在数字浪潮汹涌澎湃的今天，人工智能正以前所未有的速度重塑着世界的模样。近日， 成都高 新区迎来了一场意义非凡的政务培训，未可知人工智能研究院副院长张孜铭先生亲临现场， 为 高新区的政务工作者们带来了一场关于人工智能（AI）的深度分享，一同探索智能时代的发展 密码。 一、培训现场：思想碰撞，智慧交锋 成都市IC产业园会议中心内，气氛热烈而庄重。张孜铭副院长的讲解深入浅出，从AI的起源讲 起，沿着时间的脉络， 详细梳理了人工智能的发展历程 。他提到，从早期的萌芽阶段，到如 今的快速腾飞，AI正逐步渗透到我们生活的每一个角落，成为推动社会进步的关键力量。 在讲解过程中， 张副院长结合实际案例，生动展示了 AI在不同领域的应用成果。 从智能家居 的便捷生活，到医疗健康领域的精准诊断，再到电商行业的智能推荐，AI的多面性让在场的每 一位听众都惊叹不已。他强调，AI不仅是技术的革新，更是思维方式的转变，它让我们能够以 全新的视角看待问题，寻找解决方案。 二 、 AIGC：内容生产力的大变革 培训的核心内容之一是 AIGC（生成式人工智能内容）。张副院长指出，AIGC正引发一场内容 生产力的革命。 与传统的PGC（专业生产 ...

Core Insights - The article emphasizes that the AI market is projected to be ten times larger than the cloud computing market, with significant growth expected over the next 10 to 20 years [4][6]. - It highlights the importance of application layers in creating value within the AI sector, suggesting that successful companies will focus on specific verticals and customer needs [10][11]. - The emergence of the "agent economy" is discussed, where AI agents will play a crucial role in business operations and interactions, transforming how work is conducted [36][38]. Market Opportunities - Pat Grady poses essential questions regarding the significance of AI and the timing for investment, framing the discussion around the potential of AI as a trillion-dollar opportunity [2]. - The comparison between cloud computing and AI transformation indicates that AI's starting market size is expected to be at least an order of magnitude larger than that of early cloud computing [4]. - AI is not only disrupting the service market but also the software market, with companies evolving from simple tools to more intelligent, automated solutions [6]. Application Layer Value - Historical analysis shows that major technological revolutions have led to significant revenue generation at the application layer, a trend expected to continue with AI [10]. - Companies should focus on specific functionalities and customer needs to create value, especially as AI models become more capable [11]. - Key factors for building successful AI companies include avoiding "vibe revenue," ensuring trust, and establishing a clear path to healthy profit margins [16][17]. User Engagement and Breakthroughs - There has been a notable increase in user engagement with AI applications, with daily active users of tools like ChatGPT rising significantly [19][20]. - Two critical areas of focus for 2024 are advancements in voice generation technology and programming capabilities, which are expected to enhance accessibility and efficiency in software development [22][24]. Vertical Agents and Intelligent Economy - The development of vertical agents, which are specialized AI systems trained for specific tasks, is seen as a promising opportunity for entrepreneurs [31][32]. - The concept of the "agent economy" is introduced, where AI agents will facilitate transactions and interactions, creating a new economic framework [36][38]. - Key challenges in realizing this vision include establishing persistent identities for agents, developing seamless communication protocols, and ensuring security and trust [39][40]. Transformative Changes in Work and Management - The shift towards an agent economy will fundamentally alter management practices and decision-making processes, requiring a new understanding of AI capabilities [41][43]. - The anticipated integration of AI agents into organizational structures is expected to lead to unprecedented levels of operational efficiency and economic transformation [44].

