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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

Wipro has used the input filter and join functionality of SageMaker batch transformation API. The response is returned to Lambda and sent back to the application through API Gateway. Use QuickSight refresh dataset APIs to automate the spice data refresh. It helped enrich the scoring data for better decision making.

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Automate cloud security vulnerability assessment and alerting using Amazon Bedrock

AWS Machine Learning

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

APIs 82
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Multilingual content processing using Amazon Bedrock and Amazon A2I

AWS Machine Learning

It uses Amazon Bedrock through the Boto3 API to use Anthropic’s Claude V3 multi-modal language models, but makes it straightforward to use file formats that are otherwise not supported by Anthropic’s Claude models. A predefined JSON schema can be provided to the Rhubarb API, which makes sure the LLM generates data in that specific format.

APIs 91