大模型应用落地白皮书：企业AI转型行动指南

Group 1 - The core viewpoint of the report indicates that large model technology has entered a critical phase of deep integration with business, with 64% of Chinese enterprises expecting their AI investments to grow by 10-30% [8][10] - The deployment cycle and application speed of large models in enterprises have exceeded expectations, with an average deployment period reduced to 6-12 months, especially in digitally advanced companies [9] - Enterprises are actively exploring business scenarios to unlock the value brought by large model deployment, aiming to create application practices that align with their development strategies [10] Group 2 - The report highlights that over 47% of enterprises believe that establishing reliable partnerships with leading large model vendors is key to project success [11] - The report emphasizes that large model technology is driving efficiency leaps and innovative experiences in enterprises, with a significant increase in investment and pilot projects [14][15] - IDC research indicates that 37.7% of surveyed enterprises are focusing on investing in AI large models, with expectations to introduce AI software and related training and services in the next three years [14] Group 3 - The report identifies multiple challenges faced by enterprises in deploying large models, including high costs, complex investments, and a lack of talent [28] - A significant 92% of enterprises consider the lack of computing resources as the biggest challenge in the engineering phase of large model deployment [28][29] - The report notes that 87% of enterprises believe that model accuracy does not meet deployment requirements, leading to difficulties in model selection and adaptation [31] Group 4 - Leading enterprises that have successfully deployed large models are already reaping benefits, with a clear revenue curve observed among early adopters [37] - The report describes a revenue curve indicating that the degree of AI adoption correlates with the benefits received, with higher investment leading to earlier returns [38] - Examples of successful implementations include SAIC Motor's use of large models to enhance customer feedback processing and improve service quality [42] Group 5 - The report outlines three stages for building comprehensive large model business deployment capabilities: planning and preparation, model deployment, and iterative optimization [52][56] - The planning stage emphasizes the need for clear initial intentions and resource assessment to support large model deployment [52] - The iterative optimization stage focuses on enhancing the effectiveness of AI applications and expanding their use across various business areas [59]