Core Viewpoint - The article emphasizes the transformative impact of AIGC (Artificial Intelligence Generated Content) on the banking industry, highlighting its potential to enhance content production efficiency and revolutionize various banking processes [2][5][29]. Group 1: Evolution of Content Production - The training led by Dr. Du Yu reviewed the evolution from WEB1.0 to WEB3.0 and the metaverse, analyzing the shift from PGC (Professionally Generated Content) to UGC (User Generated Content) and now to AIGC [2]. - AIGC is recognized as a key driver of content production efficiency, with its capabilities in generating multi-modal content such as text, audio, images, and videos [2]. Group 2: Distinction Between AI Types - Dr. Du Yu differentiated between generative AI, which focuses on creating new content, and decision-making AI, which is aimed at making satisfactory decisions [3]. Group 3: Applications of AIGC in Banking - AIGC shows significant potential in various banking applications, including product marketing, risk management, and process optimization [5][11]. - In product marketing, AIGC can analyze vast historical data to predict customer needs and enhance retail credit loan scales [5]. - AIGC's multi-modal data processing capabilities have improved mortgage loan operations by efficiently extracting important information from various document types [8]. Group 4: Risk Management Enhancements - AIGC can enhance risk management by enabling dynamic risk detection and covering various fraud and default scenarios, thus improving overall risk management capabilities [11]. Group 5: Practical Case Studies - Successful case studies include: - Guangfa Bank utilizing AIGC for customer service efficiency, significantly improving response times and customer satisfaction [14]. - Industrial and Commercial Bank of China innovating in financial report generation through AIGC, enhancing efficiency and quality [18]. - Beijing Bank exploring AIGC applications through its self-developed models and partnerships [22][25]. Group 6: Challenges and Solutions - The article identifies challenges such as inadequate innovation mechanisms, talent shortages, and data quality issues that hinder AIGC implementation in banking [29][30][33]. - Recommendations include enhancing internal collaboration, investing in talent development, and improving data governance to support AIGC applications [30][33][34].

Core Viewpoint - The article discusses the successful hosting of an industry salon themed "AI Empowering Finance, Smartly Initiating the New Future of CFOs" in the Greater Bay Area, focusing on the application prospects and practical paths of AI technology in finance [1][13]. Group 1: Event Overview - The salon attracted numerous CFOs and finance professionals from the Greater Bay Area to explore the application of AI in financial work [1]. - The event was co-hosted by the Unknown AI Research Institute and Panoramic Network, aiming to leverage both parties' strengths to create a platform for cutting-edge technology exchange and idea collision for finance elites [2]. Group 2: Key Insights from the Speaker - Dr. Du Yu, the director of the Unknown AI Research Institute, highlighted how AI can assist enterprises in reducing costs and increasing efficiency [4]. - He emphasized that generative AI is becoming a new engine for industrial innovation and economic growth, particularly in the finance sector, where it can enhance work efficiency and provide more precise decision-making support [5]. Group 3: Applications of AI in Finance - AI technology has diverse application scenarios in finance, such as intelligent financial robots that can automate the processing of large volumes of financial data, significantly reducing manual operation time and error rates [7]. - AI can also conduct financial risk prediction and analysis, helping enterprises to proactively avoid potential financial risks and optimize financial management strategies [7]. Group 4: Future Implications for CFOs - Dr. Du Yu warned that CFOs who do not utilize AI tools may find themselves at a competitive disadvantage in the job market [9]. - He advised CFOs to embrace AI technology actively and enhance their digital skills to meet the demands of intelligent financial work [9]. Group 5: Participant Feedback and Future Plans - Many CFOs expressed that the salon provided them with a clearer understanding of AI applications in finance and recognized the significant potential and opportunities AI technology brings to financial work [11]. - The successful hosting of the salon not only provided a learning and exchange platform for finance professionals but also further promoted the application and development of AI technology in the financial sector of the Greater Bay Area [13].

近日， 未可知人工智能研究院副院长张孜铭老师受邀前往武汉市蔡甸区政府 ，开展了一场以" AI赋能办 公，开启智慧新未来 "为主题的分享会。 此次分享会旨在帮助蔡甸区政府工作人员深入了解人工智能技术在办公领域的应用，提升工作 效率，推动区域数字化转型。 张孜铭老师作为 人工智能领域的资深专家 ，拥有丰富的学术背景和实践经验。 他不仅是北京大学管理学硕士、新加坡国立大学金融工程硕士，还担任《AIGC：智能创作时 代》一书的作者，参与了多项国家级人工智能标准的起草工作。 在分享会上，张老师深入浅出地介绍了 人工智能的发展历程、技术原理以及在不同行业的应用 案例 ，让在场的政府工作人员对AI有了更全面、更深刻的认识。 在分享过程中，张老师着重讲解了 AI在办公场景中的应用 。他指出，随着人工智能技术的不 断进步，AI工具已经能够帮助人们高效完成文本生成、数据处理、图像设计等任务。 例如，通过AI生成PPT，可以在短时间内快速生成高质量的演示文稿，大大节省了制作时间； 利用AI处理Excel数据，能够快速进行数据分析和图表绘制，提高工作效率。 张老师还现场展示了如何使用AI工具进行文本创作、图像生成等操作，让在场人员直 ...

