The News: Amdocs and NVIDIA announced they are collaborating to optimize large language models (LLMs) to speed adoption of generative AI applications and services across the $1.7 trillion telecommunications and media industries. Read the full press release on the Amdocs website.
Amdocs and NVIDIA Ready to Power Telco Generative AI Use Cases
Analyst Take: Amdocs and NVIDIA are working together to customize enterprise-grade LLMs running on NVIDIA accelerated computing as part of the Amdocs amAIz framework. The collaboration seeks to empower communications service providers (CSPs) to deploy generative AI use cases across their businesses, including network provisioning and customer experiences.
Amdocs will use NVIDIA DGX Cloud AI supercomputing and NVIDIA AI Enterprise software to support flexible adoption strategies and help ensure CSPs can safely use generative AI applications. Alongside Amdocs’ strategy of advancing generative AI use cases across the industry, the collaboration with NVIDIA builds on the existing Amdocs-Microsoft partnership. CSPs and media companies can adopt these applications in trusted environments, including on premises and in the cloud.
With these new capabilities, including the NVIDIA NeMo framework for custom LLM development and guardrail features, CSPs can benefit from enhanced performance, optimized resource utilization, and flexible scalability to support their evolving requirements.
Of key interest, initial use cases span customer care, including resolution of customer inquiries by drawing more information from company data. On the network operations side, the partners are exploring how to proactively generate solutions that aid configuration, coverage, or performance issues as they occur.
In my view, Amdocs amAIz delivers carrier-grade architecture using open source technology with LLM AI models, grounded on TM Forum’s Telco Taxonomy aimed at enabling CSPs to directly benefit from generative AI in a secure and trusted way. We are seeing that the use of generative AI in CSP customer care centers can improve resolution rates and reduce time spent handling issues and requests to speak to a manager. Through its alliance with NVIDIA, Amdocs becomes better positioned to aid CSPs in the automation of personalized assistants, service ticket routing, and other use cases. As such, I foresee that the application of generative AI to customer care functions has the potential to increase productivity in a lasting, sustainable way.
For network operations, the generative AI use case is unfolding more and, I expect, can provide the breakthrough capabilities key to swiftly accelerate and broaden CSP adoption of generative AI. CSPs are committed to finding efficient methods to administer the intricacies of cloud-native modern networks with AI and intent-based capabilities becoming integral to their strategies. This functionality includes ensuring quality of service (QoS) metrics can fully ensure network performance for top-priority applications such as telco-verticalized Dynamics 365 Sales/Service/Marketing assistants, B2B solutions sales assistants, and ChatGPT-like self-service experiences.
As a result, I think that Amdocs can play a proactive role in driving greater ecosystem support for standards-based implementations, such as the TM Forum 921 intent management API, which can prove critical to fully modeling and expressing service quality attributes using AI engines that further augment the autonomous management of network performance, including the analytics and optimization of CSP operations.
Key Takeaway: Amdocs NVIDIA Alliance Advances Telco GenAI Journey
Overall, I expect that Amdocs and NVIDIA can deliver a well-differentiated platform that meets the swiftly evolving generative AI demands of telcos. The combination of Amdocs amAIz AI framework with NVIDIA’s AI infrastructure, software, and ecosystem produces the sales and marketing boost critical to gaining CSP mindshare across the nascent generative AI telco market segment.
Disclosure: The Futurum Group is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.
Analysis and opinions expressed herein are specific to the analyst individually and data and other information that might have been provided for validation, not those of The Futurum Group as a whole.
Other Insights from The Futurum Group:
DTW23: Amdocs and OCI Provide Telcos More Cloud Agility
Amdocs Announces a Telecom-Specific Generative AI Framework
Netcracker Debuts GenAI Telco Solution to Power Use Case Innovation
Author Information
Ron is an experienced, customer-focused research expert and analyst, with over 20 years of experience in the digital and IT transformation markets, working with businesses to drive consistent revenue and sales growth.
He is a recognized authority at tracking the evolution of and identifying the key disruptive trends within the service enablement ecosystem, including a wide range of topics across software and services, infrastructure, 5G communications, Internet of Things (IoT), Artificial Intelligence (AI), analytics, security, cloud computing, revenue management, and regulatory issues.
Prior to his work with The Futurum Group, Ron worked with GlobalData Technology creating syndicated and custom research across a wide variety of technical fields. His work with Current Analysis focused on the broadband and service provider infrastructure markets.
Ron holds a Master of Arts in Public Policy from University of Nevada — Las Vegas and a Bachelor of Arts in political science/government from William and Mary.
