ZTE(SZ:000063) Prnewswire·2025-12-07 03:52Core Insights - ZTE Corporation's Chief Development Officer, Cui Li, presented the company's strategic vision for AI agents at the AI Innovation Asia 2025 event, emphasizing their transformative impact on customer experience and operational models [2][15] - The integration of AI agents is part of ZTE's "AI for All" strategy, focusing on four key areas: networks, computing, households, and personal devices [3][4] Group 1: Impact of AI Agents - AI agents are redefining user experience not only in UI design but also in responsiveness and co-creation [3] - ZTE and China Mobile have developed multi-agent systems that can autonomously detect network issues and enable self-healing, reducing troubleshooting time by 47% [4] Group 2: Strategic Transformation - The current era of uncertainty necessitates a focus on stability and agility, transitioning from machine-like organizations to adaptable ones [5] - AI models are reaching advanced levels, integrating memory and tools to automate complex tasks, although both agents and agent AI are still in early stages with technical challenges [6] Group 3: Monitoring and Accountability - Human involvement remains crucial in design, review, decision-making, and oversight to maintain accountability in AI systems [9][10] - The introduction of AI requires comprehensive integration with expertise, considering factors like accuracy, security, and compliance [11] Group 4: Future of Agent AI - Agent AI is expected to evolve from task-based automation to integrated business partners, focusing initially on vertical industries before tackling more complex tasks [13][14] - Companies must adapt their processes and structures to fully leverage AI, emphasizing the need for a symbiotic relationship between humans and AI [14] Group 5: ZTE's Digital Journey - ZTE's digital transformation began in 2016, with intelligent transformation starting in 2022, highlighting the importance of infrastructure and systematic planning [8] - Continuous investment and starting with high-quality, concrete scenarios are essential for navigating uncertainties during the transformation process [8]