矩阵起源CEO王龙：落地AI关键在解决数据割裂问题，应构建数据智能飞轮

Core Insights - The AI industry is transitioning from insufficient model capabilities to inadequate infrastructure, with the core business AI value realization rate currently at only 5% [1] - The key to implementing AI in enterprises lies in addressing data fragmentation issues and building an AI-driven data feedback loop to enhance deployment efficiency and unlock business value [1] Company Developments - Matrix Origin has launched two strategic core products: MatrixOne (MO), a hyper-converged heterogeneous cloud-native database, and MatrixOne Intelligence (MOI), an AI-native multimodal data intelligence platform [1] - MatrixOne integrates HTAP (Hybrid Transactional/Analytical Processing), stream processing, vector search, and full-text search into a single engine, fundamentally eliminating data silos that have long plagued enterprises [1] - The platform incorporates software engineering concepts such as version control, branching, rollback, and auditing into data management, significantly shortening AI project development cycles and accelerating cross-team collaboration [1] Product Features - MOI is positioned as the next-generation Data Infrastructure, technically comparable to Databricks and Snowflake [2] - MOI enhances intelligent data parsing capabilities, achieving a structured accuracy rate of 94% in parsing unstructured data such as PDFs, documents, and audio/video, which greatly surpasses traditional tools and mainstream large models, reducing manual processing by 80% [2]