AI Solutions for Telecom Operations

Generative AI transforms customer experience, network operations, and business insights.

Introduction
Use Cases
Success Stories
News and Events
Technology
Resources
Partners
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Introduction
Use Cases
Success Stories
News and Events
Technology
Resources
Partners
Get Started

Transform Customer Care, Streamline Network Operations, and Gain Value From Your Data

Telcos across the globe are realizing cost savings and new levels of operational efficiency by adopting generative AI, AI and machine learning across their business. From improving customer experiences and optimizing complex network operations with AI to extracting business insights through data science, telcos are unlocking new ways to positively impact their bottom line.

New “State of AI in Telecom” 2025 Report Shows AI Deployment Momentum

NVIDIA’s "State of AI in Telecom" 2025 report–featuring insights from 450+ telecom professionals–found increasing AI integration across customer experience, employee productivity and network operations.

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Telecom Leaders Share 10 Key Generative AI Applications

Find out how generative AI is transforming customer experience, network operations, and more from key software providers and system integrators in the telecom industry.

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Use Cases

Discover How AI Is Improving Telecom Operations

Customer Experiences

Satisfied customers drive brand loyalty and are essential for sustainable growth. AI and machine learning generate actionable insights on behaviors that can improve the customer experience. Through technologies such as NVIDIA ACE, NVIDIA NIM™, generative AI, speech AI, and recommender systems, customer engagements can be enhanced with digital voice agents and personalized interactions, including payment alerts and promotional offers.

Network Planning and Operations

Harness the power of AI and the metaverse.

AI is reshaping the way telco operators run their networks. Generative AI lets telcos interact with their networks in new, powerful ways, such as responding to queries on critical issues, identifying incidents within specified timeframes, and recommending solutions. And when field technicians are called out to the physical network, dynamic route optimization and virtual field agent assistants improve the speed and accuracy of service, enhancing customer satisfaction while reducing travel time and fuel costs.

New tools for network planning are also unlocking efficiencies. Digital twins can be used to test scenarios and asset placement within a 3D, true-to-reality model before expensive investments are made in the physical world.

Accelerated Data Science

Shorten time to business insights and actions.

The telecommunications industry has access to vast amounts of data generated by networks, customers, and operations. But data alone isn't enough to gain a competitive advantage. The real value lies in the insights that can be derived from it through data science.

Using advanced analytics and machine learning, telecom operators can extract valuable insights to improve network performance, customer experiences, and operational efficiency. The NVIDIA AI Enterprise software suite enables quicker time to results for AI and machine learning initiatives, while improving cost-effectiveness. Telcos can reduce cloud costs for use cases such as customer churn prediction, predictive maintenance of network equipment, advanced security, fraud detection, and much more.

Success Stories

Explore the Real-World Impact

Learn from ‌telecom providers using AI to optimize processes, improve customer satisfaction, and trim costs.

AT&T Supercharges Operations With NVIDIA AI

AT&T adopts NVIDIA AI to process data more efficiently, optimize service-vehicle routing, and create digital twins and avatars.

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T-Mobile Leverages Speech AI for Award-Winning Customer Care

T-Mobile offers award-winning customer service in their Customer Experience Centers and aims to never have customers repeat themselves. To empower their frontline agents, T-Mobile implemented Expert Assist. This AI-based software transcribes real-time customer conversations and recommends solutions to thousands working on the frontline.

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Korea Telecom Trains Smart Speakers, Customer Call Centers With NVIDIA AI

South Korea’s leading mobile operator builds billion-parameter large language models trained with the NVIDIA DGX SuperPOD™ platform and NeMo™ framework. The AI-powered speaker from KT can control TVs, offer real-time traffic updates, and complete a slew of other home-assistance tasks based on voice commands.

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Test

Image courtesy of Korea Telecom

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Ask AT&T was originally built on OpenAI’s ChatGPT functionality. But Ask AT&T is also interoperable with other large language models (LLMs), including Meta’s LLaMA 2 and the open-source Falcon transformers. We’re working closely with NVIDIA to build and customize LLMs. Different LLMs are suited for different applications and have different cost structures, and we’re building that flexibility and efficiency in from the ground floor.

