Adeptia's Artificial Intelligence-based Data Mapping AIMap works on the principle of Machine Learning (ML) and leverages a repository of customer data maps that they have already created. AIMap reduces the effort required to configure data mapping rules and increases the accuracy by inferring mapping suggestions from the existing library of tested and validated data maps. It learns mapping patterns between existing data fields and trains a neural network to suggest future data mappings. It classifies predictions into High, Medium, and Low confidence mapping suggestions.
This section of AIMap contains following topics:
| Section | Description |
|---|---|
| Configuring AIMap | This section gives step wise instructions on how to enable or disable AIMap or configure various properties in AIMap. |
| AIMap Library | This section gives step wise instruction on how to add mappings to AIMap Library so that you can get better suggestions for further mappings. |
| Running AIMap | This section suggests how to run AIMap and what are various type of suggestions. |
| Reviewing AIMap Suggestions | This section guides on how to work (accept/reject) on revising the suggestions AIMap has given. |
| Limitations | This section gives information about the limitations of AIMap. |