Amdocs has partnered with NVIDIA and Microsoft Azure to construct customized Massive Language Fashions (LLMs) for the $1.7 trillion international telecoms {industry}.
Leveraging the ability of NVIDIA’s AI foundry service on Microsoft Azure, Amdocs goals to fulfill the escalating demand for information processing and evaluation within the telecoms sector.
The telecoms {industry} processes lots of of petabytes of knowledge every day. With the anticipation of world information transactions surpassing 180 zettabytes by 2025, telcos are turning to generative AI to reinforce effectivity and productiveness.
NVIDIA’s AI foundry service – comprising the NVIDIA AI Basis Fashions, NeMo framework, and DGX Cloud AI supercomputing – offers an end-to-end resolution for creating and optimising customized generative AI fashions.
Amdocs will utilise the AI foundry service to develop enterprise-grade LLMs tailor-made for the telco and media industries, facilitating the deployment of generative AI use circumstances throughout numerous enterprise domains.
This collaboration builds on the present Amdocs-Microsoft partnership, guaranteeing the adoption of purposes in safe, trusted environments, each on-premises and within the cloud.
Enterprises are more and more specializing in growing customized fashions to carry out industry-specific duties. Amdocs serves over 350 of the world’s main telecom and media corporations throughout 90 nations. This partnership with NVIDIA opens avenues for exploring generative AI use circumstances, with preliminary purposes specializing in buyer care and community operations.
In buyer care, the collaboration goals to speed up the decision of inquiries by leveraging data from throughout firm information. In community operations, the businesses are exploring options to handle configuration, protection, or efficiency points in real-time.
This transfer by Amdocs positions the corporate on the forefront of ushering in a brand new period for the telecoms {industry} by harnessing the capabilities of customized generative AI fashions.
(Picture by Danist Soh on Unsplash)
See additionally: Wolfram Research: Injecting reliability into generative AI
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