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

AWS Machine Learning

ML Engineer at Tiger Analytics. 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.

APIs 125
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Streamline RAG applications with intelligent metadata filtering using Amazon Bedrock

AWS Machine Learning

In some use cases, particularly those involving complex user queries or a large number of metadata attributes, manually constructing metadata filters can become challenging and potentially error-prone. The extracted metadata is used to construct an appropriate metadata filter. it will extract “strategy” (genre) and “2023” (year).

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Supercharge your AI team with Amazon SageMaker Studio: A comprehensive view of Deutsche Bahn’s AI platform transformation

AWS Machine Learning

At Deutsche Bahn, a dedicated AI platform team manages and operates the SageMaker Studio platform, and multiple data analytics teams within the organization use the platform to develop, train, and run various analytics and ML activities.

APIs 124
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Build a receipt and invoice processing pipeline with Amazon Textract

AWS Machine Learning

The next stage is the extraction phase, where you pass the collected invoices and receipts to the Amazon Textract AnalyzeExpense API to extract financially related relationships between text such as vendor name, invoice receipt date, order date, amount due, amount paid, and so on. It is available both as a synchronous or asynchronous API.

APIs 117
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Best Software for Speech Analytics

JustCall

Speech analytics software analyses live or recorded calls and interpret emotional indicators. Speech analytics software uses artificial intelligence to analyze spoken language similar to voice recognition software. What is Speech analytics? Significance of Speech Analytics. Some Best Speech Analytics Software.

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Achieve operational excellence with well-architected generative AI solutions using Amazon Bedrock

AWS Machine Learning

It’s a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like Anthropic, Cohere, Meta, Mistral 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.

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Dynamic video content moderation and policy evaluation using AWS generative AI services

AWS Machine Learning

The frontend UI interacts with the extract microservice through a RESTful interface provided by Amazon API Gateway. The UI constructs evaluation prompts and sends them to Amazon Bedrock LLMs, retrieving evaluation results synchronously. Detect generic objects and labels using the Amazon Rekognition label detection API.