Topics AI (Artificial Intelligence), Autonomous networks, Intent-based networking
Maximizing operational efficiency and monetization of the cloud and network convergence using TMF intent-driven autonomous operations assets
Project companies
In an era where AI is increasingly integral to various processes and services, the demand for computing power is on the rise – efficient allocation of these resources is therefore crucial. To streamline the use of computing power and network resources, it's essential to align customers' original intentions with the capabilities and services of the computing network. This Catalyst aims to provide an intent-based computing resource service supported by generative AI (genAI) and automation: through intelligent detection of resource requirements, it will allocate computing resources accordingly, ensuring optimal efficiency and user satisfaction.
To accomplish this goal, the project will employ service orchestration technology to streamline complex network business processes. It will then be possible to engage with business stakeholders such as customer managers using (genAI) - either through speech or text - in conjunction with large language models (LLMs), and then intelligently align identified intentions with the appropriate services.
This system operates as an AI assistant, employing closed-loop verification to allocate computing resources based on customer needs. This will help customer managers recommend the necessary resources for complex network computing services with ease. Through multiple rounds of dialogue, recommendation, and negotiation, the system will obtain comprehensive input from customers and executes subsequent processes automatically. It can then adapt to the personalized business needs of customers, lower the usage threshold for computing power and networks, and foster the emergence of new businesses.
Throughout the entire process, the intelligent assistant will function as an experienced business and network expert, matching solutions to customer needs. This will simplifiy the tasks of customer managers and maintenance workers, handling order acceptance and manual provision and configuration work at each stage. Ultimately, the Catalyst aims to streamline computing resource allocation management, automate customer interaction, service model matching, process execution, and end-to-end delivery. This Catalyst will provide the industry with an innovative new business model allowing customers to express their needs verbally or textually, bypassing the need to navigate fixed products on operator portals.
Resources
Introduction
Catalyst Brief Introduction
Contact team
Email the members of the Catalyst team to request more details.