天娱数科：以“智能体+”深耕垂直场景，抢占AI Agent商业化高地

Core Insights - The article discusses the evolution of AI technology, highlighting the transition from language interaction to autonomous execution, positioning intelligent agents as a new engine for industrial restructuring [1][4] - Gartner predicts that by 2026, 30% of enterprise services will be completed through intelligent agents, indicating a significant shift in the competitive landscape of global AI [1] Group 1: Intelligent Agent Ecosystem - Tianyu Shuke has developed a comprehensive intelligent agent system that integrates perception, reasoning, and execution, breaking the limitations of traditional AI that only focuses on language interaction [2] - The perception layer utilizes the self-developed Behavision platform, which combines a massive 3D corpus and deep vision chip technology, enabling machines to possess human-like intuition [2] - The reasoning layer is built on proprietary large models, such as the "Tianxing" base model, tailored for various industries like marketing and manufacturing, creating specialized decision-making capabilities [2] - The execution layer allows for seamless integration of digital decisions into physical actions through a standardized robot classification system and an atomic skill library [2] Group 2: Practical Applications in Various Industries - The Behavision platform offers a universal solution that significantly reduces the cost of intelligent agent development by using a combination of real data and extensive simulation training [3] - In marketing, the intelligent agent ecosystem, centered around a smart advertising model, addresses high traffic costs and user engagement challenges, exemplified by successful campaigns in the insurance and beauty sectors [3] - The tourism sector benefits from intelligent agents that analyze user behavior data to generate personalized recommendations, enhancing operational efficiency by 150% and achieving over 99% in customer response and accuracy rates [4]