AWS Machine Learning

NOVEMBER 16, 2022

When designing production CI/CD pipelines, AWS recommends leveraging multiple accounts to isolate resources, contain security threats and simplify billing-and data science pipelines are no different. Some things to note in the preceding architecture: Accounts follow a principle of least privilege to follow security best practices.

Accountability 92

Accountability Best practices Scripts Engineering 92

AWS Machine Learning

NOVEMBER 13, 2024

The Amazon Bedrock single API access, regardless of the models you choose, gives you the flexibility to use different FMs and upgrade to the latest model versions with minimal code changes. Amazon Titan FMs provide customers with a breadth of high-performing image, multimodal, and text model choices, through a fully managed API.

Engineering 109

Engineering Management APIs Healthcare 109

AWS Machine Learning

SEPTEMBER 23, 2024

To use a specific LLM from Amazon Bedrock, SageMaker Canvas uses the model ID of the chosen LLM as part of the API calls. Limit access to all Amazon Bedrock models To restrict access to all Amazon Bedrock models, you can modify the SageMaker role to explicitly deny these APIs. This way, users can only invoke the allowed models.

Government 108

Government Enterprise APIs Accountability 108

AWS Machine Learning

JULY 17, 2023

As described in the AWS Well-Architected Framework , separating workloads across accounts enables your organization to set common guardrails while isolating environments. Organizations with a multi-account architecture typically have Amazon Redshift and SageMaker Studio in two separate AWS accounts.

Accountability 77

Accountability APIs Best practices Management 77

AWS Machine Learning

AUGUST 27, 2024

Moreover, this capability prioritizes the connected Amazon Bedrock API source/primary region when possible, helping to minimize latency and improve responsiveness. Compatibility with existing Amazon Bedrock API No additional routing or data transfer cost and you pay the same price per token for models as in your source/primary region.

APIs 140

APIs Engineering Best practices Management 140

AWS Machine Learning

SEPTEMBER 3, 2024

By using the Livy REST APIs , SageMaker Studio users can also extend their interactive analytics workflows beyond just notebook-based scenarios, enabling a more comprehensive and streamlined data science experience within the Amazon SageMaker ecosystem. elasticmapreduce", "arn:aws:s3:::*.elasticmapreduce/*" elasticmapreduce", "arn:aws:s3:::*.elasticmapreduce/*"

Big data 108

Big data Engineering Accountability Real estate 108

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 81

APIs Government Accountability Scripts 81

AWS Machine Learning

JULY 10, 2024

Prerequisites To use this feature, make sure you have satisfied the following requirements: An active AWS account. Prerequisites To use this feature, make sure you have satisfied the following requirements: An active AWS account. Anthropic Claude 3 Haiku enabled in Amazon Bedrock.

APIs 128

APIs Airlines Metrics Engineering 128

AWS Machine Learning

MARCH 15, 2023

The best practice for migration is to refactor these legacy codes using the Amazon SageMaker API or the SageMaker Python SDK. Step Functions is a serverless workflow service that can control SageMaker APIs directly through the use of the Amazon States Language. We do so using AWS SDK for Python (Boto3) CreateProcessingJob API calls.

Scripts 136

Scripts APIs Engineering Construction 136

AWS Machine Learning

JANUARY 25, 2024

In this post, we walk you through the process to deploy Amazon Q business expert in your AWS account and add it to Microsoft Teams. In the following sections, we show how to deploy the project to your own AWS account and Teams account, and start experimenting! For Who can use this application or access this API?

Accountability 133

Accountability APIs Management Engineering 133

AWS Machine Learning

JUNE 15, 2023

We demonstrate how to use the AWS Management Console and Amazon Translate public API to deliver automatic machine batch translation, and analyze the translations between two language pairs: English and Chinese, and English and Spanish. In this post, we present a solution that D2L.ai

APIs 88

APIs Benchmark Best practices Engineering 88

AWS Machine Learning

SEPTEMBER 19, 2023

The challenge The VirtuSwap Minerva engine creates recommendations for optimal distribution of liquidity between different liquidity pools, while taking into account multiple parameters, such as trading volumes, current market liquidity, and volatilities of traded assets, constrained by a total amount of liquidity available for distribution.

APIs 134

APIs Accountability Engineering Technology 134

AWS Machine Learning

JULY 2, 2024

The following GitHub repository provides a guided notebook that you can follow to deploy this example in your own account. To start, you will create an Amazon Cognito user pool that will store the doctor user accounts. The following code snippet demonstrates how to call the retrieve_and_generate API using the Boto3 library in Python.

Healthcare 122

Healthcare APIs Government Accountability 122

AWS Machine Learning

APRIL 5, 2023

Amazon Rekognition makes it easy to add this capability to your applications without any machine learning (ML) expertise and comes with various APIs to fulfil use cases such as object detection, content moderation, face detection and analysis, and text and celebrity recognition, which we use in this example.

APIs 90

APIs Entertainment Personalization Accountability 90

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 85

Management APIs Accountability Construction 85

AWS Machine Learning

APRIL 16, 2024

IAM role that is used by the bot at runtime BotRuntimeRole: Type: AWS::IAM::Role Properties: AssumeRolePolicyDocument: Version: "2012-10-17" Statement: - Effect: Allow Principal: Service: - lexv2.amazonaws.com For more information, refer to Enabling custom logic with AWS Lambda functions.

Management 105

Management Construction APIs Chatbots 105

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 82

APIs Accountability Construction Enterprise 82

AWS Machine Learning

FEBRUARY 6, 2024

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). Amazon Lex V2 getting started- Streaming APIs]([link] Expand the Advanced section and enter the same answer under Markdown Answer.

