Core Viewpoint - The article discusses a legal ruling in favor of Jinmen, a leading AI investment research platform, against XunTu Technology for unfair competition, emphasizing the importance of compliance and ethical standards in the securities industry [2][5][10]. Group 1: Legal Ruling Details - The Shanghai Pudong New District People's Court ordered XunTu Technology to immediately cease its unfair competition practices and remove all unauthorized online roadshow meeting data from its platforms [5][6]. - XunTu Technology is required to compensate Jinmen for economic losses of 4 million yuan and reasonable expenses of 100,000 yuan within ten days of the ruling [5][6]. - The court mandated XunTu to publish a statement on its website and app to mitigate the negative impact caused by its actions, with the statement subject to court review [5][6]. Group 2: Court's Key Findings - The court highlighted that all online roadshow meeting data, including audio, transcripts, and AI-generated summaries, must be removed as they were shared without permission [6][10]. - The ruling emphasized that unauthorized copying and public sharing of online roadshow content violate compliance and ethical standards in the securities industry [7][9]. - The court noted that the use of AI technology does not justify unfair competition, as the tools used do not affect the legality of competitive behavior [11][13]. Group 3: Industry Implications - Jinmen's adherence to compliance and ethical standards has established its market position, which is crucial for maintaining competitive advantages in the securities industry [21]. - The article warns other industry players against engaging in similar unfair practices, urging them to respect intellectual property and uphold fair competition [17][20]. - The court's decision serves as a reminder that the duration and extent of infringement will be considered in assessing the severity of competitive misconduct [18][19].

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].