Ross McWalter

Participants will work with an autonomous system that enhances customer service using AI models specialized in telecom terminology and issues. It leverages AWS Trainium chips and SageMaker to fine-tune Llama models with real customer data.

As South Korea’s largest wireless carrier with over 30 million customers, SK Telecom is pioneering generative AI solutions to elevate customer experiences and drive operational efficiency.

Telcos are racing to invest in generative AI and find the best use cases to support their customers and businesses. In this workshop, use AWS AI/ML and generative AI tools to explore some of the most promising use cases for telcos.

Join this workshop to learn how communication service providers (CSPs) can break free from data silos and democratize their data to generate insights using AI/ML and data analytics services. Explore three different use cases in telecom-relevant datasets: predictive maintenance, optimizing the network for slicing and performance, and customer service with predictive analytics.

Did you know that you can leverage machine learning to solve problems like fraud detection, churn prediction, and even self-healing to improve customer experience? Join this session to learn about different use cases where Amazon SageMaker and Amazon QuickSight have been utilized to facilitate anomaly detection and apply self-correcting procedures.