Remove 2022 Remove APIs Remove Big data
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Use Amazon SageMaker pipeline sharing to view or manage pipelines across AWS accounts

AWS Machine Learning

On August 9, 2022, we announced the general availability of cross-account sharing of Amazon SageMaker Pipelines entities. You can now use cross-account support for Amazon SageMaker Pipelines to share pipeline entities across AWS accounts and access shared pipelines directly through Amazon SageMaker API calls. Set up the environment.

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Onboard users to Amazon SageMaker Studio with Active Directory group-specific IAM roles

AWS Machine Learning

Sync your AD users and groups and memberships to AWS Identity Center: If you’re using an identity provider (IdP) that supports SCIM, use the SCIM API integration with IAM Identity Center. When the AD user is assigned to an AD group, an IAM Identity Center API ( CreateGroupMembership ) is invoked, and SSO group membership is created.

APIs 86
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How Amp on Amazon used data to increase customer engagement, Part 2: Building a personalized show recommendation platform using Amazon SageMaker

AWS Machine Learning

This is Part 2 of a series on using data analytics and ML for Amp and creating a personalized show recommendation list platform. The platform has shown a 3% boost to customer engagement metrics tracked (liking a show, following a creator, enabling upcoming show notifications) since its launch in May 2022. Solution overview. Conclusion.

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A review of purpose-built accelerators for financial services

AWS Machine Learning

In terms of resulting speedups, the approximate order is programming hardware, then programming against PBA APIs, then programming in an unmanaged language such as C++, then a managed language such as Python. In order to train transformer models on internet-scale data, huge quantities of PBAs were needed.

Benchmark 100
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How Amp on Amazon used data to increase customer engagement, Part 1: Building a data analytics platform

AWS Machine Learning

The personalized show recommendation list service has shown a 3% boost to customer engagement metrics tracked (such as liking a show, following a creator, or enabling upcoming show notifications) since its launch in May 2022. The data sources for Amp can be broadly categorized as either streaming (near-real time) or batch (point in time).

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Use Amazon SageMaker Model Card sharing to improve model governance

AWS Machine Learning

During AWS re:Invent 2022, AWS introduced new ML governance tools for Amazon SageMaker which simplifies access control and enhances transparency over your ML projects. The framework that gives systematic visibility into ML model development, validation, and usage is called ML governance.

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Maturidade na gestĂŁo da experiĂŞncia do cliente

Quadient

Thu, 07/21/2022 - 15:04. Os líderes digitais coletam dados e obtêm informações valiosas com a ajuda de modelos de dados padrão, Inteligência Artificial (IA) e análise de big data. Maturidade na gestão da experiência do cliente. j.shah-thiel. Introdução. Isto permite inovar mais rapidamente do que seus pares não digitais.

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