Core Viewpoint - The rapid development of AI technology, particularly large model capabilities, is driving significant interest among enterprises in effectively applying AI to business scenarios for positive returns [1] Group 1: AI Implementation in Enterprises - Shenzhou Digital emphasizes the need for deep integration of AI into business processes to achieve scalable applications [1] - Dongfeng Lantu has implemented AI across various functions, including marketing and R&D, but faces challenges such as talent shortages, unclear application scenarios, and the need for value demonstration [2][3] - The automotive industry is increasingly recognizing the necessity of building enterprise-level AI platforms to adapt to rapid technological changes and enhance internal processes [4] Group 2: Challenges and Solutions in AI Adoption - Key challenges in AI application include the need for composite talent who understand both AI models and business, the high cost of trial and error in selecting application scenarios, and ensuring that AI initiatives provide real value to internal customers [2][3] - The establishment of an enterprise AI platform is crucial for managing sensitive knowledge and data, maximizing internal computing resources, and ensuring data security and system stability [4][5] Group 3: Innovations in Specific Sectors - In the carbon assessment industry, Jia Yue Smart is addressing efficiency challenges by leveraging AI to streamline the preparation of carbon assessment reports, which currently face issues such as data dispersion and high manual costs [7][8] - Shenzhou Digital is focusing on empowering businesses through AI by developing a self-service platform that includes various ready-to-use AI agents, facilitating the application of AI in real business scenarios [9] Group 4: Evolution of AI Capabilities - The evolution of AI in enterprises is categorized into four stages: language capability, cognitive deepening, behavioral capability, and innovative capability, with a focus on delivering efficient, low-perception intelligent services [10]