AWS Machine Learning

NOVEMBER 14, 2024

We recently announced the general availability of cross-account sharing of Amazon SageMaker Model Registry using AWS Resource Access Manager (AWS RAM) , making it easier to securely share and discover machine learning (ML) models across your AWS accounts. Mitigation strategies : Implementing measures to minimize or eliminate risks.

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Government Management APIs Accountability 92

AWS Machine Learning

JUNE 19, 2024

The Slack application sends the event to Amazon API Gateway , which is used in the event subscription. API Gateway forwards the event to an AWS Lambda function. If you don’t have an AWS account, see How do I create and activate a new Amazon Web Services account? If you don’t have model permission, refer to Model access.

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APIs Engineering Accountability Big data 128

AWS Machine Learning

OCTOBER 29, 2024

A multi-account strategy is essential not only for improving governance but also for enhancing security and control over the resources that support your organization’s business. In this post, we dive into setting up observability in a multi-account environment with Amazon SageMaker.

Government 101

Government Metrics Accountability APIs 101

AWS Machine Learning

OCTOBER 2, 2024

It’s a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like Anthropic, Cohere, Meta, Mistral AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Government 121

Government APIs Enterprise Best practices 121

AWS Machine Learning

MAY 8, 2023

In this post, we address these limitations by implementing the access control outside of the MLflow server and offloading authentication and authorization tasks to Amazon API Gateway , where we implement fine-grained access control mechanisms at the resource level using Identity and Access Management (IAM).

APIs 83

APIs Government Accountability Scripts 83

AWS Machine Learning

JUNE 19, 2023

For provisioning Studio in your AWS account and Region, you first need to create an Amazon SageMaker domain—a construct that encapsulates your ML environment. 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

APIs Accountability Construction Enterprise 86

AWS Machine Learning

JUNE 12, 2024

This solution uses an Amazon Cognito user pool as an OAuth-compatible identity provider (IdP), which is required in order to exchange a token with AWS IAM Identity Center and later on interact with the Amazon Q Business APIs. Amazon Q uses the chat_sync API to carry out the conversation. A VPC where you will deploy the solution.

APIs 131

APIs Enterprise Accountability Feedback 131

AWS Machine Learning

JUNE 30, 2022

The corporate portal application makes a private API call using an API Gateway VPC endpoint to create a presigned URL. The API Gateway VPC endpoint “create presigned URL” call is forwarded to the Route 53 inbound resolver on the customer VPC as configured in the corporate DNS. About the Authors.

APIs 91

APIs Enterprise Big data Accountability 91

AWS Machine Learning

NOVEMBER 13, 2024

Because SageMaker Model Cards and SageMaker Model Registry were built on separate APIs, it was challenging to associate the model information and gain a comprehensive view of the model development lifecycle. We walk through an example notebook to demonstrate how you can use this unification during the model development data science lifecycle.

Government 105

Government Engineering Metrics APIs 105

AWS Machine Learning

JULY 29, 2022

It’s aligned with the AWS recommended practice of using temporary credentials to access AWS accounts. At the time of this writing, you can create only one domain per AWS account per Region. To implement the strong separation, you can use multiple AWS accounts with one domain per account as a workaround.

Management 89

Management APIs Accountability Construction 89

AWS Machine Learning

FEBRUARY 1, 2024

Ingesting from these sources is different from the typical data sources like log data in an Amazon Simple Storage Service (Amazon S3) bucket or structured data from a relational database. In the low-latency case, you need to account for the time it takes to generate the embedding vectors.

Best practices 134

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AWS Machine Learning

AUGUST 8, 2024

Prerequisites To implement the solution, you should have an AWS account , model access to your choice of FM on Amazon Bedrock, and familiarity with DynamoDB, Amazon RDS, and Amazon S3. After access is provided to a model, it is available for the users in the account. Access to Amazon Bedrock FMs isn’t granted by default.

Engineering 121

Engineering Accountability Feedback Construction 121

AWS Machine Learning

MARCH 22, 2023

An AWS account with permissions to create AWS Identity and Access Management (IAM) policies and roles. Access and permissions to configure IDP to register Data Wrangler application and set up the authorization server or API. For data scientist: An S3 bucket that Data Wrangler can use to output transformed data.

