Bei Jing Shang Bao·2025-10-30 02:40Core Insights - AI is a significant driver of the intelligent economy, creating substantial value for enterprises [3] - The evolution of AI large models is progressing in two directions: enhancing intelligence capabilities and continuously reducing costs [3] - The implementation of AI is moving towards digital agents in the digital world and embodied intelligence in the physical world [3] Challenges in AI Implementation - The first challenge is computing power, which may become the most expensive cost for enterprises as AI permeates management processes [3] - The second challenge is that agents do not understand specific business contexts, particularly in the financial industry, which is a strong adopter of large models [3] Solutions Proposed - Three engineering approaches are suggested to address these challenges: - Model engineering to equip models with specialized knowledge - Data engineering to build data for intelligent applications - Application engineering to ensure deep business involvement [3]