Workflow
AI原生多模态数据智能平台MatrixOne Intelligence(MOI)
icon
Search documents
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
Xin Lang Ke Ji· 2025-09-16 02:45
"AI不是孤立的模型,而是以数据为核心的智能生态。构建数据智能飞轮,让数据生智、智能反哺数 据,才能真正实现可落地的业务价值。"王龙表示。据他介绍,矩阵起源近期推出了两款战略级核心产 品——超融合异构云原生数据库MatrixOne(MO)与AI原生多模态数据智能平台MatrixOne Intelligence (MOI)。 新浪科技讯 9月16日上午消息,矩阵起源CEO王龙近日分享中指出,"当前AI行业正经历从模型能力不 足到基础设施不足的转变,核心业务AI价值实现率仍仅5%"。他指出,"企业落地AI的关键在于解决数 据割裂问题,通过数据智能飞轮构建AI驱动的数据反馈循环,提升落地效率并释放业务价值"。 责任编辑:屠欣怡 其中,MatrixOne以超融合架构为核心,将HTAP(混合事务/分析处理)、流处理、向量检索、全文搜 索原生整合到同一引擎中,从根本上消除了长期困扰企业的数据孤岛问题。此外,平台通过将版本管 理、分支、回滚、审计等软件工程理念引入数据管理,明显缩短了AI项目的开发周期,并加速跨团队 协作。 MOI定位下一代Data Infrastructure,技术对标Databricks+Snowfla ...
矩阵起源CEO王龙:“企业落地AI的关键在于解决数据割裂问题”
Sou Hu Cai Jing· 2025-09-13 13:56
Core Insights - The AI industry is transitioning from insufficient model capabilities to inadequate infrastructure, with only 5% of core business AI value being realized [1] - The key to implementing AI in enterprises lies in addressing data fragmentation issues through a data intelligence feedback loop [1] - Matrix Origin launched two strategic products: MatrixOne (MO) and MatrixOne Intelligence (MOI) to enhance data-driven AI applications [1][5] Product Overview - MatrixOne is designed to provide an evolving, integrative, and scalable data foundation, addressing the long-standing issue of data silos through a hyper-converged architecture [3] - The platform integrates HTAP, stream processing, vector retrieval, and full-text search into a single engine, significantly improving data management efficiency [3] - MatrixOne introduces a "data Git" paradigm, incorporating software engineering concepts into data management to shorten AI project development cycles [3] AI Native Multi-Modal Data Intelligence Platform - MatrixOne Intelligence (MOI) is positioned as the next-generation data infrastructure, aiming to bridge the gap in AI implementation for enterprises [5] - Despite an 80% survey coverage on AI adoption, less than 5% of enterprises achieve scalable applications due to fragmented core business data and high proportions of unstructured data [5] - MOI features five innovative capabilities, including a unified architecture for managing structured and unstructured data, and an Agentic data governance mechanism for automated data processing [5][6] Performance and Security Features - The platform can accurately parse non-structured data with a 94% accuracy rate, reducing manual processing by 80% [6] - It supports high-throughput, low-latency inference environments, ensuring stability for concurrent business scenarios [6] - MOI includes a "data branching + second-level recovery" mechanism and zero-downtime CDC capabilities to ensure data security and compliance in sensitive industries [6] Industry Collaboration and Ecosystem Development - Matrix Origin has partnered with various organizations to accelerate the commercialization of AI technologies across sectors like finance, manufacturing, and retail [8] - The company aims to create a "solution incubator" to promote innovative, scenario-driven solutions in collaboration with industry players [8] - The launch of MOI represents a new approach to overcoming the challenges of transitioning from AI concepts to practical implementations in enterprise digital transformation [8]