Amdocs brings generative AI into network ops

Amdocs creats amAIz framework to add generative AI capabilities to telco ops use cases.

Amdocs has said it now has “a generative AI framework for telcos” with the launch of amAIz, a framework which combines “carrier-grade architecture” with large language AI models.

The company said that amAIz (Amaze) includes templates, tooling and infrastructure to bring generative AI to telco use cases such as customer engagement and service catalogues. Amdocs said that it has also designed templates for its Intelligent Networking Suite and Smart Operations use cases.

Applying generative AI to its Intelligent Networking Suite would enable operators to accelerate the design of context-aware network functions, while its Smart Operations could be augmented by access to real-time experience data to accelerate decision-making, and achieve zero-touch operations.

The company recenly announced a strategic partnership expansion with Microsoft, which included the joint creation of a Customer Engagement Platform that can create network-aware solution proposals and architectural configurations, based on natural language and customer context inputs.

Amdocs hopes the framework will assist and accelerate operators’ ability to “explore, assist, generate, and recommend” activities across the customer and operations lifecycle.

Anthony Goonetilleke, Group President of Technology and Head of Strategy, Amdocs, said: “Generative AI technology presents a tremendous opportunity for service providers to re-invent both the way they engage with customers, as well as driving efficiencies. Our investment in the amAIz framework reflects our belief in generative AI’s promise and the need for enterprise-grade security, reliability and performance.”

The company recenly annouced a strategic partnership expansion with Microsoft, which included the joint creation of a Customer Engagement Platform that can create network-aware solution proposals and architectural configurations, based on natural language and customer context inputs.