2012, APIs and Best practices - Customer Contact Central

Use AWS PrivateLink to set up private access to Amazon Bedrock

AWS Machine Learning

OCTOBER 30, 2023

It allows developers to build and scale generative AI applications using FMs through an API, without managing infrastructure. You can choose from various FMs from Amazon and leading AI startups such as AI21 Labs, Anthropic, Cohere, and Stability AI to find the model that’s best suited for your use case.

APIs

APIs Big data Accountability Enterprise

Secure Amazon SageMaker Studio presigned URLs Part 2: Private API with JWT authentication

AWS Machine Learning

JUNE 30, 2022

In this post, we will continue to build on top of the previous solution to demonstrate how to build a private API Gateway via Amazon API Gateway as a proxy interface to generate and access Amazon SageMaker presigned URLs. The user invokes createStudioPresignedUrl API on API Gateway along with a token in the header.

APIs

APIs Enterprise Big data Accountability

Build a multilingual automatic translation pipeline with Amazon Translate Active Custom Translation

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

APIs Benchmark Best practices Engineering

Build a cross-account MLOps workflow using the Amazon SageMaker model registry

AWS Machine Learning

NOVEMBER 16, 2022

For an example account structure to follow organizational unit best practices to host models using SageMaker endpoints across accounts, refer to MLOps Workload Orchestrator. Some things to note in the preceding architecture: Accounts follow a principle of least privilege to follow security best practices. Prerequisites.

Accountability

Accountability Best practices Scripts Engineering

The IoT Chronicles Part 2: Three Big Security Threats—and How to Solve Them

Avaya

NOVEMBER 16, 2016

Open APIs: An open API model is advantageous in that it allows developers outside of companies to easily access and use APIs to create breakthrough innovations. At the same time, however, publicly available APIs are also exposed ones. billion GB of data were being produced every day in 2012 alone!)

APIs

APIs Transportation Enterprise Healthcare

Securing MLflow in AWS: Fine-grained access control with AWS native services

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). Adds an IAM authorizer.

APIs

APIs Government Accountability Scripts

Bring legacy machine learning code into Amazon SageMaker using AWS Step Functions

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.

Scripts

Scripts APIs Engineering Construction

Configure cross-account access of Amazon Redshift clusters in Amazon SageMaker Studio using VPC peering

AWS Machine Learning

JULY 17, 2023

Also, Amazon Redshift and SageMaker Studio are typically configured in VPCs with private subnets to improve security and reduce the risk of unauthorized access as a best practice. Organizations with a multi-account architecture typically have Amazon Redshift and SageMaker Studio in two separate AWS accounts.

Accountability

Accountability APIs Best practices Management

Integrate QnABot on AWS with ServiceNow

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

Chatbots APIs Self service Banking

Define customized permissions in minutes with Amazon SageMaker Role Manager

AWS Machine Learning

DECEMBER 1, 2022

The statement labeled RemoveErrorMessagesFromConsole can be removed without affecting the ability to get into Studio, but will result in API errors on the console UI. Note that the following policy locks down Studio domain creation to VPC only. For additional information on CloudWatch Logs policies, refer to Customer managed policy examples.

Management

Management Government Enterprise APIs

AI-powered code suggestions and security scans in Amazon SageMaker notebooks using Amazon CodeWhisperer and Amazon CodeGuru

AWS Machine Learning

MAY 12, 2023

These AI-powered extensions help accelerate ML development by offering code suggestions as you type, and ensure that your code is secure and follows AWS best practices. Today, we are excited to announce the availability of Amazon CodeWhisperer and Amazon CodeGuru Security extensions in SageMaker notebooks.

Best practices

Best practices APIs Banking Engineering

Boost productivity on Amazon SageMaker Studio: Introducing JupyterLab Spaces and generative AI tools

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. This can be done using either the SageMaker Studio UI or an API action, as shown in the following example.

APIs

APIs Engineering Management Scripts

Use Amazon SageMaker Model Card sharing to improve model governance

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. They provide a fact sheet of the model that is important for model governance. For more information, refer to Configure the AWS CLI.

Government

Government Accountability Enterprise Engineering

Use Amazon SageMaker Model Cards sharing to improve model governance

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. They provide a fact sheet of the model that is important for model governance. For more information, refer to Configure the AWS CLI.

Government

Government Accountability Enterprise Engineering

Selection, Implementation and Use: The Journey of Contact Center Technology with Joe Rice

Vistio

SEPTEMBER 20, 2021

And in 2012, I decided to make the jump to the indirect or referral partner channels, where a lot of these big Gartner ranked vendors across contact center and unified communications and networking have these really robust programs that enable partners, or referral brokers, or agents to basically add value around the purchasing process.

Contact Center

Contact Center Technology Finance Average Handle Time

Best practices and design patterns for building machine learning workflows with Amazon SageMaker Pipelines

AWS Machine Learning

SEPTEMBER 7, 2023

In this post, we provide some best practices to maximize the value of SageMaker Pipelines and make the development experience seamless. Best practices for SageMaker Pipelines In this section, we discuss some best practices that can be followed while designing workflows using SageMaker Pipelines.

Best practices

Best practices Scripts Construction APIs

Customer Contact Central

Use AWS PrivateLink to set up private access to Amazon Bedrock

Secure Amazon SageMaker Studio presigned URLs Part 2: Private API with JWT authentication

Trending Sources

Build a multilingual automatic translation pipeline with Amazon Translate Active Custom Translation

Build a cross-account MLOps workflow using the Amazon SageMaker model registry

The IoT Chronicles Part 2: Three Big Security Threats—and How to Solve Them

Securing MLflow in AWS: Fine-grained access control with AWS native services

Bring legacy machine learning code into Amazon SageMaker using AWS Step Functions

Configure cross-account access of Amazon Redshift clusters in Amazon SageMaker Studio using VPC peering

Integrate QnABot on AWS with ServiceNow

Define customized permissions in minutes with Amazon SageMaker Role Manager

AI-powered code suggestions and security scans in Amazon SageMaker notebooks using Amazon CodeWhisperer and Amazon CodeGuru

Boost productivity on Amazon SageMaker Studio: Introducing JupyterLab Spaces and generative AI tools

Use Amazon SageMaker Model Card sharing to improve model governance

Use Amazon SageMaker Model Cards sharing to improve model governance

Selection, Implementation and Use: The Journey of Contact Center Technology with Joe Rice

Best practices and design patterns for building machine learning workflows with Amazon SageMaker Pipelines

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