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Build and train ML models using a data mesh architecture on AWS: Part 1

AWS Machine Learning

This is mainly targeting the data steward persona, who is responsible for streamlining and standardizing the process of sharing data between data producers and consumers and ensuring compliance with data governance rules. For more information, refer to Design a data mesh architecture using AWS Lake Formation and AWS Glue.

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Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

AWS Machine Learning

With SageMaker MLOps tools, teams can easily train, test, troubleshoot, deploy, and govern ML models at scale to boost productivity of data scientists and ML engineers while maintaining model performance in production. Regulations in the healthcare industry call for especially rigorous data governance.

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Metrics for evaluating an identity verification solution

AWS Machine Learning

Whether it’s registering at a website, transacting online, or simply logging in to your bank account, organizations are actively trying to reduce the friction their customers experience while at the same time enhance their security, compliance, and fraud prevention measures. Best practices and common mistakes to avoid.

Metrics 69
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FMOps/LLMOps: Operationalize generative AI and differences with MLOps

AWS Machine Learning

The infrastructure code for all these accounts is versioned in a shared service account (advanced analytics governance account) that the platform team can abstract, templatize, maintain, and reuse for the onboarding to the MLOps platform of every new team. 15K available FM reference Step 1.

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How to Successfully Implement Customer Journey Analytics

Pointillist

Pointillist can handle data in all forms, whether it is in tables, excel files, server logs, or 3rd party APIs. 3rd Party APIs: Pointillist has a large number of connectors using 3rd party APIs. The decision to conduct a paid pilot depends upon your company size, project scope, internal processes and governance.

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Integrate QnABot on AWS with ServiceNow

AWS Machine Learning

The workflow includes the following steps: A QnABot administrator can configure the questions using the Content Designer UI delivered by Amazon API Gateway and Amazon Simple Storage Service (Amazon S3). The Content Designer Lambda function saves the input in OpenSearch Service in a question’s bank index. Choose Create function.

Chatbots 102
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Announcing New Tools for Building with Generative AI on AWS

AWS Machine Learning

This is why customers like Intuit, Thomson Reuters, AstraZeneca, Ferrari, Bundesliga, 3M, and BMW, as well as thousands of startups and government agencies around the world, are transforming themselves, their industries, and their missions with ML.

APIs 145