马杰认为，AI的真正效果能够通过合作呈现。"比方说我们国际上都接一些比较大的头部的公司来帮助 他们去做AI转型，然后在国内我们接的都是一些行业垂类里面非常牛的公司，跟他一起去共建和共 创，用这种方式，这样确保我们做的是体量能比较大，同时大家配合度会比较高，最后让AI真正有效 果。"（罗宁） 责任编辑：刘万里 SF014 新浪科技讯 7月4日下午消息，2025亚布力中国企业家论坛第十一届创新年上，零一万物联合创始人马 杰向新浪科技透露，零一万物在垂类大模型方面的进展很快。此前成立的游戏垂类AI应用公司零一绿 洲，目前已经与某家游戏上市公司开展合作，共同训练基础模型，此外，绿洲也跟数十家游戏的上下游 公司形成了合作，探索在游戏中的Agent应用。他还表示，零一万物在垂类领域的应用远不止于此，此 前还与知软知云成立合资公司，专注于知识产权领域的垂类模型，他透露"目前进展也很快"。 马杰向新浪科技表示，零一万物现在的定位，是服务于各个产业和垂类。零一万物深度认可产业+AI方 向，并认为产业的积累和KnowHow更重要。在一些特别看好的产业中，零一万物可能会跟这些行业的 伙伴去成立一些合资公司，所以未来可能还会看到更多 ...

Core Viewpoint - The strategic partnership between Baiwang Co., Ltd. and Zero One Wanwu Technology aims to integrate Baiwang's industry scenarios and vast data with Zero One Wanwu's large model deployment capabilities, creating comprehensive model solutions for various key industries, enhancing operational efficiency and compliance [1][4]. Group 1: Partnership Details - Baiwang and Zero One Wanwu signed a strategic cooperation agreement in Hong Kong to develop vertical models across multiple industries [1]. - The collaboration is expected to address the challenge of making AI usable and effective in enterprises, injecting strong momentum into the digital transformation of Chinese companies [1][4]. - The partnership is viewed as a significant lever for unlocking new productive forces, igniting the "industry + AI" fusion [1][5]. Group 2: Market Context - Zero One Wanwu's CEO predicts that 2025 will be the year of AI-First application explosion, with the competition shifting from parameter contests to capabilities from platform to application [2]. - The arrival of DeepSeek Moment signifies that top Chinese open-source models are catching up with leading closed-source models from Silicon Valley, indicating vast potential for AI empowerment in traditional industries [2]. Group 3: Baiwang's Capabilities - Baiwang has served over 28 million customers and has developed a product matrix including transaction management, operational decision-making, and financial business intelligent agents, helping enterprises unlock data value [3]. - The company has processed over 100 billion units of high-value, real-time industry data, which is crucial for training industry-specific intelligent agents [3]. Group 4: Challenges and Solutions - Companies face three main challenges in deploying large models: deployment difficulty, application difficulty, and customization difficulty [4]. - Baiwang's financial risk control intelligent agent integrates various data sources to create comprehensive risk assessment models, helping banks reduce default rates and optimize financial structures [4]. Group 5: Future Outlook - The collaboration between Baiwang and Zero One Wanwu is seen as a pivotal moment for deep integration of "industry + AI," exploring a path for AI empowerment that is characteristic of Chinese industries [4][5].

本报讯 （记者舒娅疆）6月10日，"以鲜为美质领未来"——新希望乳业2025年投资者大会在成都召开， 全面解读公司持续增长的发展路径，通过产品与渠道的双引擎创新，重点聚焦高端化、深耕下沉市场和 用户运营，为行业和投资者勾勒出奶业振兴发展的清晰蓝图。 新希望乳业股份有限公司（以下简称"新乳业"）董事长席刚在现场表示，企业必须跳出存量市场的内 卷，依托消费者更鲜、更美和多样化的新需求，在创新和增量中寻找解法。新乳业将坚持以"鲜战略"为 核心，推动从"以鲜为主""鲜酸双强"，到包含饮品在内的"三鲜鼎立"的产品创新迭代，以"产业+AI+合 成生物技术"构建竞争壁垒，增强新兴渠道与用户运营能力，打造"鲜活生产力"，驱动新鲜增长。 "鲜战略"锻造韧性持续增长 行业数据显示，2024年我国乳制品总产量降至2962万吨，同比减少1.9%，液态奶产量五年来首度下 滑，人均奶类消费量同比下降5.6%，乳品企业发展出现波动分化。中信证券消费产业首席分析师姜娅 表示，中国消费市场总体扩容趋势不会改变，乳品从成长期迈向成熟期，结合行业发展格局，看好具备 成为龙头潜力的优质企业。 新乳业作为乳业的新鲜代表，近年来经营能力优化向好，呈现出 ...

Core Viewpoint - New Hope Dairy is focusing on innovation and consumer demand for fresh and diverse dairy products to navigate the challenges of a slowing market and declining consumption [1][2] Industry Overview - The domestic dairy industry is characterized by intense competition with a trend towards increased concentration among leading companies [2] - In 2024, China's total dairy production is projected to decline to 29.62 million tons, a decrease of 1.9% year-on-year, with liquid milk production experiencing its first drop in five years [2] - Per capita dairy consumption is expected to decrease by 5.6% year-on-year, indicating a shift in consumer behavior towards value and quality [2] Company Strategy - New Hope Dairy is committed to a "fresh strategy" that emphasizes product innovation across various categories, including fresh milk and beverages [3] - The company aims to enhance its competitive edge through the integration of AI and synthetic biology in its production processes [3] - New Hope Dairy's revenue for 2024 is projected at 10.665 billion yuan, a slight decrease of 2.93% year-on-year, while net profit is expected to rise by 24.8% to 538 million yuan [3] Growth Drivers - The company identifies three key growth drivers: high-end product development, deepening market penetration, and international expansion [4][5] - The "24-hour" fresh milk series and local market strategies are expected to contribute significantly to revenue growth, with high-end products seeing over 15% year-on-year revenue increase [5] - New Hope Dairy is also focusing on innovative distribution channels, including partnerships with major retailers and the establishment of fresh milk stores [5] Strategic Partnerships - New Hope Dairy has formed a strategic partnership with the Norwegian Gene Cow Breeding Association to introduce and cultivate Norwegian Red Cattle, enhancing its product offerings [6] - The company has already launched its first Norwegian Red Milk product, which has received positive market feedback [6]

Core Viewpoint - New Dairy Industry (002946) is addressing challenges in the dairy market, including sluggish consumption and growth slowdown, by focusing on innovation and new consumer demands for fresher, more diverse products [1] Group 1: Company Strategy - The chairman of New Dairy Industry, Xi Gang, emphasized the need to move beyond the "involution" of the existing market and seek solutions through innovation and growth [1] - The company will adhere to a "fresh strategy" as its core focus, aiming to build competitive barriers in the food and beverage sector through the integration of industry, AI, and synthetic biology [1] - New Dairy Industry plans to enhance emerging channels and user operations to drive fresh growth [1]