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].