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Transforming financial analysis with CreditAI on Amazon Bedrock: Octus’s journey with AWS

AWS Machine Learning Blog

We walk through the journey Octus took from managing multiple cloud providers and costly GPU instances to implementing a streamlined, cost-effective solution using AWS services including Amazon Bedrock, AWS Fargate , and Amazon OpenSearch Service.

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Integrate generative AI capabilities into Microsoft Office using Amazon Bedrock

AWS Machine Learning Blog

At Amazon Web Services (AWS), we recognize that many of our customers rely on the familiar Microsoft Office suite of applications, including Word, Excel, and Outlook, as the backbone of their daily workflows. Using AWS, organizations can host and serve Office Add-ins for users worldwide with minimal infrastructure overhead.

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Combine keyword and semantic search for text and images using Amazon Bedrock and Amazon OpenSearch Service

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OpenSearch Service is the AWS recommended vector database for Amazon Bedrock. Its a fully managed service that you can use to deploy, operate, and scale OpenSearch on AWS. Prerequisites For this walkthrough, you should have the following prerequisites: An AWS account. Ingest sample data to the OpenSearch Service index.

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Securing MLflow in AWS: Fine-grained access control with AWS native services

AWS Machine Learning Blog

In a previous post , we discussed MLflow and how it can run on AWS and be integrated with SageMaker—in particular, when tracking training jobs as experiments and deploying a model registered in MLflow to the SageMaker managed infrastructure. To automate the infrastructure deployment, we use the AWS Cloud Development Kit (AWS CDK).

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Access control for vector stores using metadata filtering with Knowledge Bases for Amazon Bedrock

AWS Machine Learning Blog

For production use, it is recommended to use a more robust frontend framework such as AWS Amplify , which provides a comprehensive set of tools and services for building scalable and secure web applications. The process is straightforward, thanks to the user-friendly interface and step-by-step guidance provided by the AWS Management Console.

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Configure cross-account access of Amazon Redshift clusters in Amazon SageMaker Studio using VPC peering

AWS Machine Learning Blog

With cloud computing, as compute power and data became more available, machine learning (ML) is now making an impact across every industry and is a core part of every business and industry. Amazon Redshift is a fully managed, fast, secure, and scalable cloud data warehouse.