ZTE Debuts Cutting-Edge LLM-Based Lossless Network Service at Esteemed Industry Summit

  • ZTE unveiled its latest AI and ML advancements at the 25th MPLS SD & AI Net World Congress in Paris.
  • The company introduced a cutting-edge lossless network service based on Large Language Model (LLM) technology.
  • Operators worldwide are prioritizing digital transformation to enhance user experience, with ZTE’s solution addressing this need.
  • ZTE showcased ChatZ, an intelligent network assistant, capable of autonomously solving O&M challenges with 90% increased efficiency.
  • Collaborative efforts between ZTE and operators aim to construct intelligent, agile, secure, and controllable digital infrastructure.

Main AI News:

In a recent showcase of technological prowess at the 25th MPLS SD & AI Net World Congress in Paris, France, ZTE Corporation unveiled its latest advancements in Artificial Intelligence (AI) and Machine Learning (ML). Wu Zhengguang, Marketing Director of NM & Controller at ZTE, took the stage during the AI & ML forum to introduce the company’s innovative lossless network service, powered by Large Language Model (LLM) technology, to industry luminaries in attendance.

In today’s rapidly evolving digital landscape, sectors such as cloud computing, Internet of Things (IoT), and AI are experiencing unprecedented growth, with digital transformation serving as the linchpin for business expansion. According to insights gleaned from the TM Forum 5.0 white paper, a staggering 95% of operators cite enhancing user experience as the primary driver behind their digital transformation initiatives. These operators are laser-focused on enhancing network reliability, automation, and intelligence through iterative upgrades to network infrastructure and operations and maintenance (O&M) systems, all aimed at delivering unparalleled user satisfaction.

To tackle these challenges head-on, ZTE has spearheaded the development of an innovative lossless network service assurance system, leveraging the power of digital twin simulation and AI large models within the telecommunications realm. At the congress, ZTE showcased a prototype demonstration of its intelligent network assistant, ChatZ. Mr. Wu elucidated that ChatZ possesses the remarkable ability to decipher users’ O&M objectives through natural conversation, utilizing the large model’s network structured data to simulate and analyze these objectives and autonomously generating optimal solutions. Furthermore, ChatZ harnesses the Q&A and man-machine interaction capabilities of the large model across a spectrum of high-frequency O&M scenarios, including resource audits, fault diagnosis, network health assessments, and migration simulations, resulting in a staggering 90% increase in overall O&M efficiency.

Looking ahead, ZTE is committed to fostering collaborative partnerships with operators to build intelligent, agile, secure, and controllable integrated digital information infrastructure. Leveraging AI large-model technology, ZTE aims to propel industrial digitalization into the future, driving unprecedented levels of efficiency and innovation within the telecommunications landscape.

Conclusion:

ZTE’s unveiling of its AI-powered lossless network service marks a significant advancement in the telecommunications industry. By addressing operators’ pressing need to enhance user experience through digital transformation, ZTE is poised to drive efficiency and innovation in the market. Collaborative efforts with operators signify a strategic move towards constructing future-ready digital infrastructure, positioning ZTE as a key player in shaping the telecommunications landscape.

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