Core Insights - AI is a significant driver of the intelligent economy, creating substantial value and necessitating a redesign of strategic planning, talent, and organizational mechanisms as companies can replicate expert intelligence at lower costs [3] Group 1: AI Evolution and Challenges - AI large models are evolving in two main directions: enhancing intelligent capabilities and continuously reducing costs to promote enterprise usage [3] - The first major challenge for AI implementation is computing power, which may become the most expensive cost for enterprises as AI permeates management processes, requiring a balance between "limited computing power" and "unlimited innovation" [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 but faces issues with agents lacking business knowledge [3] Group 2: Solutions for AI Implementation - Solutions to the challenges include three engineering approaches: model engineering to equip models with specialized knowledge, data engineering to build data for intelligent applications, and application engineering to ensure deep business involvement [3]