在人工智能技术飞速发展的今天，掌握AI工具已成为提升工作效率和生活品质的必备技能。 近日， 未可知人工智能研究院院长杜雨博士与认证AI培训师章星灿 携手为余杭区打造了四场为期5天的AI夜校课程，旨在帮助学员从零开始掌握AI工具， 轻松应对工作与生活中的各种挑战！ 课程走进 杭州余杭区阿里巴巴青橙国际创新创业中心 。现场60%学员为阿里系员工。 课程亮点： 1. 全面覆盖AI应用场景 课程涵盖提示词优化、AI机器人制作、PPT生成、Excel数据分析、照片处理、海报设计、自媒体运营、短视频剪辑、时间管理、健康与财富管理等十 大主题，满足学员多样化的需求。 2. 注重实操，即学即用 每节课均配备实战案例，学员可在课堂上直接完成作品，真正做到"学以致用"。例如： 学员收获： 学员故事 "作为阿里国际站运营，今天终于看懂算法同事的工作逻辑了！"——学员Lydia AI时代，学习永不停止！快来加入余杭区AI夜校，与杜雨博士和章星灿讲师一起，开启你的智能生活新篇章！ 这场AI赋能之旅并非终点，而是 青年科技工作者更好拥抱数智时代的起点。 未可知人工智能研究院将持续聚焦科技前沿热点，密切贴合青年科技工作者需求， 通过开展多 ...

Core Viewpoint - The AI Night School program in Hangzhou aims to equip community residents with essential AI skills to enhance work efficiency and quality of life through practical training in various AI applications [1][9]. Course Highlights - The curriculum covers ten major themes including prompt optimization, AI robot creation, PPT generation, Excel data analysis, photo editing, poster design, self-media operation, short video editing, time management, and health and wealth management, catering to diverse learner needs [3]. - Emphasis on hands-on practice allows students to apply what they learn immediately, ensuring practical application of skills [4]. Daily Schedule - Day 1: Learning ChatGPT prompt techniques and creating AI robots without coding - Day 2: Generating PPTs with AI and performing data analysis in Excel - Day 3: Optimizing photos with AI and designing e-commerce posters - Day 4: Utilizing AI for self-media operations and editing short videos - Day 5: AI-assisted time management and support for health and wealth management - Each session includes real-world case studies, enabling students to produce tangible work during class [5][8]. Instructor Credentials - The course is led by instructor Zhang Xingcan, a master's graduate from The Chinese University of Hong Kong and a certified trainer from the Unknown AI Research Institute, known for an interactive and practical teaching style [7]. Student Benefits - Participants will master core usage techniques of mainstream AI tools such as ChatGPT and DeepSeek, enhancing their efficiency in tasks like copywriting, data analysis, and design [8]. - The program also explores AI applications in daily life, including fitness planning, wealth management, and time organization [8]. Future Focus - The Unknown AI Research Institute will continue to focus on cutting-edge technology trends and align with the needs of young tech workers by offering diverse and high-quality activities to support their development [9].

