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Best practices for building secure applications with Amazon Transcribe

AWS Machine Learning

Because these best practices might not be appropriate or sufficient for your environment, use them as helpful considerations rather than prescriptions. Applications must have valid credentials to sign API requests to AWS services. The customer data is cleaned up for both complete and failure cases.

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Common Challenges in Automated API Testing: Overcoming Obstacles with Expert Solutions

CSM Magazine

Automated API testing stands as a cornerstone in the modern software development cycle, ensuring that applications perform consistently and accurately across diverse systems and technologies. Continuous learning and adaptation are essential, as the landscape of API technology is ever-evolving.

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Drive efficiencies with CI/CD best practices on Amazon Lex

AWS Machine Learning

You liked the overall experience and now want to deploy the bot in your production environment, but aren’t sure about best practices for Amazon Lex. In this post, we review the best practices for developing and deploying Amazon Lex bots, enabling you to streamline the end-to-end bot lifecycle and optimize your operations.

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Secure Amazon SageMaker Studio presigned URLs Part 2: Private API with JWT authentication

AWS Machine Learning

In this post, we will continue to build on top of the previous solution to demonstrate how to build a private API Gateway via Amazon API Gateway as a proxy interface to generate and access Amazon SageMaker presigned URLs. The user invokes createStudioPresignedUrl API on API Gateway along with a token in the header.

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Get more out of SuccessBLOCS and APIs

Totango

Earlier this year we launched the SuccessBLOC marketplace to make finding best practices and templates easier. Stream Account & User Tag Information Using Customer Data Hub API. Now, tag information can be easily streamed to Totango via Customer Data Hub API. Save your spot . Have a wonderful safe week, Ravit

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Use AWS PrivateLink to set up private access to Amazon Bedrock

AWS Machine Learning

It allows developers to build and scale generative AI applications using FMs through an API, without managing infrastructure. You can choose from various FMs from Amazon and leading AI startups such as AI21 Labs, Anthropic, Cohere, and Stability AI to find the model that’s best suited for your use case.

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Customize Amazon Textract with business-specific documents using Custom Queries

AWS Machine Learning

In addition, we discuss the benefits of Custom Queries and share best practices for effectively using this feature. Refer to Best Practices for Queries to draft queries applicable to your use case. Adapters can be created via the console or programmatically via the API. What is the account#?

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