solutions media metadata-creation-translation 
AWS Machine Learning
AUGUST 3, 2022
Feature Store is a centralized store for features and associated metadata, allowing features to be easily discovered and reused by data scientist teams working on different projects or ML models. With Feature Store, you have always been able to add metadata at the feature group level. one-hot encoded: no or yes ).
AWS Machine Learning
JULY 19, 2022
Localizing content mainly includes translating original voices into new languages and adding visual aids such as subtitles. With the power of AWS machine learning (ML) services such as Amazon Transcribe , Amazon Translate , and Amazon Polly , you can create a viable and a cost-effective localization solution. Solution overview.
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AWS Machine Learning
DECEMBER 21, 2022
Amazon SageMaker Feature Store is a purpose-built feature management solution that helps data scientists and ML engineers securely store, discover, and share curated data used in training and prediction workflows. SageMaker Feature Store automatically builds an AWS Glue Data Catalog during feature group creation.
AWS Machine Learning
AUGUST 1, 2022
AWS introduced Amazon SageMaker Feature Store during AWS re:Invent 2020, which is a purpose-built, fully managed, centralized store for features and associated metadata. Overview of solution. The following diagram illustrates the process of feature creation and ingestion into Feature Store. About the authors.
AWS Machine Learning
SEPTEMBER 1, 2023
However, bringing such solutions and models to the business-as-usual operations is not an easy task. Specifically, they are responsible for standardizing CI/CD pipelines, user and service roles and container creation, model consumption, testing, and deployment methodology based on business and security requirements. words for English).
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