Core Insights - The event "Everlasting Data Expo 2025 Series Activities - Direct to Data Expo (Hangzhou)" was successfully held, showcasing the exploration and practices of the company in big data and artificial intelligence [1] - The company has positioned itself as a leader in the data intelligence sector, having been the first to appoint a Chief Data Officer in 2013 and listing on the Shenzhen Stock Exchange in 2019 [3] - The company anticipates that 85% of its revenue will come from data-related businesses by 2024, driven by the deep integration of data and artificial intelligence [3] Company Developments - The company launched several new products at last year's Data Expo, including Smart Green Wave, which has been deployed over 1,000 kilometers nationwide, improving traffic speed by over 20% [4] - The core exploration for this year is the "AI Station," a platform connecting application scenarios, diverse data sources, and cloud models, aimed at ensuring security and connectivity [4] - The company is also enhancing the capabilities of quadruped robots by integrating large models into their control systems, allowing for voice command recognition and interaction [5] Future Plans - The company aims to create a "Data Station" to maximize the value of industrial data and public data resources, serving sectors such as healthcare, transportation, and finance [5] - There is a strong expectation for the upcoming 2025 Data Expo, with hopes for increased collaboration and discussion among partners in the artificial intelligence field [5]

Group 1: Company Overview and Financial Performance - The company reported approximately 100 million in revenue for Q1 2025, maintaining overall stability, although profits declined due to cost impacts [2] - The amortization of data assets follows a "water drop" accelerated method, reflecting the timeliness of data value [2] - The company has made significant investments in AI, being early partners with major models like ChatGPT and has appointed a Chief AI Officer [2][3] Group 2: AI and Product Development - The company is actively developing AI applications across various sectors, including public services, with products like the "Strong Country Document Assistant" aimed at improving document writing efficiency [3][5] - In the To B and To G sectors, the company focuses on creating effective products in vertical markets, leveraging strategic partnerships to meet real customer needs [3][4] - The company has initiated pilot projects for the "Strong Country Document Assistant" and plans to expand its SaaS services nationwide [5] Group 3: Financial Health and Business Model - Accounts receivable have increased, with a longer collection cycle but remaining within a reasonable range [4] - The company is transitioning from project-based to product and service-oriented models, aiming for a structure where 70% are standard products, 20% implementation, and 10% customization [4] - The commercial model for the "Strong Country Document Assistant" is still being explored, with potential for nationwide SaaS deployment [5] Group 4: Data and AI Resource Allocation - The company has invested several million in AI computing resources, including high-value graphics cards for internal development and customer deployment [7] - The focus is on not hoarding computing power but rather configuring it based on demand, including the development of a low-cost "sub-mother machine" for efficient deployment [7] Group 5: Future Outlook and Strategic Focus - The company emphasizes the importance of data elements and AI, with a structured approach to AI business development planned for 2025 [10] - The strategy includes a focus on "open-source large models + closed-source small data" as a future direction, aiming to create a "flywheel" effect for growth [10]

Core Viewpoint - The National Data Bureau has launched 70 key public data demonstration scenarios to enhance the development and utilization of public data, with Meiri Hudong's project recognized as a significant example [1][2]. Group 1: Public Data Development - The initiative aims to streamline the supply, circulation, and utilization of public data, creating replicable and scalable models that yield substantial social benefits and strong industrial impacts [1]. - Meiri Hudong's participation in the project reflects its commitment to the public data sector and its role in driving innovation in data utilization [2]. Group 2: Industry Applications - Meiri Hudong has been actively involved in the industrial application of public data, particularly in smart transportation and healthcare, achieving a 20% improvement in urban traffic efficiency through its "Smart Green Wave" product [2]. - The company is advancing its "Data Station" strategy, leveraging technologies like privacy computing and blockchain to create a trustworthy data space, facilitating deep integration of public and industrial data [2].

Core Viewpoint - Daily Interaction (300766.SZ), known as the "first domestic data intelligence stock," has reported significant growth in data resource integration, with 87.58% of its revenue coming from data factor monetization as of the end of the reporting period [1][3]. Group 1: Financial Performance - As of the end of the reporting period, Daily Interaction's data resources amounted to 43.691 million yuan, fully accounted for as intangible assets [1]. - The total revenue for Daily Interaction in 2024 was 470 million yuan, representing a year-on-year increase of 9.4% [8]. - The net profit attributable to the parent company was -64.755 million yuan, a decrease of 29.69% year-on-year, primarily due to penalties for information disclosure violations [8]. Group 2: Business Transformation - Daily Interaction has transitioned its main business focus to the data factor sector, with revenue from the internet industry accounting for 27.94% and government services making up 63.65% of total revenue [3]. - The company has accumulated over 1.15 billion installations of its developer service SDK, covering more than 1 billion devices, with daily active independent devices exceeding 400 million [3]. Group 3: Government Services - The public service segment primarily provides SaaS services and data solutions to government departments, covering over 2,900 districts and counties nationwide as of June 2024 [6]. - The high proportion of government service revenue has led to challenges such as long payment cycles, with accounts receivable reaching 165 million yuan, a year-on-year increase of 28.9% [6]. Group 4: Data Products and Innovations - Daily Interaction is actively involved in public data authorization operations in sectors like transportation and healthcare, developing various data products and industry-specific models [8].