
Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.
Product Overview
A part of Wipro HOLMES™ E-KYC product, Financials Extractor helps you to identify financial Information (Assets, Revenue, Currency, Date, Consolidated Assets, etc.) of an organization using the annual report of the organization. Currently annual reports of only PDF format are supported. Currently the model supports documents from US, CAN, SGP, HKG, AUS, IND geographies. The model takes input in Base64 encoding. Sample code on converting a file to Base64 string can be found in additional resources.
Key Data
Version | |
By | Wipro Limited |
Categories | |
Type | Model Package |
Fulfillment Methods | Amazon SageMaker
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Usage Information
Fulfillment Methods
Amazon SageMaker
End User License Agreement
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Support Information
AWS Infrastructure
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Refund Policy
Since you are not being charged currently for the use of this software there will be no refund of any charges.