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| Layer | Description | Typical Technologies | |-------|-------------|----------------------| | | Scanning, ingestion APIs, email capture, mobile capture, IoT streams. | OCR engines, SharePoint/OneDrive APIs, Mulesoft, Azure Logic Apps. | | Intelligent Classification | Auto‑tagging, entity extraction, language detection. | Azure Cognitive Services, Google Cloud Document AI, OpenAI embeddings, Elastic Search. | | Dynamic Metadata Store | A graph or NoSQL store that evolves as new attributes appear. | Neo4j, Amazon Neptune, MongoDB, Azure Cosmos DB. | | Event Bus / Message Queue | Decouples producers and consumers; drives real‑time routing. | Kafka, Azure Event Hub, RabbitMQ. | | Process Orchestration | Low‑code/no‑code workflow engines that react to content events. | Camunda, Power Automate, n8n, Apache Airflow. | | Delivery & Presentation | Context‑aware UI components (portal, Teams bot, mobile app). | React/Angular front‑ends, Microsoft Teams Apps, SharePoint Framework. | | Governance & Security | Policy engine, retention, encryption, audit trails. | Cloud‑native IAM (Azure AD, Okta), Data Loss Prevention (DLP), Immutable storage. | | Analytics & Insight | Usage metrics, knowledge‑gap detection, ROI dashboards. | Power BI, Tableau, Grafana, Kibana. | ugoku ecm