– Andy Markus, Chief Data Officer, AT&T

With NVIDIA® Riva services, fine-tuned using T-Mobile data, we’re building products to help us resolve customer issues in real time. After evaluating several automatic speech recognition (ASR) solutions, T-Mobile has found Riva to deliver a quality model at extremely low latency, enabling experiences our customers love.

– Matthew Davis, Vice President of Product and Technology, T-Mobile

The collaboration between NVIDIA and HEAVY.AI [on telco digital twins] enables telcos to make nationwide business decisions through a single pane of glass with up-to-the-minute insights. This ensures telcos are realizing better return on their investments made on networks.

– Jon Kondo, CEO, HEAVY.AI

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News and Events

Telecom Leaders Call Up NVIDIA Agentic AI to Improve Network Operations

Amdocs, BubbleRAN, ServiceNow, SoftBank and Tech Mahindra harness NVIDIA AI Enterprise to develop large telco models and new network AI agents.

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Wireless radio tower against backdrop of sunset over cloud-covered mountains with trees.

NVIDIA Digital Human Technologies Enhance Customer Interactions

New interactive experiences demonstrate how generative AI can impact customer service across industries.

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Amdocs Accelerates Generative AI Performance and Lowers Costs With NVIDIA NIM

Amdocs is using an LLM-based solution for billing inquiries to transform customer experiences in telecom contact centers. Learn how they improved the accuracy of AI-generated responses and used NVIDIA NIM to reduce tokens consumed and query latency.

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Technology

Optimize Your Operations With AI

Learn about the technology powering new levels of insight and efficiency in telecoms.

Generative AI

The combination of accelerated computing and generative AI is set to transform telcos’ customer experience, network operations, and productivity. Telcos can train diagnostic AI models with proprietary network and equipment data and services to boost performance monitoring, diagnostics, and security. Generative AI applications bring new levels of support to agents in the call center and technicians in the field with faster resolution and personalized offers.

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Speech AI and Avatars

Telcos are introducing speech AI-based applications—such as agent assists, virtual assistants, and digital avatars—to improve customer service, self-service, and satisfaction. But building highly scalable speech AI-based applications that learn from conversations, detect customer preferences, make personalized recommendations, and engage dynamically in real time isn’t easy. With NVIDIA ACE, telcos can build accurate, real-time speech and translation AI applications with customizable pipelines that seamlessly integrate with telco workflows.

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Accelerated Data Processing

Data science workflows have traditionally been slow and cumbersome, relying on CPUs to load, filter, and manipulate data and train and deploy models. The NVIDIA RAPIDS™ Accelerator for Apache Spark automatically replaces operations with GPU-accelerated versions without any code changes or risk, since you can revert back to your previous infrastructure at any time. Run existing Apache Spark 3.x jobs 5X faster than CPU-only systems, with up to 75 percent less cost and realized energy savings, enabling efficient customer churn prediction, network anomaly detection, fraud detection, and more.

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Resources

Take a Deeper Dive Into AI Solutions for Telecom Operations

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Generative AI Explained

Generative AI describes technologies that are used to generate new content based on a variety of inputs. It uses neural networks to identify patterns and structures within existing data to generate new content such as images, words, and computer code. In this course, you'll learn generative AI concepts, applications, as well as the challenges and opportunities of this exciting field.

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Get Started With Highly Accurate Custom ASR for Speech AI

Learn how to build, train, fine-tune, and deploy a GPU-accelerated automatic speech recognition (ASR) service with NVIDIA Riva that includes customized features.

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NVIDIA Training

Our expert-led courses and workshops provide learners with the knowledge and hands-on experience they need to unlock the full potential of NVIDIA solutions. NVIDIA Training offers customized training plans designed to bridge technical skill gaps and provide relevant, timely, and cost-effective solutions for an organization's growth and development.

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NVIDIA Developer Program

Connect with millions of like-minded developers and access hundreds of GPU-accelerated containers, models, and SDKs—all the tools necessary to successfully build apps with NVIDIA technology—through the NVIDIA Developer Program.

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