行业首发！广域铭岛超级智能体重构制造全流程：开启AI原生企业时代

Core Viewpoint - The rapid development of industrial intelligence aligns with the national strategy for new industrialization and the development of new quality productivity, driven by breakthroughs in large model technology [1][14]. Group 1: Industrial AI Integration - The integration of AI into industrial manufacturing is not merely a slogan; it requires deep engagement with specific production scenarios [1][2]. - The challenges of implementing industrial AI include the difficulty of accessing private data, the disconnect between process knowledge and AI technology, and the need for experienced personnel to maintain and adapt systems [2][3]. Group 2: Geega Industrial AI Application Platform - The Geega Industrial AI Application Platform aims to provide a comprehensive solution for manufacturing enterprises, integrating AI technology with industrial know-how [6][12]. - The platform features three core capabilities: efficient industrial data standardization, closed-loop knowledge encapsulation, and customizable intelligent agent development [7][8]. Group 3: Industrial Intelligent Agents - The Industrial Intelligent Agents, built on the Geega platform, cover the entire business process from research and production to supply, sales, and service, creating a collaborative decision-making network [8][10]. - These agents can respond quickly to supply chain disruptions, generating emergency plans and validating feasibility within minutes [10][11]. Group 4: AI-Driven Transformation - The transition from digitalization to intelligentization is characterized by the emergence of AI-native enterprises, which integrate AI deeply into business processes [12][13]. - The company has empowered over 60 enterprises, accumulating practical experience in industrial scenarios, which supports the training and validation of its AI platform and intelligent agents [13][14].