APIs 92

APIs Engineering Analytics Scripts 92

Natalie Petouhof

JULY 14, 2015

Tweet Managing your API’s has become a very complicated endeavor. If your role to is manage API’s it’s important to figure out how to automate that process. Today 3scale and Pivotal ® announced that the 3scale self-serve API management solution is available through the Pivotal Web Services (PWS) platform.

APIs 45

APIs Management Analytics Accountability 45

AWS Machine Learning

AUGUST 31, 2023

As you scale your models, projects, and teams, as a best practice we recommend that you adopt a multi-account strategy that provides project and team isolation for ML model development and deployment. Depending on your governance requirements, Data Science & Dev accounts can be merged into a single AWS account.

Government 117

Government Accountability Enterprise Best practices 117

AWS Machine Learning

APRIL 24, 2023

In this post, we explore how AWS customer Pro360 used the Amazon Comprehend custom classification API , which enables you to easily build custom text classification models using your business-specific labels without requiring you to learn machine learning (ML), to improve customer experience and reduce operational costs.

APIs 73

APIs Customer Experience Feedback Chatbots 73

AWS Machine Learning

NOVEMBER 6, 2024

in your editor and modify the STACK_NAME and CUSTOM_HEADER_VALUE variables: The stack name enables you to deploy multiple applications in the same account. He enjoys supporting customers in their digital transformation journey, using big data, machine learning, and generative AI to help solve their business challenges.

Construction 123

Construction APIs Big data Best practices 123

AWS Machine Learning

NOVEMBER 3, 2022

Before you get started, refer to Part 1 for a high-level overview of the insurance use case with IDP and details about the data capture and classification stages. In Part 1, we saw how to use Amazon Textract APIs to extract information like forms and tables from documents, and how to analyze invoices and identity documents.

Analytics 88

Analytics APIs Healthcare Big data 88

AWS Machine Learning

DECEMBER 21, 2022

The offline store data is stored in an Amazon Simple Storage Service (Amazon S3) bucket in your AWS account. SageMaker Feature Store automatically builds an AWS Glue Data Catalog during feature group creation. Table formats provide a way to abstract data files as a table. You can also use the FeatureGroup().put_record

Scripts 86

Scripts Engineering APIs Big data 86

AWS Machine Learning

AUGUST 29, 2023

This architecture design represents a multi-account strategy where ML models are built, trained, and registered in a central model registry within a data science development account (which has more controls than a typical application development account).

Scripts 85

Scripts APIs Enterprise Accountability 85

AWS Machine Learning

JUNE 24, 2022

After the data scientists have proven that ML can solve the business problem and are familiarized with SageMaker experimentation, training, and deployment of models, the next step is to start productionizing the ML solution. In the same account, Amazon SageMaker Feature Store can be hosted, but we don’t cover it this post.

Enterprise 118

Enterprise Engineering Accountability APIs 118

AWS Machine Learning

AUGUST 15, 2022

More specifically, we need to identify the customer’s savings and checking account numbers in the bank statement. The entities in this file are going to be specific to our business needs (savings and checking account numbers). Document is a wrapper function used to help parse the JSON response from the API. TDocumentSchema().load(response)

Banking 87

Banking APIs Accountability Analytics 87

AWS Machine Learning

NOVEMBER 27, 2023

However, these models require massive amounts of clean, structured training data to reach their full potential. Most real-world data exists in unstructured formats like PDFs, which requires preprocessing before it can be used effectively. According to IDC , unstructured data accounts for over 80% of all business data today.

Engineering 97

Engineering APIs Big data Accountability 97

AWS Machine Learning

MARCH 23, 2023

Applications and services can call the deployed endpoint directly or through a deployed serverless Amazon API Gateway architecture. To learn more about real-time endpoint architectural best practices, refer to Creating a machine learning-powered REST API with Amazon API Gateway mapping templates and Amazon SageMaker.

Scripts 121

Scripts APIs Government Analytics 121

AWS Machine Learning

JUNE 25, 2024

To replicate the dashboard in your AWS account, follow the contextual conversational assistant instructions to set up the prerequisite example prior to creating the dashboard using the steps below. Shelbee is a co-creator and instructor of the Practical Data Science specialization on Coursera.

