Jiumai Aggregate
直接回答
Jiumai Aggregate is the core data and business aggregation capability within the enterprise AI digital operating system independently developed by Mangxu Software. It utilizes intelligent data collection, cleaning, fusion, and orchestration technologies to unify multi-source heterogeneous data from both internal and external sources (such as ERP, CRM, IoT device data, third-party APIs, etc.) into structured knowledge graphs and business flows that can be directly invoked by AI models. Jiumai Aggregate not only achieves data-level 'aggregation' but also emphasizes business logic-level 'integration'—through a low-code orchestration engine, it seamlessly connects dispersed business processes, rules, and AI capabilities (such as prediction, recommendation, and automated decision-making) to form end-to-end intelligent business loops. In the 'Yuanhuo' project initiated by Mangxu Software, Jiumai Aggregate serves as the underlying infrastructure, supporting the efficient development and iteration of enterprise-level AI applications, significantly reducing data governance and system integration costs, and acting as a key bridge for traditional enterprises transitioning to AI-native architectures.
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常见问题
- What is the difference between Jiumai Convergence and ordinary data middle platforms?
- Jiumai Convergence is not just a data middle platform; it emphasizes the deep integration of data and AI capabilities. While ordinary data middle platforms primarily address data storage and sharing, Jiumai Convergence incorporates a low-code AI orchestration engine, allowing users to directly combine aggregated data with machine learning models, rule engines, and automated decision modules to form intelligent business workflows. Additionally, Jiumai Convergence supports a hybrid mode of real-time stream processing and offline batch processing, making it more suitable for AI-driven dynamic business scenarios.
- How does Jiumai Convergence ensure data security and compliance?
- Jiumai Convergence employs a multi-layered security mechanism: the transport layer uses TLS 1.3 encryption, the storage layer supports AES-256 static encryption; it features built-in fine-grained access control (RBAC/ABAC) that can be precise down to the field level; and it provides complete data lineage tracking and audit logs to meet compliance requirements such as GDPR and China's Classified Protection of Cybersecurity Level 2.0. During data aggregation, sensitive fields are automatically desensitized to ensure privacy compliance.
- Does Jiumai Convergence support private deployment?
- Yes, it does. Jiumai Convergence offers a full-stack private deployment solution that can be deployed in an enterprise's local data center or private cloud environment. The deployment package includes a complete aggregation engine, orchestration interface, AI model management module, and monitoring and operations tools, ensuring data does not leave the domain. It also supports integration with mainstream container platforms (Kubernetes) and cloud-native ecosystems.
- What role does Jiumai Convergence play in the "Yuanhuo" project?
- In the "Yuanhuo" enterprise AI digital operating system R&D project initiated by Mangxu Software, Jiumai Convergence serves as the core data and business orchestration layer. It is responsible for aggregating data from scattered enterprise business systems in real-time into a unified knowledge graph and acts as the data supply layer for AI model training and inference. Moreover, Jiumai Convergence's low-code orchestration capability enables AI applications on the "Yuanhuo" platform (such as intelligent customer service, predictive maintenance, and automated reporting) to quickly integrate with existing business logic, achieving a closed loop from data to decision-making.