Core Viewpoint - The training conducted by Zhang Ziming emphasized the integration of AI technologies into the fund industry, highlighting the importance of AI in enhancing operational efficiency and decision-making processes. Group 1: AI Development and Application - Zhang Ziming outlined the evolution of AI technology from its early stages to its current applications, focusing on the distinction between generative AI, which emphasizes content creation, and decision-making AI, which focuses on optimizing decisions [3]. - The training included a detailed explanation of structured prompt engineering frameworks such as CO-STAR, TCREI, and CRISPE, demonstrating how to generate high-quality marketing content for funds using the RBTR method [3]. Group 2: Fund Marketing Techniques - Practical techniques for generating marketing content, images, and videos using AI were showcased, with participants experiencing the entire process from market analysis to complete marketing copy generation [3]. - Zhang Ziming demonstrated the use of DeepSeek to analyze fund product selling points and quickly generate attractive marketing content related to trending themes like carbon neutrality [3]. Group 3: Investment Research Empowerment - The training introduced professional AI tools like Reportify and Alpha派, showcasing their applications in data collection, information organization, and visual analysis, significantly enhancing the efficiency of investment research personnel [4]. - Zhang Ziming emphasized that AI is not meant to replace investment researchers but to free them from tedious information processing, allowing them to focus on value judgment and decision-making [4]. Group 4: Future Directions of AI in Business - The Unforeseen AI Research Institute aims to assist more enterprises in achieving "AI+" strategic transformation, maintaining competitive advantages in the era of intelligence through dual-driven strategies of "AI strategy + technology empowerment" [6].

Core Viewpoint - The essence of the AI competition is a race against time, with 78% of executives believing that generative AI will reshape industry dynamics within three years [3]. Group 1: AI Transformation and Services - The presentation introduced two enterprise-level services: GEO (Generative Engine Optimization) and DeepSeek+ knowledge base solutions, which garnered significant attention from attendees [1][4]. - GEO aims to enhance brand visibility on major AI platforms through prompt engineering and semantic enhancement, effectively serving as "SEO for the AI era" [4][7]. - A case study demonstrated that a brand optimized with GEO saw a 340% increase in AI platform mentions within two weeks, sparking interest among business leaders [4][8]. Group 2: Efficiency Improvements - A central enterprise using the DeepSeek+ solution reported a 60% increase in efficiency for writing bidding documents and halved the training period for new employees [8]. - Multiple representatives from manufacturing, healthcare, and finance sectors expressed interest in initiating proof of concept (POC) projects with the company [8]. Group 3: Strategic Direction - The company plans to continue driving AI adoption among private enterprises through a dual approach of "technology incubation + industrial investment" [10]. - The focus is on becoming a foundational infrastructure for cognition in the AI era, emphasizing the importance of talent development and commercial application [12].