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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.

Wipro HOLMES™ E-KYC Controller Extractor

By: Wipro Limited Latest Version: 1c

Product Overview

A part of Wipro HOLMES™ E-KYC product, IEF Controller Extractor helps you to identify controllers (CEO, CTO, Chairman etc.) of an organization using the annual report of the organization. Currently annual reports of only '.pdf' form are supported. It is recommended that the model be used in batch transform mode wherein you can keep a base64 encoded file as part of the input schema in s3 bucket. Sample code on converting a file to Base64 string can be found in additional resources. Currently the model supports documents from Australia (AUS) & Canada (CAN) geographies.

Key Data

By Wipro Limited
Type Model Package
Fulfillment Methods Amazon SageMaker

Usage Information

Fulfillment Methods

Amazon SageMaker

End User License Agreement

By subscribing to this product you agree to terms and conditions outlined in the product End User License Agreement (EULA)

Support Information

Wipro HOLMES™ E-KYC Controller Extractor

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.

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