AWS Machine Learning - AI

AUGUST 26, 2024

At AWS, we are transforming our seller and customer journeys by using generative artificial intelligence (AI) across the sales lifecycle. It will be able to answer questions, generate content, and facilitate bidirectional interactions, all while continuously using internal AWS and external data to deliver timely, personalized insights.

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AWS Machine Learning - AI

OCTOBER 31, 2024

AWS offers powerful generative AI services , including Amazon Bedrock , which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. The following figure illustrates the high-level design of the solution.

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AWS Machine Learning - AI

OCTOBER 15, 2024

In the following sections, we walk you through constructing a scalable, serverless, end-to-end Public Speaking Mentor AI Assistant with Amazon Bedrock, Amazon Transcribe , and AWS Step Functions using provided sample code. Overview of solution The solution consists of four main components: An Amazon Cognito user pool for user authentication.

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AWS Machine Learning - AI

OCTOBER 17, 2024

During re:Invent 2023, we launched AWS HealthScribe , a HIPAA eligible service that empowers healthcare software vendors to build their clinical applications to use speech recognition and generative AI to automatically create preliminary clinician documentation. AWS HealthScribe will then output two files which are also stored on Amazon S3.

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AWS Machine Learning - AI

FEBRUARY 6, 2024

By extracting key data from testing reports, the system uses Amazon SageMaker JumpStart and other AWS AI services to generate CTDs in the proper format. This solution relies on the AWS Well-Architected principles and guidelines to enable the control, security, and auditability requirements. AI delivers a major leap forward.

Generative AI 118

Generative AI AWS Lambda Technical Review 118

AWS Machine Learning - AI

NOVEMBER 18, 2024

The newly announced Amazon Titan Image Generator G1 v2 expands its initial version by allowing you to guide image creation using reference images, edit existing visuals, remove backgrounds, generate image variations, and securely customize the model to maintain brand style and subject consistency. Anthropic Claude 3.5 Anthropic Claude 3.5

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AWS Machine Learning - AI

MARCH 7, 2024

However, Amazon Bedrock and AWS Step Functions make it straightforward to automate this process at scale. Step Functions allows you to create an automated workflow that seamlessly connects with Amazon Bedrock and other AWS services. The DynamoDB update triggers an AWS Lambda function, which starts a Step Functions workflow.

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AWS Machine Learning - AI

MAY 30, 2024

In this post, we introduce the Media Analysis and Policy Evaluation solution, which uses AWS AI and generative AI services to provide a framework to streamline video extraction and evaluation processes. This solution, powered by AWS AI and generative AI services, meets these needs.

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AWS Machine Learning - AI

NOVEMBER 11, 2024

with Client Credentials Flow to authenticate Amazon Q to access your Microsoft Teams instance. Amazon Q requires your Microsoft Teams client ID and client secret to be stored in AWS Secrets Manager. The user is authenticated by AWS IAM Identity Center. For instructions, refer to How do I get Microsoft Teams?

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AWS Machine Learning - AI

JUNE 12, 2024

After the user logs in, they’re redirected to the Amazon Cognito login page for authentication. 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.

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AWS Machine Learning - AI

AUGUST 22, 2024

In an earlier post, we discussed how you can build private and secure enterprise generative AI applications with Amazon Q Business and AWS IAM Identity Center. When responding to requests by an authenticated user, the Amazon Q Business application uses the IAM identity provider configuration to validate the user identity.

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Generative AI Applications Enterprise AWS 115

AWS Machine Learning - AI

SEPTEMBER 17, 2024

In this post, we demonstrate a solution using Amazon FSx for NetApp ONTAP with Amazon Bedrock to provide a RAG experience for your generative AI applications on AWS by bringing company-specific, unstructured user file data to Amazon Bedrock in a straightforward, fast, and secure way. Install the AWS Command Line Interface (AWS CLI).

