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Best practices for building secure applications with Amazon Transcribe

AWS Machine Learning

Amazon Transcribe is an AWS service that allows customers to convert speech to text in either batch or streaming mode. Amazon Transcribe can be used for transcription of customer care calls, multiparty conference calls, and voicemail messages, as well as subtitle generation for recorded and live videos, to name just a few examples.

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How BigBasket improved AI-enabled checkout at their physical stores using Amazon SageMaker

AWS Machine Learning

In this post, we discuss how BigBasket used Amazon SageMaker to train their computer vision model for Fast-Moving Consumer Goods (FMCG) product identification, which helped them reduce training time by approximately 50% and save costs by 20%. Store data in an Amazon Simple Storage Service (Amazon S3) bucket.

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Announcing the updated Microsoft SharePoint connector (V2.0) for Amazon Kendra

AWS Machine Learning

Amazon Kendra is a highly accurate and simple-to-use intelligent search service powered by machine learning (ML). Amazon Kendra offers a suite of data source connectors to simplify the process of ingesting and indexing your content, wherever it resides. Configure optional encryption settings and tags. Basic knowledge of AWS.

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Create high-quality datasets with Amazon SageMaker Ground Truth and FiftyOne

AWS Machine Learning

In this post, we show how to repurpose an existing dataset via data cleaning, preprocessing, and pre-labeling with a zero-shot classification model in FiftyOne , and adjusting these labels with Amazon SageMaker Ground Truth. You can use Ground Truth and FiftyOne to accelerate your data labeling project.

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How to redact PII data in conversation transcripts

AWS Machine Learning

In this blog post, we will review a solution to automatically redact PII data from a customer service conversation transcript. We will create an AWS Step Functions state machine, which orchestrates an Amazon Comprehend PII redaction job. You will provide the transcripts in the input Amazon S3 bucket. Deploy the sample solution.

APIs 81
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Use generative AI foundation models in VPC mode with no internet connectivity using Amazon SageMaker JumpStart

AWS Machine Learning

These FMs can perform a wide range of tasks that span multiple domains, like writing blog posts, generating images, solving math problems, engaging in dialog, and answering questions based on a document. Amazon SageMaker JumpStart is an ML hub offering algorithms, models, and ML solutions.

APIs 79
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Build an image search engine with Amazon Kendra and Amazon Rekognition

AWS Machine Learning

In this post, we discuss a machine learning (ML) solution for complex image searches using Amazon Kendra and Amazon Rekognition. Amazon Kendra is an intelligent search service powered by ML, and Amazon Rekognition is an ML service that can identify objects, people, text, scenes, and activities from images or videos.