Chatbots 124

Chatbots APIs Self service Banking 124

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 111

Government Accountability Enterprise Best practices 111

AWS Machine Learning

AUGUST 4, 2023

The following steps give an overview of how to use the new capabilities launched in SageMaker for Salesforce to enable the overall integration: Set up the Amazon SageMaker Studio domain and OAuth between Salesforce and the AWS account s. frameworks to restrict client access to your APIs. Select Enable OAuth Settings.

APIs 89

APIs Scripts Management Accountability 89

AWS Machine Learning

DECEMBER 1, 2022

Administrators can now provision multiple SageMaker domains in order to separate different lines of business or teams within a single AWS account. However, if you want to update existing resources to facilitate resource isolation, administrations can use the add-tag SageMaker API call in a script. experiments=`aws --region $REGION.

APIs 75

APIs Engineering Scripts Accountability 75

AWS Machine Learning

JUNE 28, 2022

The input data is a multi-variate time series that includes hourly electricity consumption of 321 users from 2012–2014. To try out the solution in your own account, make sure that you have the following in place: An AWS account to use this solution. If you don’t have an account, you can sign up for one.

Metrics 88

Metrics Healthcare Transportation Accountability 88

AWS Machine Learning

JANUARY 9, 2023

Amazon Kendra Intelligent Ranking application programming interface (API) – The functions from this API are used to perform tasks related to provisioning execution plans and semantic re-ranking of your search results. For this tutorial, you’ll need a bash terminal on Linux , Mac , or Windows Subsystem for Linux , and an AWS account.

Scripts 94

Scripts APIs Engineering Transportation 94

AWS Machine Learning

MARCH 30, 2023

You can get started without any prior ML experience, using APIs to easily build sophisticated personalization capabilities in a few clicks. For any parameter values that are greater than 2 hours, Amazon Personalize automatically refreshes the trending item recommendations every 2 hours to account for new interactions and new items.

Personalization 93

Personalization APIs Accountability Engineering 93

AWS Machine Learning

NOVEMBER 23, 2022

Before you get started, make sure you have the following prerequisites: An AWS account. Upload both files to an S3 bucket in your account and region. Your Studio user’s execution role needs to be updated to allow the GetClusterSessionCredentials API action. The cluster is pre-created in the account. Prerequisites.

Scripts 89

Scripts APIs Engineering Sales 89

AWS Machine Learning

MARCH 15, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon via a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

APIs 136

APIs Engineering Technology CRM 136

JivoChat

AUGUST 7, 2023

Brevo Overview In 2012, Sendinblue was launched as a newsletter service, along the years the company has expanded its service considerably, which led to the name change, as well, Brevo. Enter your account, click on “create a subscription form”, then design it the way you want. And, that’s what this tool is for.

APIs 75

APIs Sales CRM Analytics 75

Nexmo

FEBRUARY 14, 2020

Nexmo account. AWS account. You’ll need an AWS account, as well as IAM credentials associated with a user who has access to Amazon Transcribe and AWS S3. Toward the bottom of the page, there will be a list of available numbers in the account. preferred). Composer installed globally (more details later).

Scripts 120

Scripts Accountability APIs Management 120

AWS Machine Learning

AUGUST 17, 2023

In the processing job API, provide this path to the parameter of submit_jars to the node of the Spark cluster that the processing job creates. You can use the API to create a dataset from a single or multiple feature groups, and output it as a CSV file or a pandas DataFrame.

APIs 85

APIs Engineering Scripts Analytics 85

AWS Machine Learning

DECEMBER 1, 2022

They have a wide variety of personas to account for, each with their own unique sets of needs, and building the right sets of permissions policies to meet those needs can sometimes be an inhibitor to agility. Sometimes administrators give access to the console for ML practitioners to debug issues with their Studio environment.

Management 84

Management Government Enterprise APIs 84

AWS Machine Learning

DECEMBER 14, 2023

After you stop the Space, you can modify its settings using either the UI or API via the updated SageMaker Studio interface and then restart the Space. It’s also important to note that these EBS volumes are hosted within the service account, so you won’t have direct visibility.

APIs 118

APIs Engineering Management Scripts 118

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

JUNE 6, 2023

Prerequisites Make sure you meet the following prerequisites: You have an AWS account. When selecting the AMI, follow the release notes to run this command using the AWS Command Line Interface (AWS CLI) to find the AMI ID to use in us-west-2 : #STEP 1.2 - This requires AWS CLI credentials to call ec2 describe-images api (ec2:DescribeImages).

Scripts 80

Scripts APIs Benchmark Management 80

AWS Machine Learning

NOVEMBER 15, 2022

This preparation process is largely undifferentiated and tedious work, and can involve multiple programming APIs and custom libraries. Data scientists can spend up to 80% of their time preparing data for machine learning (ML) projects.

Engineering 80

Engineering APIs Management Accountability 80

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. in 2012 is now widely referred to as ML’s “Cambrian Explosion.” The CUDA API and SDK were first released by NVIDIA in 2007.

Benchmark 93

Benchmark Banking Analytics Big data 93

Natalie Petouhof

MAY 25, 2016

It was created in 2012 after a brush with tragedy. Market-leading and early adopter organizations must account for how IoT initiatives deliver a customer- centric experience. . • Inability of traditional smoke detectors to connect to data centers about weather issues such as tornados, earthquakes, and floods.

Customer centricity 45

Customer centricity Technology Customer Experience Big data 45

SmartKarrot

FEBRUARY 3, 2022

Its main goal is to assist businesses in managing their financial routines and optimizing procedures such as accounting, stock, banking, and electronic invoicing, among other things. Founded in: 2012. EBANX features hosted pages, and developer APIs, among other features. Founded in: 2012. Founded: 2012.

SaaS 10

SaaS Real estate Construction Transportation 10