Metrics 122

Metrics APIs Government Big data 122

AWS Machine Learning

AUGUST 26, 2022

We explore two ways of obtaining the same result: via JumpStart’s graphical interface on Amazon SageMaker Studio , and programmatically through JumpStart APIs. The following sections provide a step-by-step demo to perform semantic segmentation with JumpStart, both via the Studio UI and via JumpStart APIs. Solution overview.

APIs 90

APIs Scripts Enterprise Big data 90

AWS Machine Learning

OCTOBER 27, 2022

We can then call a Forecast API to create a dataset group and import data from the processed S3 bucket. We use the AutoPredictor API, which is also accessible through the Forecast console. When those datasets are ready, we can start to train the predictor. Ray Wang is a Solutions Architect at AWS.

APIs 98

APIs Best practices Metrics Government 98

AWS Machine Learning

JULY 24, 2023

They use big data (such as a history of past search queries) to provide many powerful yet easy-to-use patent tools. In this section, we show how to build your own container, deploy your own GPT-2 model, and test with the SageMaker endpoint API. implement the model and the inference API. gpt2 and predictor.py

APIs 78

APIs Engineering Construction Benchmark 78

AWS Machine Learning

AUGUST 31, 2023

As you scale your models, projects, and teams, as a best practice we recommend that you adopt a multi-account strategy that provides project and team isolation for ML model development and deployment. Depending on your governance requirements, Data Science & Dev accounts can be merged into a single AWS account.

Government 52

Government Accountability Enterprise Best practices 52

AWS Machine Learning

AUGUST 3, 2023

Finally, we show how you can integrate this car pose detection solution into your existing web application using services like Amazon API Gateway and AWS Amplify. For each option, we host an AWS Lambda function behind an API Gateway that is exposed to our mock application. Aamna Najmi is a Data Scientist with AWS Professional Services.

APIs 73

APIs Scripts Engineering Technical Support 73

AWS Machine Learning

SEPTEMBER 11, 2024

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. SIMD describes computers with multiple processing elements that perform the same operation on multiple data points simultaneously.

Benchmark 102

Benchmark Banking Analytics Big data 102

AWS Machine Learning

AUGUST 2, 2023

We demonstrate CDE using simple examples and provide a step-by-step guide for you to experience CDE in an Amazon Kendra index in your own AWS account. After ingestion, images can be searched via the Amazon Kendra search console, API, or SDK. About the Authors Charalampos Grouzakis is a Data Scientist within AWS Professional Services.

Enterprise 84

Enterprise Healthcare APIs Big data 84

Hodusoft

AUGUST 30, 2022

Businesses of every size, type, and industry can benefit from using cloud services for a variety of reasons such as: Data backup Software development and testing Email Disaster recovery Virtual desktops Big data analytics Customer-facing web applications, and more. The most popular cloud-based services: UCaaS, CCaas, and CPaaS.

Interactive Voice Response 52

Interactive Voice Response APIs Contact Center voip 52

AWS Machine Learning

DECEMBER 1, 2022

The Model dashboard is a centralized repository of all models that have been created in the account. Organizations can dive deep to identify which models have missing or inactive monitors and add them using SageMaker APIs to ensure all models are being checked for data drift, model drift, bias drift, and feature attribution drift.

Government 94

Government Metrics APIs Engineering 94

AWS Machine Learning

APRIL 19, 2023

This example notebook demonstrates the pattern of using Feature Store as a central repository from which data scientists can extract training datasets. In addition to creating a training dataset, we use the PutRecord API to put the 1-week feature aggregations into the online feature store nightly. Nov-01,22:01:00 1 74.99 …9843 99.50

Engineering 90

Engineering Analytics APIs Enterprise 90

AWS Machine Learning

JULY 19, 2022

We set the OutputFormat to mp3 , which tells Amazon Polly to generate an audio stream for this API call. We again use the start_speech_synthesis_task method but specify OutputFormat to json , which tells Amazon Polly to generate speech marks for this API call. Prerequisites. AWS Cloud Development Kit (AWS CDK). Deploy the solution.

Engineering 95

Engineering APIs Education Best practices 95

AWS Machine Learning

SEPTEMBER 6, 2023

Prerequisites To try out the Amazon Kendra connector for AEM using this post as a reference, you need the following: An AWS account with privileges to create AWS Identity and Access Management (IAM) roles and policies. To check, view the data sources and verify if the last sync was successful. Choose Save or Add Secret.

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Management Enterprise Analytics Finance 124