TelecommunicationsGenerative AIPublic Cloud

Amdocs Builds Generative AI Agents for Telecom

AmdocsNVIDIA DGX Cloud · NVIDIA AI Enterprise · NVIDIA NIM +2

Amdocs built amAIz, a domain-specific generative AI platform helping telecom companies transform customer experiences, automate processes and optimize decision-making, using NVIDIA DGX Cloud, NVIDIA AI Enterprise software, NVIDIA NIM inference microservices, and NVIDIA Nemotron open-source reasoning models. amAIz agents, enhanced with NVIDIA's Llama Nemotron, autonomously handle complex multistep customer journeys spanning sales, billing and care. Using NVIDIA NIM microservices and telecom-based retrieval-augmented generation, Amdocs reduced tokens consumed by as much as 60 percent for data preprocessing and up to 40 percent for inferencing, and reduced query latency by approximately 80 percent.

Overview

Amdocs built amAIz, a domain-specific generative AI platform helping telecom companies transform customer experiences, automate processes and optimize decision-making, using NVIDIA DGX Cloud, NVIDIA AI Enterprise software, NVIDIA NIM inference microservices, and NVIDIA Nemotron open-source reasoning models. amAIz agents, enhanced with NVIDIA's Llama Nemotron, autonomously handle complex multistep customer journeys spanning sales, billing and care. Using NVIDIA NIM microservices and telecom-based retrieval-augmented generation, Amdocs reduced tokens consumed by as much as 60 percent for data preprocessing and up to 40 percent for inferencing, and reduced query latency by approximately 80 percent.

The challenge

Telecom companies need to transform customer experiences, automate processes, and optimize decision-making, while managing the cost and latency of deploying generative AI at scale for complex, multistep customer journeys spanning sales, billing and care.

The solution

Amdocs built amAIz, a domain-specific generative AI platform, using NVIDIA DGX Cloud and NVIDIA AI Enterprise software to develop and deliver solutions based on commercially available and domain-adapted LLMs, NVIDIA NIM inference microservices to accelerate deployment, and NVIDIA Nemotron open-source reasoning models. amAIz agents, enhanced with NVIDIA's Llama Nemotron, autonomously handle complex multistep customer journeys, using telecom-based retrieval-augmented generation on NVIDIA infrastructure.

Generative AIRetrieval-Augmented GenerationAgentic AI

Reported business value

Using NVIDIA NIM microservices, Amdocs reduced the number of tokens consumed for deployed use cases by as much as 60 percent for data preprocessing and up to 40 percent for inferencing, achieving the same accuracy at lower cost per token. The collaboration also reduced query latency by approximately 80 percent, delivering near-real-time responses.

Sources

Open any source and check the claim yourself — that is the point of the register.

This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)

Related entries

Other telecommunications entries in the register.

All entries
TelecommunicationsComputer VisionUnknown

AI serves QoS & operational efficiency

Orange France deployed AI-based tools across its network operations to improve quality of service and operational efficiency, including the Recovisu diagnostic tool that helps technicians correct errors during interventions, automated frequency declarations with the National Frequency Agency, AI-driven preventive maintenance for equipment such as antenna batteries, and an AI-evaluated citizen infrastructure-damage-reporting app. The NRJ5G app analyzed consumption data to prevent unnecessary mobile site electrical subscription upgrades, saving nearly 48 million.

92/100HighPrimary source
Orange France· FranceRecovisu · NRJ5G
TelecommunicationsAgentic AIPublic Cloud

Deutsche Telekom and Google Cloud Collaborate on MINDR Agentic AI for Autonomous Network Operations

Deutsche Telekom, in partnership with Google Cloud, announced MINDR (Multi-Agentic Intelligent Network Diagnostics & Remediation), a multi-agentic AI system built with Google Gemini models on Vertex AI and developed with Google Cloud's Autonomous Network Operations framework. MINDR correlates signals end-to-end across the RAN, transport, and core network domains to proactively identify service-impacting issues and support autonomous, explainable remediation, shifting operations from reactive troubleshooting to predictive automation. MINDR builds on Deutsche Telekom's RAN Guardian Agent, live in production in Germany since November 2025, which monitors network behavior during high-impact events and traffic surges. RAN Guardian autonomously triggered over 100 remediation actions at Christmas market events in its first month and reduced the time needed to manage major events from hours to around a minute (a more than 95% improvement). For 2026 it identified 237,000 events, including around 130 Carnival events each expected to draw over 10,000 participants, served by 611 mobile sites pre-checked for issues; only 5 sites experienced peak loads, which RAN Guardian optimized during the event. RAN Guardian is now scaling across Deutsche Telekom's European national companies, starting with the Czech Republic and Croatia. MINDR's first production releases are planned for later in 2026.

96/100HighPrimary source
Deutsche Telekom· GermanyGoogle Gemini · Google Vertex AI
TelecommunicationsGenerative AIPublic Cloud

Chunghwa Telecom Builds Multiple Generative AI Solutions with Amazon Bedrock

Chunghwa Telecom, one of Taiwan's largest integrated telecom providers, migrated its generative AI projects to Amazon Bedrock and built three applications: a software development lifecycle documentation assistant, an interactive virtual English teacher using Amazon Titan and Stable Diffusion XL, and a generative AI marketing assistant built on Amazon Personalize.

96/100HighPrimary source
Chunghwa Telecom· TaiwanAmazon Bedrock · Amazon Titan · Stable Diffusion XL +3
TelecommunicationsGenerative AIPublic Cloud

BT Group writes and maintains 2 million lines of code a year using Amazon Q Developer

BT Group, a UK telecommunications company, rolled out Amazon Q Developer to around 2,000 active developers for AI-assisted coding, chat-based troubleshooting, automated unit test generation, and code transformation from older to newer, more secure versions.

96/100HighPrimary source
BT GroupAmazon Q Developer

Was this helpful?

Your feedback helps us improve our use case database