How ERP Semantic Mining works with Zero Copy Connector for ERP and remote tables

  • Release version: Australia
  • Updated March 12, 2026
  • 2 minutes to read
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    Summary of How ERP Semantic Mining works with Zero Copy Connector for ERP and remote tables

    Zero Copy Connector for ERP allows you to connect your ServiceNow AI Platform to your ERP system of record and organize its data efficiently. ERP Semantic Mining helps identify suitable candidates for replatforming ERP data onto the ServiceNow platform by analyzing data accessed via remote and extraction tables.

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    Note that from the Zurich release onwards, ERP Semantic Mining is being deprecated: it will be hidden and not activated on new instances but remains supported for existing users.

    How ERP Semantic Mining Facilitates Replatforming

    ERP Semantic Mining suggests candidates for migrating ERP data and recommends next steps such as updating remote and extraction tables. Remote tables fetch data from external sources and deliver it as attachments to the ServiceNow instance, where AI/ML analyzes the data to identify similar replatforming candidates.

    Once candidates are identified and actions are taken in ERP Semantic Mining, you should use Zero Copy Connector for ERP exclusively to access remote and extraction tables, which serve as the data sources for building ServiceNow apps, flows, and workspaces.

    Using Remote Tables and Extraction Tables with Zero Copy Connector for ERP

    • Remote tables: Define the schema for data fetched from external systems such as your ERP system. They connect ServiceNow AI Platform to third-party sources or other instances via REST or SOAP services. Remote tables provide read-only, in-memory access to external data, enabling you to view, filter, sort, and process this data like internal tables without importing or storing it permanently.
    • Extraction tables: Designed for handling large volumes of ERP data, these tables regularly save data locally in transform tables on the ServiceNow AI Platform. This enables processing and use of the data as the foundation for replatformed applications.

    Practical Benefits for ServiceNow Customers

    By leveraging ERP Semantic Mining along with the Zero Copy Connector for ERP, you can efficiently identify and migrate ERP data to the ServiceNow AI Platform. This enables building modern apps and workflows based on ERP data without heavy data duplication, offering transient, real-time data access via remote tables for smaller datasets and scalable local storage for large datasets through extraction tables.

    Zero Copy Connector for ERP enables you to connect to your ERP (Enterprise Resource Planning) system of record, and to organize its data.

    Important:
    Starting with the Zurich release, ERP Semantic Mining is being prepared for future deprecation. It will be hidden and no longer activated on new instances but will continue to be supported.

    ERP Semantic Mining enables you to find good candidates for replatforming from the system of record to the ServiceNow AI Platform.

    ERP Semantic Mining suggests candidates and possible next steps, such as updating remote tables and extraction tables to access ERP data. Remote tables send data to the ServiceNow instance as an attachment, which is then analyzed using AI/ML to identify similar candidates to replatform.

    After you have identified candidates to replatform and taken the recommended action in ERP Semantic Mining, you must only use Zero Copy Connector for ERP to access the remote tables and extraction tables. These tables are data sources for building apps, flows, and workspaces.

    Using remote tables and extraction tables with Zero Copy Connector for ERP and ERP Semantic Mining

    You can use a combination of remote tables and extraction tables to retrieve data from your legacy ERP system.
    • Remote tables get their records from running an associated script against an external data source.
    • Extraction tables retrieve large amounts of data using a scheduled query, and use transform tables to process data for use on the ServiceNow AI Platform.

    Remote tables describe the schema for the data that you want to retrieve from an external source, such as the system of record. Use remote tables to connect the ServiceNow AI Platform to third-party sources, or to another instance, so that you can retrieve external data and optionally cache it in the memory. You can view external data in lists or forms and process it with standard Glide scripts. You can also group, sort, aggregate, and filter the data just like you would for standard internal tables.

    By using a remote table, you can retrieve the data from external sources or from another instance with REST or SOAP services. The external data lives in the memory in read-only mode, which makes the data temporary, or transient, within the ServiceNow AI Platform. You can then view and manipulate the external data without importing or storing it. For more information, see .

    Use an extraction table to work with large amounts of ERP data. ERP extraction tables regularly save data to a local transform table on the ServiceNow AI Platform, which you can then process and use as the data foundation of a replatformed app.