AI大厦需要新的地基！

Core Viewpoint - The article discusses the critical importance of data in the AI era, emphasizing the transition from traditional data infrastructure to an integrated data foundation that supports both AI and data processing [1][4][6]. Group 1: Importance of Data in AI - High-quality data is becoming increasingly scarce, particularly human-generated data, while new data generated by technologies like generative AI is surging [4]. - IDC predicts that global data generation will reach 393.9 ZB by 2028, growing at an average annual rate of nearly 28% from 147 ZB in 2024 [4][5]. - The challenges posed by data fragmentation, scalability, and real-time analysis capabilities are critical for the success of AI applications [4][6]. Group 2: Evolution of Data Infrastructure - The concept of data infrastructure is evolving from merely supporting AI to becoming an integral part of AI workflows, termed "Data×AI" [6]. - OceanBase aims to transition from a traditional database to an integrated data foundation that can handle mixed workloads and support AI applications [2][9]. Group 3: Challenges in Data Management - Data fragmentation is a significant issue, especially in complex industries like finance and healthcare, where data is dispersed across various systems [7]. - Multi-modal data processing is complicated due to the unique structures and characteristics of different data types, necessitating advanced data alignment and synchronization capabilities [7][8]. - Evaluating data quality is increasingly difficult due to the diversity and dynamism of data sources, requiring a robust and adaptable quality assessment system [8]. Group 4: OceanBase's Strategic Direction - OceanBase has made significant advancements in data processing capabilities, including distributed storage and multi-modal data handling [9][11]. - The company is focusing on four key areas: becoming a knowledge base, breaking down data silos, serving as a reliable AI advisor, and managing traffic fluctuations effectively [14]. - OceanBase has introduced a new RAG service, PowerRAG, which streamlines the process of identifying, segmenting, and embedding documents for AI applications [17][20]. Group 5: Market Position and Future Outlook - OceanBase has established itself as a leading open-source database, with over a million downloads and more than 50,000 deployments [21]. - The company is confident in its "Data×AI" strategy, believing that those who can effectively integrate data and AI will become the foundational data providers in the AI era [24][25]. - The database industry is evolving alongside AI, with OceanBase positioning itself to support the next generation of data infrastructure [26].