Core Viewpoint - The primary crisis for enterprises in the AI era is not the inability to use AI tools, but rather the challenge of leaders applying industrial thinking to navigate the AI revolution [2] Group 1: Leadership Challenges in the AI Era - Leaders face five typical issues in the AI era, including uncertainty on where to start with AI and the struggle to integrate AI into business scenarios [1][3] - There is a need to redefine leadership in the AI era to ensure success [4] Group 2: Course Content and Value - The course aims to provide insights on the differences between AI leaders and traditional leaders, emphasizing the importance of a holistic view [4] - It includes case studies on how companies successfully address large demands in the AI era by starting with small scenarios [4] - The course is taught by Zhang Lei, a practitioner in AI business operations, and includes practical tools for immediate application [5] Group 3: Target Audience - The course is designed for founders/CEOs of companies with annual revenues over 50 million, heads of digital transformation, and decision-makers focused on building core competitiveness [6]

Core Viewpoint - The article emphasizes the necessity for companies to adapt to the AI era by defining what "good" means in the context of AI, and highlights the importance of AI innovators who create opportunities rather than compete with AI [1][6][8]. Group 1: AI Innovators and Their Role - AI innovators are defined as those who create jobs for AI rather than compete with it, positioning themselves as users who leverage AI to achieve goals and create value [6][9]. - The core task of AI innovators is to define value and ensure that AI enhances and realizes that value, rather than merely improving job skills [9][12]. - AI innovators serve as a bridge between AI productivity and commercial value, requiring skills in choice, judgment, and integration [9][16]. Group 2: Key Focus Areas in AI Application - Companies should focus on three key elements in AI application: identifying demand, producing effective outcomes, and ensuring quality, rather than solely on computational power, algorithms, and data [12][13][15]. - Quality is highlighted as the future core competitive advantage, with many AI products currently lacking stable high-quality output, leading to varied user experiences [15][18]. Group 3: Capability and Upgrade Maps - AI innovators need to possess four essential capabilities: AI leadership, AI cognitive ability, AI business acumen, and AI organizational skills [21][25]. - The career development in the AI era is categorized into four levels (L1-L4), with each level representing a significant increase in value and capability [25][26]. - The levels include: L1 - AI Supervisor, L2 - AI Manager, L3 - AI Leader, and L4 - AI Ecosystem Builder, with a clear progression in responsibilities and impact [26][28]. Group 4: Strategies for Mastering AI Capabilities - Companies are encouraged to adopt four strategies to enhance their capabilities: engaging with leading innovators, fostering team growth, achieving tangible results through practical applications, and understanding the commercial essence of AI [31][33][35]. - The essence of AI is described as a "silicon-based life" that evolves based on biological principles rather than traditional mechanistic views, emphasizing the need for personalized services over standardized products [35][41]. Group 5: Future Directions and Market Opportunities - The future of AI is expected to align more closely with human evolution, with a focus on education and collaboration to enhance capabilities [41][43]. - Companies should prepare for rapid AI development and create job opportunities for AI, recognizing the dual roles of creating and utilizing intelligence [45][48].

2025年是AI应用爆发的元年，当全球AI竞赛步入"中国时刻"，一场深刻的技术变革正悄然改写产业格局。在此关键节点，行业面临核心命题：如 何跨越AI技术到规模化应用的鸿沟？下一个颠覆性的AI超级应用将诞生于何处？ 4月18日，由36氪主办的2025 AI Partner大会于上海模速空间盛大启幕。本次大会以"Super APP来了"为主题，聚焦AI应用对千行百业的颠覆性变革。大会分 为"Super App来了"和"谁是下一个超级应用"两大篇章，覆盖"在AI世界中长大""2025卷AI就卷超级应用"等七大话题，涵盖10+场主题演讲、3场圆桌对话与 两大优秀AI案例企业名册发布环节，深度剖析AI技术如何重构商业逻辑、重塑产业格局，探索AI超级应用带来的无限可能。 当日，大华股份软件研发部副总裁周淼带来了《大华星汉大模型在AI Agent 行业化落地的探索与实践》的主题分享。 以下为周淼演讲内容，经36氪整理编辑： 大华股份软件研发部副总裁周淼 大家上午好！我是来自大华股份的周淼。非常荣幸能与各位专家学者交流分享，也衷心感谢 36 氪提供的宝贵机会。今天，我将围绕大华星汉大模型，为大 家介绍我们在 AI 领域的探索 ...