Core Viewpoint - The environmental industry is undergoing a significant transformation, and a leading environmental company is establishing the first AI joint research institute in the sector to drive intelligent transformation and innovation [1][2]. Group 1: Industry Challenges and Opportunities - The environmental industry faces a dual challenge of increasing standards and rising public awareness, alongside low levels of intelligence and unutilized data value [2]. - There is a pressing need for refined operations and intelligent transformation within the industry, driven by the call to embrace AI and big data [2]. Group 2: Company Initiatives - The company, Hanlan Environment (600323), has over 20 years of experience in the environmental sector, with significant operations in waste treatment, energy supply, and water services [2]. - Hanlan processes nearly 100,000 tons of municipal waste daily and serves 54 cities across 20 provinces, providing a rich dataset for AI applications [2]. Group 3: AI Research Institute Focus - The AI joint research institute will focus on breakthroughs in models, algorithms, and application development, aiming to create a comprehensive knowledge base across all business segments [4]. - The institute aims to enhance operational efficiency and compliance through intelligent decision-making and data integration [4]. Group 4: Collaboration and Technology Integration - Hanlan collaborates with Ruibo Technology, a leading AI enterprise, to build an AI application platform that integrates the entire process from data to algorithms to applications [5]. - The partnership leverages advanced research resources from top institutions, enhancing the technological capabilities of the environmental sector [5]. Group 5: Future Development and Goals - The AI initiatives are designed to enhance the company's core business while achieving a technological leap and value enhancement [6]. - The research institute will develop proprietary business models and high-value scenario intelligence to improve operational efficiency and reduce costs [7]. - The ultimate goal is to create a reliable and transferable AI engine for the environmental industry, aiding partners lacking technology and resources [7]. Group 6: Regional Support and Broader Impact - The establishment of the AI joint research institute is supported by local government initiatives promoting AI across various industries [8]. - The integration of AI technology is expected to reshape the global competitiveness of China's environmental industry [8].

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].