工业数据分析第一！骄阳·工业大模型WAIC大会首发，荣登SuperCLUE榜首

Core Insights - The "Jiaoyang Industrial Model" was officially launched at the 2025 World Artificial Intelligence Conference, showcasing its leading application capabilities in the industrial sector [1] - The model achieved a top score of 83.44 in the SC-Industry evaluation, ranking first in overall performance and excelling in application ability and industrial data analysis [1][2] - The model aims to address the challenges of data fragmentation and complex processing in industrial operations, facilitating a closed loop of "data-decision-execution" to enhance productivity [2][9] Group 1: Model Capabilities - The model features advanced document understanding, data analysis, and intelligent agent capabilities, which are essential for enhancing smart manufacturing productivity [2][5] - The "Industrial Document Q&A" capability provides precise information extraction from specialized industrial documents, supporting technical decision-making and process optimization [3][4] - The "Industrial Data Analysis" capability allows for in-depth analysis of production data, offering valuable insights for real-time production management and process optimization [4][5] Group 2: Intelligent Agent Functionality - The intelligent agent capability enhances automation and collaboration in complex industrial processes, reducing manual intervention costs and improving operational efficiency [5][6] - The model has demonstrated effective decision-making and task execution in real industrial environments, such as predictive maintenance that reduced unplanned downtime by 50% for a leading equipment manufacturer [7] Group 3: Challenges and Solutions - The development of industrial models faces challenges related to scene adaptability, including discrepancies between industrial knowledge and general model structures, and the need for high-quality, structured data [8][9] - North Electric Intelligence is addressing these challenges through industry collaboration and technological breakthroughs, focusing on establishing data standards and enhancing model recognition capabilities [8][9] - The company has built a high-quality data governance system and a compliant data management mechanism to support the digital transformation of the industrial sector [9]