以下文章来源于日商日旅 ，作者KYOKU 日商日旅 . 前商业媒体人，管理者，早稻田大学硕士。 在一家40%外国人、员工来自15+国的日本旅游上市公司工作。 基本能周更。 来 源丨日商日旅（ID：rishangrilv） 作者丨KYOKU 想要勾勒出日本AI行业的面貌着实不太容易。AI公司又少又慢又没声音，技术看上去也是半吊子。跟很多曾经驰骋国际今天却逐渐去国 际化的日企一样，它们的生意，从研发到销售服务，从上游到下游，从头到尾似乎不需要日本以外企业的参与。 笔者斗胆，称它们的存在为"孤岛闭环链"。 如何判断一家公司的产品或服务是否属于"前沿AI创新"而非传统的IT信息化？ 人们通常是从这四个维度来判断： | 判断维度 | 真AI企业特征 | 假AI企业特征 | | --- | --- | --- | | 算法仅是附属工具, | は）キロロテキ 次し (以刺ハステイ、ILF、工成 | | | 于AI算法 | 模型等技术, 有自研模型和AI框架 | 本质是提升信息效率的 系统整合商 | | 产品通用性和扩 技术具备通用性,有API、SDK或 产品为特定客户定制, | | | | 展性 | 开放平台，可迁移到多行 ...

Group 1 - Preferred Networks is recognized as a "true AI" company due to its reliance on deep learning, NLP, and generative models, along with its self-developed models and AI frameworks [1][3][4] - The company has a strong product versatility, offering solutions across various sectors including industrial automation, healthcare, and education, with over 435 global patents [5][6] - Despite its initial ambitions for international expansion, Preferred Networks has reverted to a domestic focus, raising concerns for other Japanese tech firms considering overseas ventures [2][10] Group 2 - Preferred Networks was founded in 2014 and developed the deep learning framework Chainer, which was once positioned alongside TensorFlow and PyTorch [3][11] - The company has shifted its strategy to collaborate with major Japanese corporations like Toyota and Nissan, focusing on customized AI systems rather than pursuing a broader international presence [13][18] - The company has established a new subsidiary, Preferred Elements, aimed at foundational technology development, indicating a potential shift towards a more open approach [14][16] Group 3 - PKSHA Technology, another prominent Japanese AI firm, has shown strong profitability with significant revenue growth, serving various industries including retail and finance [24][25][26] - Unlike Preferred Networks, PKSHA retains ambitions for international collaboration, partnering with companies like Microsoft and Tencent [26] - The early establishment of AI companies in Japan, such as PKSHA and Preferred Networks, was driven by a combination of engineering talent and industry demand for automation [28][30] Group 4 - The Japanese AI industry is characterized by a closed-loop system where startups primarily serve large domestic corporations, limiting their growth potential and innovation [44][45] - The government and large companies emphasize project-based AI solutions, which diminishes the drive for exploratory or innovative AI developments [44][45] - Cultural factors contribute to the lack of ambition for developing universal AI platforms, contrasting with the more aggressive approaches seen in other countries [30][43]