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AWS Machine Learning - AI

JANUARY 24, 2024

We demonstrate how to build an end-to-end RAG application using Cohere’s language models through Amazon Bedrock and a Weaviate vector database on AWS Marketplace. Additionally, you can securely integrate and easily deploy your generative AI applications using the AWS tools you are already familiar with.

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AWS Machine Learning - AI

NOVEMBER 1, 2024

This post covers the steps to configure the Amazon Q Business Google Drive connector, including authentication setup and verifying the secure indexing of your Google Drive content. Amazon Q Business can authenticate with your Google Workspace using a service account or OAuth 2.0 authentication. Using OAuth 2.0 Using OAuth 2.0

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AWS Machine Learning - AI

NOVEMBER 6, 2024

This solution can serve as a valuable reference for other organizations looking to scale their cloud governance and enable their CCoE teams to drive greater impact. The challenge: Enabling self-service cloud governance at scale Hearst undertook a comprehensive governance transformation for their Amazon Web Services (AWS) infrastructure.

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AWS Machine Learning - AI

OCTOBER 21, 2024

However, by using various AWS services, you can quickly deploy a serverless solution to edit images. Amazon Bedrock is serverless, so you can get started quickly, privately customize FMs with your own data, and integrate and deploy them into your applications using AWS tools without having to manage infrastructure.

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AWS Machine Learning - AI

AUGUST 26, 2024

AWS makes it possible for organizations of all sizes and developers of all skill levels to build and scale generative AI applications with security, privacy, and responsible AI. In this post, we dive into the architecture and implementation details of GenASL, which uses AWS generative AI capabilities to create human-like ASL avatar videos.

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AWS Machine Learning - AI

OCTOBER 1, 2024

At Amazon and AWS, we are always finding innovative ways to build inclusive technology. To deploy this architecture, we need managed compute that can host the web application, authentication mechanisms, and relevant permissions. All the services that we use are serverless and fully managed by AWS.

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Datavail

JULY 21, 2020

AWS supports PostgreSQL versions 9.4 Security and Compliance is a shared responsibility between AWS and the customer: AWS is responsible for security “OF” the cloud. Security and Compliance is a shared responsibility between AWS and the customer: AWS is responsible for security “OF” the cloud. through 11 on Aurora.

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AWS Machine Learning - AI

JULY 29, 2024

Refer to Jira data source connector field mappings for more information. Authentication Before you index the content from Jira, you need to establish a secure connection between the Amazon Q Business connector for Jira with your Jira cloud instance. To establish a secure connection, you need to authenticate with the data source.

Project Management 116

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AWS Machine Learning - AI

OCTOBER 9, 2024

Additionally, you will learn how to configure the Amazon Q Business application and enable user authentication through AWS IAM Identity Center , which is a recommended service for managing a workforce’s access to AWS applications. The Slack connector supports token-based authentication.

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AWS Machine Learning - AI

AUGUST 22, 2024

As a part of this configuration, one of the steps is to configure the authentication of the connector so that it can authenticate with Confluence (Cloud) and then index the relevant content. Authentication types An Amazon Q Business application requires you to use AWS IAM Identity Center to manage user access.

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AWS Machine Learning - AI

AUGUST 14, 2024

We use an example of an illustrative ServiceNow platform to discuss technical topics related to AWS services. Refer to ServiceNow data source connector field mappings documentation for more information. Refer to How Amazon Q Business connector crawls ServiceNow ACLs for more information.

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AWS Machine Learning - AI

OCTOBER 2, 2024

User attributes, such as work location, department, and job title, are made available to Amazon Q Business by the system used to authenticate user identities that is configured with the Amazon Q Business application. or OIDC compliant IdP with AWS Identity and Access Management (IAM) to access your Amazon Q Business application.

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AWS Machine Learning - AI

FEBRUARY 9, 2024

Because Amazon Bedrock is serverless, you don’t have to manage any infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with. There can be different user authentication and authorization mechanisms deployed in an organization.

