Telcos are at an inflection point. With increasing pressures to meet rising customer expectations, reduce agent turnover, lower costs and increase revenues, CSPs are turning to the opportunities offered across the board, including traditional and generative AI.
While AI can be the catalyst for transformation and can help elevate customer services and optimize network automation, it is essential to understand how to scale AI models in a responsible and trusted way.
In the news: GSMA and IBM collaborate to Accelerate AI adoption and skills for the telco sector
Find out why responsible AI is essential to transforming customer service in telecom
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Establish telecom network assurance and zero touch for end-to-end network operations.
Translate raw performance data into actionable insights with system-wide visibility for managing service performance.
Deploy and run apps with low latency, security and data privacy across the hybrid cloud.
Protect the networks to gain trust for enterprise critical workloads.
With MLOps and Trustworthy AI, automate data collection and model building, deployment, and governance to drive trust across the AI lifecycle.
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