Telcos are at an inflection point. With increasing pressures to meet customer satisfaction expectations, reduce agent turnover, lower costs and increase revenues, communications service providers are exploring new telecom solutions—including traditional and generative AI.
While AI can no doubt help elevate customer experience and optimize network automation, it can also unlock new levels of productivity, power marketing capabilities, modernize applications and turbocharge business performance. In short, AI for telecommunications companies can be a catalyst for digital transformation and optimization.
Read on to understand how telecommunication systems can scale AI models in a responsible and trusted way, for both enterprise and small business.
In the news: GSMA and IBM collaborate to Accelerate AI adoption and skills for the telco sector
See how your telco business can drive ROI across customer service with IBM watsonx Assistant
Put AI to work for customer service
Explore IBM's telecommunications consulting services
Summarize and analyze past customer engagements, and offer personalized interactions to increase engagement and drive revenues
Quickly modernize complex, integrated applications and deliver value from day one
Streamline everyday, time-consuming tasks so telecom service providers have more time to handle complex issues
Deliver hyper-personalized messaging to the right customers in the right channels at scale
Establish telecom network assurance and zero touch for end-to-end network operations
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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