Core Insights - DingTalk has established a new business line focused on industry-specific models, reporting directly to CTO Zhu Hong, marking a significant move in its AI strategy following the return of founder Wu Zhao [1][2] - The company has engaged with multiple industry clients and is advancing several industry-specific models, emphasizing the need for tailored AI solutions for vertical industries [1][2] - DingTalk's AI capabilities have been enhanced since April, with the integration of large model foundational capabilities and the launch of an AI assistant in January 2024 [1][2] Group 1 - The establishment of the industry-specific model team reflects the ongoing implementation of large models in enterprise settings, addressing the challenges faced by businesses, particularly SMEs, in adopting AI [2] - DingTalk provides comprehensive model training and data engineering services for SMEs lacking AI talent, ensuring that the models are tailored to specific business scenarios [2] - The first successful deployment of a vertical model, the Doukou Gynecology model, improved diagnostic accuracy for six major gynecological symptoms from 77.1% to 90.2% [2] Group 2 - In addition to developing industry-specific models, DingTalk is revamping its application market to create a closed AI ecosystem, with plans to launch an AI Agent Store in April 2024 [3] - The company aims to enhance the Agent market by opening capabilities to more ISVs and enterprises, facilitating the development of Agent applications and commercializing them through DingTalk [3]