CSPs In AI
Currently pushing AI results throughout telecom from the core to the edge in partnership with NVIDIA. Faster, self-optimizing networks; chatbots that respond to questions correctly and in real time in various languages; and intelligent services specially designed for sectors such as manufacturing, retail, healthcare, and energy.
Artificial intelligence (AI) is making these future concepts a reality for Communications Service Provider(CSP). AI is enabling CSPs to monitor, optimize, and correct network and business activities in real-time, around-the-clock, assisting them in overcoming the “beyond human scale” problem posed by their complex networks. Although Enterprise Edge monetization is only starting to take hold, hosting AI applications across many verticals provides a potent means of using its dispersed infrastructure.
AI on Telecom
95% of telcos are using AI, according to a significant study project, albeit most are only getting started. Additionally, 65% of Communications Service Provider(CSP) agreed that AI is critical to the success of their business, with 44% anticipating cost savings, 35% thinking AI would improve customer service, 60% anticipating operational optimization, and 31% thinking AI will help them hit revenue objectives.
Communications Service Provider(CSP) need a strong ecosystem in order to handle AI workloads across the network, whether at a data center, an enterprise, or a rural cell site. More than just installing an application or setting up a server with a GPU is needed to build the ideal AI infrastructure; a carefully calibrated combination of hardware, software, and knowledge is needed. To translate their creative ideas into measurable return on investment, CSPs need the proper partner.
NVIDIA’s AI: From Core to Edge
More control over private data is available to enterprises using the Dell AI Factory with NVIDIA architecture, which also grows well and is more affordable than many public cloud options. AI deployments throughout the network are accelerated and optimized when NVIDIA’s AI-ready GPUs, networking, and tools like AI Enterprise and Omniverse are combined with Dell’s hardware and knowledge.
Communications Service Provider(CSP) may get assistance from Dell Technologies and NVIDIA in building edge or data center infrastructure that can manage these AI workloads. It provides CSPs with the essential building blocks to execute any AI task, anywhere, by fusing NVIDIA’s cutting-edge AI infrastructure and software suite with Dell’s computing, storage, client device, software, and services capabilities.
Among the data center solutions are
Improving Communications Service Provider (CSP) operations and Amdocs customer interaction. The first AI assistant designed specifically for the telecom sector that works smoothly with telecom systems is Amdocs amazia Copilots. They use a verticalized telecommunications taxonomy for accuracy and are able to provide extremely contextual and human-like interactions. Advanced governance features make sure their responses are reliable and compliant. These AI-powered copilots may improve operational efficiency and service delivery by automating chores and offering real-time insights.
Kinetica is used for network analysis and troubleshooting. SQL-GPT is a sophisticated conversational AI powered by Kinetica that enables complicated data queries to be asked using natural language instead of SQL instructions. It provides real-time data analysis that speeds up decision-making in 5G and OpenRAN contexts with unparalleled speed, accuracy, and scalability.
Iternal is accelerating digital transformation. With the use of proprietary technology, Iternal’s AI solution revolutionizes the content production process. Its scalable, modular solution increases user productivity by automating the creation of consistent, current material that can be translated into numerous languages with a single click.
Synthefy is used for predictive maintenance and network stress assessment. With the help of GenAI, Synthefy can extract valuable insights from dense time series data, giving network operators the ability to demand predictions and anticipate outcomes in response to predetermined cues. This may be utilized for capacity planning, anomaly detection, and stress testing systems.
Among the cutting-edge options are
AI-driven manufacturing. The full NVIDIA DeepStream SDK for streaming analytics enables edge-based AI vision-based imaging applications simpler and faster to construct. IoT sensors collect, evaluate, and analyze factory floor data for real-time analytics and actions. This data is then transferred to AI inferencing models.
GenAI and computer vision. The 2U SLED-based, multi-node, versatile, and robust computing architecture of the PowerEdge XR8000 is perfect for demanding edge applications in computer vision, AI/ML, and GenAI. Real-time data monitoring with AI and threat detection is supported by Edge AI cybersecurity using the NVIDIA Morpheus framework.
Dell and NVIDIA Work Together to Use AI to Transform Telecom Networks
Dell and NVIDIA’s partnership is expanded to:
Build upon and evaluate telecom AI solutions for Communications Service Provider(CSP) in collaboration with NVIDIA and Dell AI Factory. With the aid of NVIDIA GPUs, Dell PowerEdge servers, and enterprise-level AI software, the solutions assist CSPs in utilizing AI for:
- Use the Amdocs amAIz platform to enhance network maintenance and customer service.
- Use Iternal to automate customer service procedures and contact center scripts.
- Use Kinetica SQL-GPT for network analysis and troubleshooting.
- Use Synthefy to create digital twins for networks and carry out proactive network maintenance.
Now available with NVIDIA L4 Tensor Core GPUs, the PowerEdge XR8000 server simplifies AI installations at the edge of the telecom network. The PowerEdge XR8000 servers are tiny form factors with a scalable, modular architecture that makes maintenance and deployment easier. They are built for telecom and edge use cases.
Assist CSPs in developing and implementing GPU-as-a-Service (GPUaaS) solutions so they may provide business clients NVIDIA GPU capacity on-demand. Communications Service Provider(CSP) may take advantage of new income streams and use their networks to provide carrier-grade, low latency AI inference and training closer to data by implementing infrastructure solutions tailored for corporate AI workloads. Businesses may preserve data ownership and control while scaling AI implementations and resources as required.
Communications Service Provider(CSP) may get assistance from Dell Professional Services with the planning, execution, and management of AI solutions for telecom use cases. Working Together with Network Operators to Accelerate Innovation and Adoption of AI. In order to improve user experiences and network performance, Dell is already working with CSPs in the Dell Telecom Open Ecosystem Labs to build AI solutions using Dell AI Factory infrastructure and ecosystem partners.
