从概念走向场景：百度智能云全球首个线下AI原生应用商店落户江苏

Core Insights - Baidu Smart Cloud has launched the world's first offline AI-native application store in Jiangsu Province, marking a significant step in transitioning AI applications from conceptual discussions to tangible experiences [1][3] - The AI application store aims to provide a visual and scenario-based AI experience space for government departments, enterprise clients, and innovation teams, facilitating the large-scale adoption of AI capabilities in various industries [1][3] Group 1 - The AI application store is a key platform for implementing the city's three-year AI industry development plan, aiming to gather high-quality AI applications and innovative companies to accelerate the integration of technology with local industries [1][3] - The goal is to achieve an AI output value exceeding 10 billion yuan by 2027, cultivate over 15 benchmark projects, and gather more than 100 related enterprises to build a regionally influential AI industry ecosystem [1][3] Group 2 - The AI application store serves as a hub for connecting AI capabilities with industry needs, integrating Baidu's AI technology, data capabilities from Shuzhe, and the ecological incubation functions of the innovation park [3][5] - The store aims to lower the barriers to AI application, empowering partners to innovate and creating a sustainable AI industry empowerment ecosystem [3][5] Group 3 - The application store features excellent AI application cases across four main areas: smart office, analytical decision-making, marketing services, and industry intelligence, allowing businesses to select AI products and solutions based on real usage effects [5][7] - The first batch of AI application service providers received awards at the launch event, and strategic cooperation agreements were signed between Baidu Smart Cloud, Shuzhe Technology, and several local enterprises [5][7] - Solutions incubated on the platform have already been implemented in various scenarios in Jurong, including smart park operations, lightweight intelligent data infrastructure construction, and enterprise grid management and analysis [5][7]