Amdocs unveiled significant advancements in its efforts to propel the adoption of generative AI within the $1.7 trillion telecommunications sector in collaboration with NVIDIA. The latest phase of this collaboration has achieved meaningful progress toward true carrier-scale productionatives spanning latency, accuracy, and token consumption. Amdocs has worked closely with NVIDIA to integrate NVIDIA's full-stack AI foundry service-- a collection of NVIDIA AI Foundation Models, NVIDIA NeMo??

framework and tools, and NVIDIA DGX?? Cloud that gives enterprises an end-to-end solution for creating custom generative AI models -- with Amdocs'generative AI platform, amAIz. The collaboration has focused on harnessing generative AI to transform customer experiences and deliver operational efficiencies.

Amdocs leveraged NVIDIA DGX?? Cloud to test and tune multiple models, while using NVIDIA NIM microservices, a part of the NVIDIA AI Enterprise software platform, to rapidly deploy models for seamless, scalable inference with industry-standard APIs. In joint GenAI projects using Amdocs' telco taxonomy and generative AI expertise, the collaborative work has achieved: Decreased Costs to Operate: Amdocs' telecom retrieval-augmented generation (RAG) on NVIDIA infrastructure has enabled the reduction of tokens consumed for deployed use cases by as much as 60% in data pre-processing and 40% in inferencing, offering the same level of accuracy with a significantly lower cost per token depending on various Influences and volumes used.

Latency Enhancements: The collaboration has successfully reduced query latency by approximately 80%, ensuring end users experience near real-time responses. This acceleration enhances user experiences across commerce, care, operations, and beyond. Accuracy Improvements: The engagement has also delivered noteworthy increases in the accuracy of AI-generated responses, improving the accuracy of responses by up to 30%.

This type of improvement is pivotal for achieving widespread telco industry adoption and meeting the demands of direct-to-consumer generative AI services.