火石创造十周年启动全面AI战略：从数智筑基到智能体革命

Core Insights - Firestone Innovation officially announced its full AI transformation on its 10th anniversary, launching a new generation of industrial data intelligence product systems, establishing "comprehensive AI" as its core strategy for the next decade [2][6] - The company aims to create a "dual-wheel drive" model of "technology + scenarios" to achieve a full-stack closed loop from data intelligence foundation to scenario intelligence [2][6] Technology Foundation - The "Firestone Star Link" data center has accumulated over 770 billion industrial data assets across 18 thematic domains, enabling precise mapping of over 500 industrial chain diagrams [2][3] - The "Firestone Yuanqing" platform features an industry economic model that is the only vertical model approved by the National Internet Information Office, integrating a vast corpus of industry-specific data and development logic [3] Scenario Revolution - Four initial scenario intelligence models were launched, focusing on key industry pain points: - The Industrial Super Intelligence Model enhances research efficiency by integrating AI Agent architecture and Deep Search technology, significantly reducing report generation time and costs [3][4] - The Industrial Investment Attraction Model addresses challenges in investment processes, improving the precision and speed of attracting investments [4] - The Policy Intelligence Model provides AI decision support for government policy makers, enhancing the precision of policy formulation and implementation [4] - The Enterprise Service Intelligence Model offers comprehensive services to businesses, facilitating technology matching, financing, and supply chain collaboration [4] Strategic Upgrade - The transition from "tool-based" to "intelligent-based" services marks a significant milestone for the company, with the introduction of "Intelligent Agent Services (RaaS)" redefining industry service logic [6] - The new product blueprint aims to enhance user experience and efficiency in key business scenarios across various sectors, including government and finance [6] - The company envisions a new paradigm for industrial economic intelligence by 2025, transitioning from digitalization to intelligence [6]