Group 1: AI Technology Development - The company focuses on AI research areas including Large Language Models (LLM), Natural Language Processing (NLP), Knowledge Graphs (KG), Computer Vision (CV), and Optical Character Recognition (OCR) [2][3] - AI-related products and solutions launched include intelligent Q&A, intelligent data inquiry, intelligent filling, intelligent review, report generation, and intelligent image recognition [2][3] - The company has implemented numerous application scenarios, such as emergency response Q&A for power disasters and automatic generation of inspection reports [3][4] Group 2: Low-Code Development Platform - AI's emergence enhances the capabilities of the low-code development platform rather than replacing it, making AI integration a key trend [4] - The company has integrated AI automatic coding tools into its low-code platform to improve development efficiency [4] - A proprietary large model supporting private deployment has been developed to automate data model generation and form construction [4] Group 3: Market Expansion and Strategy - The company is expanding its digitalization experience from the power industry to sectors like petrochemicals, rail transportation, and aerospace, aiming to increase revenue share from these industries [5] - The strategy includes a "dual-wheel drive" approach, focusing on both industry-specific digital solutions and standardized software represented by the "AI low-code" development platform [5] Group 4: Workforce Structure - By the end of 2024, the company expects to have approximately 2,000 employees, a decrease due to strategic adjustments and optimization of personnel structure [6] - The workforce includes over 200 management and functional staff, with around 1,200 technical personnel divided into product R&D and project delivery teams [6]