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Build an Amazon SageMaker Model Registry approval and promotion workflow with human intervention

AWS Machine Learning

The solution uses AWS Lambda , Amazon API Gateway , Amazon EventBridge , and SageMaker to automate the workflow with human approval intervention in the middle. The approver approves the model by following the link in the email to an API Gateway endpoint. API Gateway invokes a Lambda function to initiate model updates.

APIs 102
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Optimize pet profiles for Purina’s Petfinder application using Amazon Rekognition Custom Labels and AWS Step Functions

AWS Machine Learning

Purina US, a subsidiary of Nestle, has a long history of enabling people to more easily adopt pets through Petfinder , a digital marketplace of over 11,000 animal shelters and rescue groups across the US, Canada, and Mexico. Purina’s solution is deployed as an API Gateway HTTP endpoint, which routes the requests to obtain pet attributes.

APIs 98
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Build a news recommender application with Amazon Personalize

AWS Machine Learning

A Lambda function performs the same data transformation operations as the batch ingestion job at the individual record level, and ingests the data into Amazon Personalize using the PutEvents and PutItems APIs. For more information about these metrics, see Evaluating a solution version with metrics.

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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

Feature engineering tasks can also be prepared in Data Wrangler, but the client specifically asked for SageMaker processing jobs and AWS Step Functions because they were more comfortable using those technologies. Wipro has used the input filter and join functionality of SageMaker batch transformation API.

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Live Meeting Assistant with Amazon Transcribe, Amazon Bedrock, and Knowledge Bases for Amazon Bedrock

AWS Machine Learning

When the user is authenticated, the web application establishes a secure GraphQL connection to the AWS AppSync API, and subscribes to receive real-time events such as new calls and call status changes for the meetings list page, and new or updated transcription segments and computed analytics for the meeting details page.

APIs 112
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Build well-architected IDP solutions with a custom lens – Part 2: Security

AWS Machine Learning

Design principles The Security Pillar encompasses the ability of an IDP solution to protect input documents, document processing systems, and output assets, taking advantage of AWS technologies to improve security while processing documents intelligently. This parameter allows you to specify the S3 bucket for storing the output.

APIs 85
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Bilingual Customer Support: Where Live Agents and AI Coincide

BlueOcean

Customer saves are a key metric, and we outperformed the previous partner, with nearly ten years’ experience under their belt, right out of the gate, realizing a nearly 5% increase in retention during our first quarter in production. The value of that improved metric plays a big role in the client’s bottom line.