参训学员纷纷表示，本次培训内容紧贴业务需求，实操性强。"以前觉得AI很遥远，现在发现它已经是提升工作效率的利器。"一位渠道经理分 享道。另一位学员则对AI生成销售话术的功能印象深刻："原来客户沟通可以这么智能！" 近日，未可知人工智能研究院副院长张孜铭为鹏华基金开展了一场主题为《AI赋能基金营销》的专题培训。本次培训旨在帮助基金行业从业者 掌握AI技术在营销场景中的实际应用，提升工作效率与创新能力。张孜铭副院长凭借深厚的学术背景和丰富的行业经验，为学员呈现了一场理 论与实践并重的精彩课程。 张孜铭老师从生成式AI与决策式AI的核心区别切入，深入浅出地讲解了AI技术在内容生成、数据分析、客户沟通等场景中的应用。通过实际案 例，展示了如何利用AI工具快速生成营销文案、设计宣传海报，甚至制作创意短视频，大幅提升营销效率。 本次培训的成功举办，帮助鹏华基金在AI 时代更好地把握技术机遇，探索适合自身的 AI 解决方案，加速数字化转型进程。未可知人工智能研 究院将继续致力于推动 AI 技术在各行业的应用与发展，为企业创造更多价值。 合作联系微信：duyuaigc 合作伙伴 部分学员作品： 豆包Al生成 ...

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].