Hong Kong (ANTARA\/PRNewswire)- MirrorShip today announced the launch\nof MirrorShip Intelligence Platform (MIP), an enterprise AI data\nplatform that connects high-performance analytics, business semantics,\nand data agents. Building on MirrorShip\u2019s real-time analytics\nfoundation, MIP enables organizations to analyze data using defined\nbusiness metrics, governed access, and traceable query execution.<\/p>\n
As enterprises adopt AI agents, generating a query is only part of\nthe challenge. Reliable analysis also requires a clear understanding of\nhow metrics are calculated, how business data is related, and which\ninformation a user is authorized to access.<\/p>\n
At the launch, MirrorShip CEO Vincent Sun emphasized that enterprise\nAI must be grounded in real data, consistent business definitions, and\ntrusted data access. Rather than pursuing unrestricted question\nanswering, MIP focuses on verifiable analysis within defined business\ndomains, supported by human feedback and ongoing refinement.<\/p>\n
A shared platform for data, business context, and agents<\/p>\n
MIP comprises three layers\u2015MirrorData, MirrorMind, and\nMirrorPilot\u2015with MirrorControl providing governance, security, and\noperational management across the platform.<\/p>\n
MirrorData provides a unified data foundation for reporting,\napplications, and agent workloads. It combines MirrorBase, a real-time\nanalytics engine built primarily on StarRocks, with MirrorLake for open\nlakehouse storage. The platform supports queries across native tables\nand lake tables, including Paimon, Iceberg, and Hive, and combines\nstructured filtering, full-text search, and vector search for further\nanalysis.<\/p>\n
MirrorMind provides an enterprise semantic layer. Semantic Views\ndefine metrics, dimensions, relationships, and calculation rules, while\nKnowledge Context supplies supporting business rules, terminology,\ndocumentation, and analytical methods.<\/p>\n
MirrorPilot provides a data agent and an environment for running and\ndelivering agent-based analytics. Users can ask questions through a\nconversational interface or access the same capabilities through APIs\nintegrated into existing BI tools and business applications.<\/p>\n
MirrorControl supports access control, resource isolation, and\nauditing and observability of agent analysis.<\/p>\n
Demonstrations connect platform capabilities to business tasks<\/p>\n
During the launch, MIP Product Lead Yingting Dong demonstrated\nimage-based retrieval, semantic metric calculation, and retail business\nanalysis.<\/p>\n
A simulated after-sales workflow combined image similarity, text\ndescriptions, and date filters in a single SQL query. A separate\ncomparison showed how a Semantic View guided an agent to the correct\nbudget metric, rather than summing unrelated amount fields from a raw\ntable.<\/p>\n
Ecosystem perspectives on retrieval and enterprise implementation<\/p>\n
Ecosystem partners, including Alibaba Cloud, offered further\nperspectives on retrieval and enterprise AI adoption, complementing the\nevent\u2019s focus on MIP.<\/p>\n
With MIP, MirrorShip is extending its analytics foundation to help\nenterprises put existing data, business knowledge, and analytical\nmethods to work in AI applications. The company\u2019s approach focuses on\ndefined use cases, governed access, and results that users can inspect\nand validate.<\/p>\n
About MirrorShip<\/p>\n
MirrorShip connects real-time data, enterprise context, and governed\nagent execution so organizations can turn data and knowledge assets into\nverifiable, traceable, and controllable business intelligence.<\/p>\n
Source: MirrorShip<\/p>", "url": "https:\/\/jawawa.id\/newsitem\/mirrorship-launches-mip-an-enterprise-ai-data-platform-1793339421", "image": "" }, "sponsor": "Okusi Associates", "sponsor_url": "https:\/\/okusiassociates.com" }