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Telco Transformation and Future of Networks
Year-in-Review: Key Takeaways
Telcos spent significant time reimagining customer experience, driven by the growing interest and applicability of generative AI
Digitizing industry use cases has been challenging, with limited scalable and deployable solutions across geographies
However, there has been no lack of bold bets from telco leaders around generative AI and network modernization
The Telco Flywheel
The telco flywheel is centered around the network capabilities driving product experiences, which in turn drives usage and further network optimization
Generative AI is impacting this flywheel by:
Automating and optimizing engineering efforts in network operations and product development
Potential to drive down network costs, enabling better products and experiences
Barriers to Adoption
Moving from POCs to production use cases has been challenging due to:
Lack of scalable solutions and infrastructure
Difficulty in managing data and model governance
Rapid ecosystem changes requiring constant testing and evaluation
AWS Capabilities to Enable Telco Transformation
Providing managed services like Amazon Bedrock to help builders create and govern generative AI applications
Offering SageMaker and other platforms for telcos to train and fine-tune models
Investing in silicon like Trainium and Inferentia to drive down the cost of inference and training
Customer Successes
SK Telecom's deployment of a fine-tuned language model for customer service, resulting in improved response times, uniformity, and agent satisfaction
O2 UK's integration of Amazon Connect to simplify their technical stack and enable a continuous customer conversation
Telefonica's migration of 1 million subscribers to a 5G SA core running on AWS
Network Transformation
Telcos are progressively moving network workloads to the cloud, starting with less complex and less latency-sensitive functions like OSS/BSS
Newer use cases like multi-tenant MVNOs, high-availability disaster recovery, and virtual roaming gateways are enabled by cloud-native networks
AWS is investing in ARM-based Graviton processors to provide cost-effective, power-efficient infrastructure for demanding RAN workloads
New Revenue Opportunities
Telcos are exploring adjacent markets like smart home solutions, leveraging AWS IoT and generative AI to provide a seamless, intelligent experience
SMB cloud solutions are another focus area, where telcos can package AWS services with their connectivity offerings
Monetizing network assets beyond just connectivity through APIs is an emerging strategy, allowing developers to build network-enhanced applications
Key Takeaways
The journey from POCs to production use cases of generative AI in telco is challenging but worthwhile
Cloud-native network transformation is progressing, with newer use cases emerging
Telcos are seeking growth opportunities by expanding into adjacent markets and monetizing network assets
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