全国首个环保行业“AI超脑”落地南海

Core Viewpoint - The establishment of the first artificial intelligence joint research institute in the environmental protection industry aims to drive the intelligent transformation of the sector, addressing existing pain points and enhancing operational efficiency through AI technology [3][11]. Group 1: Industry Context - The environmental protection industry is undergoing a significant transformation, facing challenges such as low levels of intelligence and unutilized data value, necessitating a shift towards AI and big data integration [3][4]. - The industry is experiencing a revolution driven by increasing environmental standards and rising public awareness, creating both opportunities and challenges [3][4]. Group 2: Company Initiatives - The company has established the first AI joint research institute in the environmental sector, focusing on developing large models and intelligent application platforms [3][5]. - The institute will leverage the company's extensive operational data from waste treatment, energy supply, and water services, which includes processing nearly 100,000 tons of household waste daily across 54 cities [3][4]. Group 3: Research Focus Areas - The AI joint research institute will concentrate on three key areas: model development, algorithm research, and application innovation, aiming for breakthroughs in these domains [5][6]. - The initiative includes building proprietary large models and a comprehensive knowledge base that integrates data analysis across core business segments [6][9]. Group 4: Collaboration and Partnerships - The company has partnered with leading AI technology firms, including Ruibo Technology, to create an AI application platform that integrates the entire process from data collection to algorithm development [7][11]. - The collaboration aims to form a closed-loop technology system that accumulates AI and data assets for the company and the industry [7][9]. Group 5: Future Development Paths - The AI joint research institute will enhance the company's strategic decision-making and operational efficiency by integrating AI into its core business processes [9][10]. - The initiative aims to create a comprehensive digital management system that optimizes resource allocation and improves governance capabilities [10][11].