Core Insights - In 2025, artificial intelligence (AI) is transitioning from a "buzzword" to a deeper industrial application, with consumer-facing AI applications like Doubao and ChatGPT becoming widely accepted, while enterprise adoption remains uneven [1][3] - The transformation towards an AI-driven era requires companies to focus on data as an asset and integrate AI into existing business operations, as well as explore AI-native business models [1][3] Company Developments - Kingdee announced the comprehensive upgrade of "Kingdee Cloud" to "Kingdee AI" and introduced a new AI product called "Xiao K" [3][8] - The company aims to create a closed-loop system with "Sky Platform + Data Cloud + AI Native Intelligent Agents," focusing on embedding AI into business rather than merely applying it superficially [3][8] AI Transformation Challenges - Companies are facing seven areas of mindset transformation in their AI journey, including shifting from daily operations to strategic execution, traditional products to intelligent systems, and centralized ecosystems to intelligent symbiotic networks [4][7] - The transition from manual operations to automated intelligent operations is emphasized, with a focus on strategic decision-making rather than routine tasks [7][10] Product and Technology Strategy - "Xiao K" currently integrates nearly 20 intelligent agents across various fields such as marketing, supply chain, human resources, and finance, designed for immediate usability [8][9] - Kingdee's product strategy has evolved into the "Kingdee AI" product family, with the upcoming launch of the "Kingdee AI Starry Sky" suite, which will offer a comprehensive AI product solution [8][12] Data and AI Integration - Kingdee is addressing the challenge of data integration for AI applications by standardizing data and enhancing its semantic structure to make it more compatible with large language models [11][12] - The company's Data Cloud features a four-layer technical architecture aimed at building industry data models and templates to facilitate easier consumption by intelligent agents [15] Future Outlook - The year is referred to as the "Year of Intelligent Agents," indicating the initial phase of applying this technology in practical scenarios, with a focus on analysis and decision support as well as proactive actions by intelligent agents [15]
企业级AI应用迎来加速渗透期