Core Insights - The article highlights the integration of artificial intelligence (AI) into various sectors in Hangzhou's upper city area, showcasing the successful implementation of AI technologies in real-world scenarios [1][2]. Group 1: AI Opportunities and Implementation - A total of 77 "AI+" opportunity scenarios have been released in the upper city, covering key areas such as social governance, finance, and cultural tourism [1][2]. - The "scene-driven" strategy has been adopted to create a unique supply-demand matching platform, allowing frontline units to present real pain points while AI companies respond with advanced technologies [1][2]. Group 2: Successful Cases and Future Plans - Out of the first two batches of 27 scenarios, half have successfully been implemented, with over 10 scenarios from the latest batch entering negotiation stages [2]. - The total number of "AI+" opportunity scenarios is expected to reach 200 by the end of the year, addressing the issue of application scarcity for AI companies and enhancing public service quality through technological iteration [2][3]. Group 3: Specific Use Cases - In the field of urban management, a biodiversity monitoring system for the Gaotingshan Scenic Area has been initiated, utilizing video image recognition and bird sound recognition technologies [2]. - In the realm of public services, a traditional Chinese medicine company aims to implement AI-driven intelligent consultations to enhance service accessibility while preserving cultural heritage [3]. - A logistics company is seeking partnerships to upgrade its warehouse automation processes, aiming to improve efficiency and reduce costs through advanced technologies [3]. Group 4: Ongoing Initiatives and Ecosystem Development - The upper city plans to continuously collect "opportunity lists" and "capability lists" to create a closed-loop work system from demand matching to result promotion, establishing an "AI partner" service ecosystem [3]. - The launch event transitioned into a recruitment mode, facilitating direct discussions between companies and demand units to foster collaboration [3].