agenda

Artificial intelligence, when deployed at scale, can help telcos protect core revenues and drive margin growth. But capturing this opportunity will require a wholly different approach.

McKinsey & Company, February 2024

Join our virtual event to discover the latest methodologies and real life examples of how AI can help operators run their networks more efficiently, deliver business growth, and enable better customer experience.

All times UK / London. Timings and content subject to change.

Welcome & Opening Remarks

Annie Turner, Editor, Mobile Europe

OPENING PANEL: Is AI really transforming the telecoms business?

Two years after ChatGPT made AI headline news, what impact has GenAI and AI more broadly had on transforming the telecoms industry? Are we closer to the understanding and serving customers better? Are we realistic about time scales and transformation? How big are the gains we expect and when? Are vendors struggling to keep up with the demand for AI-enabled capabilities?

PANEL: How can AI help with design, planning, implementation and the running of IT and Network elements to and in the cloud, and especially automation?

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BREAK

In conversation: Ensuring trust in autonomous networks: the role of AI in service assurance

As autonomous networking becomes more prevalent and advanced, service assurance becomes more important and so does AI’s role in it. Where are we with AI in service assurance, and what’s next?

PANEL: How far can AI go in redesigning core and transport operations?

Are automation and AI the perfect couple to change operations radically and boost both customers’ experience and operational efficiency? Is this one of the answers to greater profitability that telcos have long been searching for? Is scale the key to success?

Have telcos got the right data in the right places to harness AI?

Data provides the raw material, but how ready is it for telcos to apply AI and what needs to happen to make it fully usable? In which areas is the data the most advanced and which areas require more work? Are we trying to run before we can walk?

In conversation: Is bigger better? Large language versus telco-specific models

SK Telecom, Deutsche Telekom, e&, Singtel and SoftBank founded the Global Telco AI Alliance which collectively has about 1.5 billion customers across 50 countries. At MWC, the founders said that their models are already being optimised using their telcos’ customer service data to fine-tune the model for telco-specific questions. In June they announced a joint venture to develop and launch a multi-lingual large language model (LLM) for telcos. What progress have they made?