不止上新，OceanBase在AI时代的数据“寻宝”

Core Viewpoint - OceanBase is transitioning to an AI-driven era, focusing on integrating data and AI capabilities to enhance its product offerings and market position [1][5]. Group 1: AI Strategy and Product Development - OceanBase has introduced AI-driven products such as PowerRAG, which provides out-of-the-box RAG application development capabilities, facilitating quick development of various AI applications [3][5]. - The company aims to become an integrated data foundation for the AI era, with PowerRAG being the first step in this direction [3][5]. - OceanBase's "shared storage" product allows deep integration of object storage with transactional databases, potentially reducing storage costs by up to 500% [3][4]. Group 2: Market Context and Challenges - The global data generation is expected to reach 393.9 ZB by 2028, driven by technologies like generative AI, presenting significant challenges for data storage, management, and analysis [6]. - The database industry is facing intense price competition, with many companies relying on open-source technologies, leading to low profit margins [7]. - OceanBase acknowledges the importance of cost-effectiveness in the database sector, emphasizing that higher quality often accompanies better pricing strategies [7]. Group 3: Future Outlook and Data Quality - OceanBase is in the early stages of establishing a robust data foundation, which is crucial for future AI applications [6]. - The company recognizes the challenges associated with data quality and availability, which are critical for improving AI model performance [7]. - The integration of enterprise data with AI models is complex, and OceanBase is focused on addressing these challenges through its product offerings [7].