Core Viewpoint - The article discusses the application of artificial intelligence (AI) in banking, highlighting a presentation by Zhang Ziming, Vice President of the Unknown AI Research Institute, aimed at enhancing marketing and productivity through AI tools in Hangzhou United Rural Commercial Bank [1][13]. Group 1: AI Development and Applications - Zhang Ziming provided an overview of the evolution of AI, emphasizing the rise of AIGC (Artificial Intelligence Generated Content) technology and its transformative impact on content creation across various fields [5]. - AIGC technology is fundamentally different from traditional decision-making AI, enabling efficient generation of diverse content forms such as text, audio, images, and videos [5]. Group 2: AI in Banking Marketing - The presentation detailed multiple applications of AI in banking marketing, including the use of AI prompts and intelligent agents to accurately identify customer needs and generate personalized marketing copy [7]. - AI can facilitate the rapid creation of various documents such as promotional materials, marketing plans, and meeting minutes, significantly enhancing work efficiency [7]. - Features like AI+PPT can assist in creating marketing activity reports, while AI+image and AI+video capabilities can generate visuals and promotional videos, adding creativity and appeal to marketing efforts [7]. Group 3: AIGC Technology Potential - Zhang Ziming showcased successful applications of AIGC technology in different sectors, such as award-winning AI-generated artwork and popular AI-composed songs, illustrating the technology's vast potential [9]. - The discussion included the future prospects of AIGC technology in banking, such as integrating AIGC models into risk management systems, customer marketing, and optimizing mortgage loan processes, providing new ideas and directions for business development [9]. Group 4: Engagement and Future Outlook - An interactive segment allowed attendees to guess which images and texts were AI-generated, fostering lively discussions and deepening understanding of AI technology [11]. - The successful event energized the digital transformation efforts of Hangzhou United Bank, with participants expressing a deeper understanding of AI applications in banking and anticipation for future integration of AI technologies [13][16].

在数字化浪潮席卷全球的今天， 人工智能（AI）正以其独特的魅力和强大的潜力，成为推动社 会进步和经济发展的新引擎。 未可知人工智能研究院，作为AI领域的先行者和探索者，一直致 力于将最前沿的AI技术和理念，转化为实际应用，以促进各行各业的创新与发展。 近日， 未可知人工智能研究院副院长张孜铭，受邀为四川省天府新区的领导干部们进行了一场 主题为"人工智能+与新质生产力——AI4S及AIGC领域的发展展望"的政务培训。 此次培训， 不仅是对AI技术在政务领域应用的一次深入探讨，更是对如何利用AI提升新质生产力的一次全 面展望。 AI 赋能政务，提升行政效 率 在培训中，张孜铭副院长首先介绍了 AI技术在政务领域的应用现状和未来趋势 。他指出，AI 技术可以通过数据分析、智能决策支持等方式，极大地提高政府决策的科学性和行政效率。同 时， AI在公共服务、城市管理、环境保护等方面的应用，也能有效提升政府服务的质量和水 平。 张副院长通过丰富的案例和详实的数据，展示了 AI技术在政务领域的广泛应用，如智能客服、 自动化办公、智能监管等。这些应用不仅提高了政府工作的效率，也为公众提供了更加便捷和 高效的服务。 新质生产力 ...

Core Viewpoint - The lecture by Zhang Ziming, Vice President of the Unknown AI Research Institute, highlighted the significant role of AI in enhancing banking efficiency and facilitating digital transformation in banks, particularly through the use of AI prompts and applications [1][8]. Group 1: AI Applications in Banking - AI can quickly generate structured and content-rich documents such as work reports and meeting notifications, saving considerable time and effort for bank staff [2]. - AI can assist in creating PowerPoint presentations by generating outlines and selecting templates, improving both efficiency and design consistency [2]. - AI can accurately understand user needs in Excel data processing, generating formulas and visual charts to support data analysis and decision-making [2]. Group 2: Interactive Experience and AIGC - Employees at Lanzhou Bank experienced AI capabilities firsthand through interactive sessions, including AI-generated images and text, which enhanced their understanding of AI's potential [4]. - The development and application of AIGC (Artificial Intelligence Generated Content) were discussed, emphasizing its focus on generating new content across various media compared to traditional decision-making AI [4]. Group 3: Case Studies and Challenges - Successful case studies from banks like Guangfa Bank and Industrial and Commercial Bank of China were shared, showcasing how AIGC improved customer service efficiency and report generation [6]. - Challenges in implementing AIGC in banking were identified, including data quality issues, talent shortages, and the high costs of training specialized models [6][7]. Group 4: Future Prospects and Collaboration - Despite challenges, the future application of AIGC in banking remains promising, with a call for strategic transformation and comprehensive planning to overcome obstacles [8]. - The Unknown AI Research Institute aims to strengthen collaboration with financial institutions to explore innovative applications of AI in the financial sector, contributing to high-quality development [12].