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Amdocs Unveils Generative AI Milestones, Bringing Enhanced Efficiencies to the Telecommunications Industry

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Amdocs, in collaboration with NVIDIA, has made significant advancements in generative AI technology for the telecommunications sector. The partnership has led to reduced costs, improved latency, and enhanced accuracy in AI-generated responses. By leveraging NVIDIA's AI solutions, Amdocs aims to transform customer experiences and drive operational efficiencies in the telecommunications industry.

Positive
  • Amdocs has achieved decreased costs to operate by reducing tokens consumed for deployed use cases by up to 60% in data pre-processing and 40% in inferencing, while maintaining accuracy levels.

  • The collaboration has successfully reduced query latency by approximately 80%, ensuring near real-time responses for end users.

  • The accuracy of AI-generated responses has been improved by up to 30%, enabling better outcomes and widespread adoption in the telco industry.

Negative
  • None.

Service providers can see improvements in return-on-investment, costs, speed, and customer experiences at carrier-grade scale as a result of Amdocs' generative AI innovation in collaboration with NVIDIA

JERSEY CITY, NJ / ACCESSWIRE / May 8, 2024 / Amdocs (NASDAQ:DOX), a leading provider of software and services to communications and media companies, today unveiled significant advancements in its efforts to propel the adoption of generative AI within the $1.7 trillion1 2 telecommunications sector in collaboration with NVIDIA. The latest phase of this collaboration has achieved meaningful progress toward true carrier-scale production imperatives 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.

"These achievements are not just milestones but are critical in reshaping the telecommunications landscape," said Anthony Goonetilleke, Group President of Technology and Head of Strategy at Amdocs. "Collaborating with NVIDIA supports our advanced LLM routing capabilities, ensuring that generative AI tasks are matched with the ‘best fit' LLM, and improving outcomes as a result. Our work speaks to our goal of proving the business value of generative AI, including driving down costs, improving accuracy of results, and delivering tangible benefits to service providers and their customers."

"By combining Amdocs' generative AI platform and telecommunications industry expertise with NVIDIA's full-stack AI foundry service including NVIDIA NIM, we are enabling meaningful scale of generative AI in telcos, accelerating time to value, and driving positive return on investment," said Chris Penrose, Global Head of Telco Business Development at NVIDIA. "This collaboration is helping to transform how the telecom industry operates, paving the way for a more connected and intelligent future."

1 Source: IDC (International Data Corporation), OMDIA, Factset analyses of Telecom 2022-2023 revenue.

2 Source: OMDIA 2022 revenue estimates, excludes China.

Supporting Resources

About Amdocs
Amdocs helps those who build the future to make it amazing. With our market-leading portfolio of software products and services, we unlock our customers' innovative potential, empowering them to provide next-generation communication and media experiences for both the individual end user and enterprise customers. Our approximately 29,000 employees around the globe are here to accelerate service providers' migration to the cloud, enable them to differentiate in the 5G era, and digitalize and automate their operations. Listed on the NASDAQ Global Select Market, Amdocs had revenue of $4.89 billion in fiscal 2023. For more information, visit www.amdocs.com.

Amdocs' Forward-Looking Statement
This press release includes information that constitutes forward-looking statements made pursuant to the safe harbor provision of the Private Securities Litigation Reform Act of 1995, including statements about Amdocs' growth and business results in future quarters and years. Although we believe the expectations reflected in such forward-looking statements are based upon reasonable assumptions, we can give no assurance that our expectations will be obtained or that any deviations will not be material. Such statements involve risks and uncertainties that may cause future results to differ from those anticipated. These risks include, but are not limited to, the effects of general macro-economic conditions, prevailing level of macroeconomic, business and operational uncertainty, including as a result of geopolitical events or other global or regional events such as the recent attacks in Israel and evolving conflict and the COVID-19 pandemic, as well as the current inflationary environment, and the effects of these conditions on the company's customers' businesses and levels of business activity, including the effect of the current economic uncertainty and industry pressure on the spending decisions of the company's customers, Amdocs' ability to grow in the business markets that it serves, Amdocs' ability to successfully integrate acquired businesses, adverse effects of market competition, rapid technological shifts that may render the Company's products and services obsolete, potential loss of a major customer, our ability to develop long-term relationships with our customers, our ability to successfully and effectively implement artificial intelligence and Generative AI in the company's offerings and operations and risks associated with operating businesses in the international market. Amdocs may elect to update these forward-looking statements at some point in the future; however, Amdocs specifically disclaims any obligation to do so. These and other risks are discussed at greater length in Amdocs' filings with the Securities and Exchange Commission, including in our Annual Report on Form 20-F for the fiscal year ended September 30, 2023 filed on December 13, 2023 and our Form 6-K furnished for the first quarter of fiscal 2024 on February 20, 2024.

Media Contacts
Michael Zema
Amdocs Public Relations
E-mail: mzema@amdocs.com

Emily Holt
PAN Communications for Amdocs
Email: amdocs@pancomm.com

SOURCE: Amdocs Management Limited



View the original press release on accesswire.com

FAQ

What advancements has Amdocs made in collaboration with NVIDIA?

Amdocs has made significant advancements in generative AI technology for the telecommunications sector in collaboration with NVIDIA.

How has Amdocs reduced costs to operate?

Amdocs has reduced tokens consumed for deployed use cases by up to 60% in data pre-processing and 40% in inferencing, while maintaining accuracy levels.

What improvements have been made in latency?

The collaboration has successfully reduced query latency by approximately 80%, ensuring near real-time responses for end users.

How has the accuracy of AI-generated responses improved?

The accuracy of AI-generated responses has been improved by up to 30%, enabling better outcomes and widespread adoption in the telco industry.

Amdocs Limited

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