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How Veritone uses Amazon Bedrock, Amazon Rekognition, Amazon Transcribe, and information retrieval to update their video search pipeline

AWS Machine Learning

Growing in the media and entertainment space, Veritone solves media management, broadcast content, and ad tracking issues. Amazon Transcribe The transcription for the entire video is generated using the StartTranscriptionJob API. The metadata generated for each video by the APIs is processed and stored with timestamps.

APIs 135
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Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning

All of this data is centralized and can be used to improve metrics in scenarios such as sales or call centers. For integration between services, we use API Gateway as an event trigger for our Lambda function, and DynamoDB as a highly scalable database to store our customer details.

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Semantic image search for articles using Amazon Rekognition, Amazon SageMaker foundation models, and Amazon OpenSearch Service

AWS Machine Learning

Amazon Rekognition makes it easy to add image analysis capability to your applications without any machine learning (ML) expertise and comes with various APIs to fulfil use cases such as object detection, content moderation, face detection and analysis, and text and celebrity recognition, which we use in this example.

APIs 123
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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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How Untold Studios empowers artists with an AI assistant built on Amazon Bedrock

AWS Machine Learning

The implementation uses Slacks event subscription API to process incoming messages and Slacks Web API to send responses. The incoming event from Slack is sent to an endpoint in API Gateway, and Slack expects a response in less than 3 seconds, otherwise the request fails. He has been helping customers at AWS for the past 4.5

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How Games24x7 transformed their retraining MLOps pipelines with Amazon SageMaker

AWS Machine Learning

Games24x7 is one of India’s most valuable multi-game platforms and entertains over 100 million gamers across various skill games. All the training and evaluation metrics were inspected manually from Amazon Simple Storage Service (Amazon S3). This is a guest blog post co-written with Hussain Jagirdar from Games24x7. cpu-py39-ubuntu20.04-sagemaker",

Scripts 107
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Use Amazon Titan models for image generation, editing, and searching

AWS Machine Learning

The advanced AI model understands complex instructions with multiple objects and returns studio-quality images suitable for advertising , ecommerce, and entertainment. An asynchronous API and Amazon OpenSearch Service connector make it easy to integrate the model into your neural search applications.

Scripts 131