AI Solutions for Telecom

Artificial intelligence and 5G are once-in-a-generation technologies that are changing the telecom landscape. As vast amounts of data continue to be generated, telcos can use the power of AI to extract actionable insights from that data—and discover new ways to optimize complex network operations, improve customer experiences, and generate revenue.

HEAVY.AI Delivers Digital Twin for Telco Network Planning and Operations

HEAVY.AI is using NVIDIA Omniverse to help telcos optimize wireless site placements, reducing the cost and complexity of network operations and improving customer experiences.

Explore the benefits of AI in telecom.

Explore Conversational AI Solutions

Better customer experiences.

Satisfied customers drive brand loyalty and are critical for sustainable growth. AI and machine learning generate actionable insights on behaviors that can improve the customer experience. Through technologies such as conversational AI and recommender systems, AI can enhance customer engagements with voice agents and personalized interactions, including payment alerts and promotional offers.

Predictive Analytics and Forecasting Solutions

More efficient network operations.

Effective and efficient 5G network operations require real-time optimization of network parameters, traffic routing, and fault prediction and prevention. AI and machine learning applications can analyze data to deliver quality services faster, provide seamless network security in real time, improve forecasting, and enhance capacity planning, maximizing network performance and the user experience.

Reinventing Telco Services with Edge AI

New revenue streams.

Every industry is adopting AI solutions to improve their operations and bottom line. Telcos, already providing connectivity services, are uniquely positioned to offer AI services to these customers. From premium video conferencing to AI-powered call center solutions and beyond, the same solutions that enable efficiencies for operators are unlocking new enterprise AI revenue streams.

 Explore Enterprise AI Infrastructure Solutions

Efficient AI infrastructure.

As the number of AI workloads grows, cloud hybrid and on-premises infrastructure becomes essential to handle all workloads—from data science and analytics to machine learning and AI—and improve network performance, data security, and customer service. NVIDIA-Certified Systems offer unmatched performance and versatility, powering applications that can accelerate ROI, minimize risk, and drive innovation.

The Technology Conference for the Era of AI and the Metaverse

Conference & Training September 19 - 22 | Keynote September 20

The Developer Conference
for the Era of AI and the Metaverse

Conference & Training September 19 - 22 | Keynote September 20

Join us at GTC to hear how industry leaders and technology experts are leveraging AI to transform telecommunications.

  • How AT&T Supercharged Their Data Science Efforts

    • Mark Austin, VP of Data Science, AT&T
    • Jeremy FIx, AVP of Data Science, AT&T

    Telcos have some of the largest datasets in the world. AT&T’s data science team will pull back the curtain on a series of use cases that have been accelerated using GPUs and NVIDIA AI tools and frameworks.  

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  • Using AI Infrastructure in the Cloud for 5G vRAN

    • Christopher Lamb, Vice President, GPU Computing Platforms, NVIDIA

    The cellular industry spends over $90 billion annually on the radio access network (RAN), using dedicated hardware to provide capacity for peak demand. This often leads to persistent overprovisioning in many RAN sites, as only 10 percent of sites carry 50–60 percent of overall network load. Join us to learn about a game-changing approach that turns this underutilization into an opportunity, leveraging the same cloud and data centers used for AI to dynamically load share with 5G virtual RAN (vRAN).

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  • Speech-to-Text at Scale

    • Heather Nolis, Principal Machine Learning Engineer, T-Mobile
    • Sara Abdulkerim, Data Scientist, T-Mobile

    When tasked with creating the first voice-powered AI experiences for T-Mobile’s contact center, three large problems were identified: (1) How do we build and deploy automatic speech recognition (ASR) models? (2) How do we get audio from cell phones to our models in the cloud? (3) And how do we make sure our ASR models work equitably across all the varieties of speech that our experts and customers use? In this talk, we’ll walk through our model development, our efforts to identify and remove bias in our models, and the future of speech-to-text at T-Mobile.

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Fast-track your telco’s AI transformation.

NVIDIA Launchpad - The End-to-End AI Platform

Start your AI journey with NVIDIA LaunchPad.

NVIDIA LaunchPad provides immediate, short-term access to NVIDIA AI with free curated labs—from AI-powered chatbots to image classification and more.

Education and Training Solutions.

Discover training to meet your organization’s goals.

The NVIDIA Deep Learning Institute (DLI) offers hands-on training in AI, accelerated computing, and accelerated data science.

Telecommunications Solutions for 5G Networks

Explore NVIDIA solutions for the telecom industry.

From innovations in 5G vRAN and accelerated networking to edge computing and AI-on-5G, NVIDIA offers solutions for many areas of telecommunications.

Meet our AI ecosystem partners.

If you’re looking for a turnkey approach to see business benefits before building out an AI infrastructure, there’s a growing ecosystem of NVIDIA partners ready to help with customer-experience, operations, and service-delivery solutions.


Get the latest telecommunications news from NVIDIA.