Introducing Dell AI for Telecom

Imagine this: Faster, self-optimizing networks, chatbots answering queries accurately in multiple languages in real-time and intelligent services uniquely tailored to industries like manufacturing, retail, healthcare and energy.

For communications service providers (CSPs), these futuristic ideas are becoming a reality thanks to artificial intelligence (AI). AI is helping CSPs tackle the "beyond human scale" challenge of their intricate networks, allowing them to monitor, optimize and fix network and business functions in real-time, 24/7. While monetizing the Enterprise Edge is beginning to gain traction, AI offers a powerful way to leverage their distributed infrastructure by hosting AI applications across various verticals.

The Impact of AI on Telecom

A major research effort revealed that 95% of telecoms are engaged with AI, though for most it is early days and efforts are nascent. In addition, 65% of CSPs agreed that AI is important to their company's success, with 60% expecting AI to help them optimize operations, 44% expecting cost reductions, 35% believing AI will enhance customer service and 31% estimating AI will help them meet revenue targets.

To support AI workloads across the entire network-whether at a remote cell site, an enterprise or a data center-CSPs need a robust ecosystem. Building the perfect AI infrastructure involves more than deploying a GPU-equipped server or loading an application; it requires a harmonious blend of hardware, software and expertise. CSPs need the right partner to turn their innovative ideas into tangible ROI.

AI from Core to Edge with NVIDIA

The Dell AI Factory with NVIDIA framework offers organizations greater control over proprietary data and scales efficiently, providing a cost-effective alternative to many public cloud solutions. Combining NVIDIA's AI-ready GPUs, networking and tools like AI Enterprise and Omniverse with Dell's hardware and expertise accelerates and optimizes AI deployments across the network.

Dell Technologies and NVIDIA can help CSPs to develop infrastructure that can handle these AI workloads, whether in their data centers or at the edge. Combining Dell's compute, storage, client device, software and services capabilities with NVIDIA's advanced AI infrastructure and software suite, it gives CSPs the necessary building blocks to run any AI workload, anywhere.

Our data center solutionsinclude:

1. Enhancing CSP operations and customer engagement with Amdocs. Amdocs amAIz Copilots is the only industry-specific AI assistants that seamlessly integrate with telecom systems. Capable of providing highly contextual, human-like interactions, they leverage a verticalized telecoms taxonomy for accuracy, while advanced governance features ensure their answers remain compliant and trusted. These AI-driven copilots can automate tasks and provide real-time insights, enhancing service delivery and operational efficiency.
2. Network troubleshooting and analysis with Kinetica. An advanced conversational AI powered by Kinetica, SQL-GPT allows everyday language, rather than SQL commands, to be used for complex data queries. It offers unmatched speed, accuracy and scalability across 5G and OpenRAN environments, providing real-time data analysis that accelerates decision-making.
3. Accelerating digital transformation with Iternal. Iternal's AI solution leverages patented technology to transform the content creation process. Its modular, scalable solution automates content production that's consistent, up- to-date and can be translated into multiple languages at a click of a button, enhancing user productivity.
4. Network stress testing and predictive maintenance with Synthefy. Synthefy uses GenAI to unlock insights from rich time series data, enabling a network operator to request predicted outcomes and demand forecasts based upon specific prompts. This can be used to stress test systems, plan for capacity and detect anomalies.

Our edge solutionsinclude:

1. AI-powered production. NVIDIA DeepStream SDK is a complete streaming analytics toolkit that enables a faster, simpler way of developing AI vision-based imaging applications that can be deployed at the edge. IoT sensors capture, decode and process data on the manufacturing floor and transfer to AI inferencing models to produce real-time analytics and actions.
2. Computer vision and GenAI. The PowerEdge XR8000's 2U SLED based, multi-node, flexible and rugged compute platform is ideal for demanding computer vision, AI/ML and GenAI edge applications. Edge AI cybersecurity with the NVIDIA Morpheus framework supports real-time data monitoring with AI and threat detection.

Join the Future of Telecom with Dell AI

Tomorrow's networks will be built on an AI foundation, and Dell AI for Telecom is at the forefront of this revolution. To learn more about the program, meet us at Mobile World Congress in Las Vegas, Nevada, on October 8 to 10 or visit our booth at Futurecom in Sao Paulo, Brazil, on October 8 to 10. Can't make it in person? Join the conversation on LinkedIn on October 10.

Discover more at our Dell AI for Telecom website.

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