ZTE Corporation, a prominent player in information and communication technology solutions, recently showcased its cutting-edge advancements in Artificial Intelligence (AI) and Machine Learning (ML) at the 25th MPLS SD & AI Net World Congress in Paris, France. Wu Zhengguang, Marketing Director of NM & Controller at ZTE, introduced the company’s innovative lossless network service based on Large Language Model (LLM) technology to industry experts attending the AI & ML forum.
In today’s rapidly evolving digital economy, industries such as cloud computing, Internet of Things (IoT), and AI are experiencing significant growth, with digital transformation becoming a key driver of enterprise expansion. According to data from the TM Forum 5.0 white paper, over 95% of operators are motivated by the desire to enhance user experience, prompting them to embark on digital transformation initiatives. These operators are focused on enhancing network reliability, automation, and intelligence through iterative upgrades of network and operations & maintenance (O&M) systems, all aimed at delivering superior user experiences.
To tackle these challenges head-on, ZTE has pioneered an innovative lossless network service guarantee system, utilizing the simulation of digital twins and the application of AI large models within the communications sector. During the event, ZTE unveiled a prototype demonstration of its intelligent network assistant, ChatZ. Mr. Wu explained that ChatZ can accurately interpret users’ O&M intentions through conversation, simulate and analyze these intentions using the large model of network structured data, and autonomously generate optimal solutions. Furthermore, ChatZ leverages the question-and-answer and man-machine interaction capabilities of the large model across various high-frequency O&M scenarios, such as resource checks, fault investigations, network health assessments, and network migration simulations, resulting in a remarkable increase in overall O&M efficiency by over 90%.
Looking ahead, ZTE aims to collaboratively establish intelligent, agile, secure, and controllable integrated digital information infrastructure alongside operators, harnessing AI large-model technology to propel industrial digitalization forward.
