Data Augmentation is a centralized engine allowing access for multiple structured or unstructured data
source in native or raw format without the need for a specific schema. Augmentation engine provides
services to normalize, consolidate, aggregate, consume and present information in configurable user
interface, actionable workflow, or source for analytics and machine learning processes. Unlike Data Lake
that stores multiple data sets, Augmentation recognize data sources, its access and transformation
methods, information is pulled on demand and can be cached as needed in Data Augmentation Server.
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Cloud AI Automated Document Transformation and Routing using Oracle AI and Machine learning
technologies. aiDocTrans enables companies to convert output from desktop application (PDF, MS-
Word, MS-Excel, HTML…) or media files (Vectors, PNG, JPG, TIFF……) into structured information ready
to be consumed by 3 rd party applications.
Process source document received via email, deposited in a cloud repository (Google Drive, One
Drive,Dropbox…) or pulled from an FTP or web site.
Apply conversion rule based on media type using OCR, Text, Forms Strategies
Perform automated document classification to associate extraction rules by document class
(Invoice, Receipts, Resume, Tax form, Check, Pay-slip)
Extract Text, Images, Forms, Dimensions, Layout to group and recognize information
Discover data association, value pairs, cells & columns, bounding polygons, media…
Apply field level conversion and mapping
Build logical data into buffer data base
Perform data validation based built-in data, entity rules or configurable cross reference
Optional on line extraction review, edits and approval
Route validated transaction to 3 rd party application