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Kaseya

MAY 13, 2021

In this blog, we’ll compare the three leading public cloud providers, namely Amazon Web Services (AWS), Microsoft Azure and Google Cloud. Amazon Web Services (AWS) Overview. A subsidiary of Amazon, AWS was launched in 2006 and offers on-demand cloud computing services on a metered, pay-as-you-go basis. Greater Security.

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AWS Machine Learning - AI

SEPTEMBER 3, 2024

Reduced operational overhead – The EMR Serverless integration with AWS streamlines big data processing by managing the underlying infrastructure, freeing up your team’s time and resources. Authentication mechanism When integrating EMR Serverless in SageMaker Studio, you can use runtime roles.

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AWS Machine Learning - AI

SEPTEMBER 12, 2024

Architecture The solution uses Amazon API Gateway , AWS Lambda , Amazon RDS, Amazon Bedrock, and Anthropic Claude 3 Sonnet on Amazon Bedrock to implement the backend of the application. User authentication and authorization is done using Amazon Cognito. User authentication and authorization is done using Amazon Cognito.

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Generative AI Healthcare Artificial Inteligence Insurance 121

Datavail

JANUARY 2, 2024

Amazon Web Services (AWS) is an acclaimed cloud provider that provides various services and solutions that can help simplify the migration processes for businesses moving their Oracle E-Business Suite to the cloud. This guide will cover best practices, tools, and techniques for a seamless and effortless migration to AWS.

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Perficient

MAY 11, 2023

When packets arrive, BGP routers refer to their routing tables to determine which AS the packet should go to next. AWS Site-to-Site VPN? You can enable access to your remote network from your VPC by creating an AWS Site-to-Site VPN connection and configuring routing to pass traffic through the connection.

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Netflix Tech

MARCH 10, 2021

ConsoleMe: A Central Control Plane for AWS Permissions and Access By Curtis Castrapel , Patrick Sanders , and Hee Won Kim At AWS re:Invent 2020, we open sourced two new tools for managing multi-account AWS permissions and access. If you missed the talk, check it out here. This happened for us at Netflix. What is ConsoleMe?

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AWS Policies Resources Software Review 102

Xebia

APRIL 23, 2024

Slack API reaching out to AWS Lambda. Creating your Handler using an AWS Lambda Function In this example I am going to use a Node.js AWS Lambda function to host the handler. To create the AWS Lambda function, navigate to AWS Lambda in the AWS Console. In the Block Kit Builder you can design your components.

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AWS Machine Learning - AI

NOVEMBER 20, 2024

In this post, we explore how you can use Amazon Q Business , the AWS generative AI-powered assistant, to build a centralized knowledge base for your organization, unifying structured and unstructured datasets from different sources to accelerate decision-making and drive productivity. In this post, we use IAM Identity Center as the SAML 2.0-aligned

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AWS Machine Learning - AI

NOVEMBER 6, 2024

Prerequisites Before you dive into the integration process, make sure you have the following prerequisites in place: AWS account – You’ll need an AWS account to access and use Amazon Bedrock. You can interact with Amazon Bedrock using AWS SDKs available in Python, Java, Node.js, and more.

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Software Review Artificial Inteligence Generative AI AWS 106

Prisma Clud

MAY 9, 2023

But the team doesn’t want to log into yet another console to get more information about their AWS environment. If your organization is using AWS CloudTrail Lake for auditing, you can use Prisma Cloud to enrich AWS CloudTrail data by creating a custom integration and using native functionality within Prisma Cloud to send events to AWS.

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AWS Machine Learning - AI

SEPTEMBER 19, 2024

Prerequisites The following are the prerequisites necessary to implement Amazon Bedrock Knowledge Bases with SharePoint as a connector: An AWS account with an AWS Identity and Access Management (IAM) role and user with least privilege permissions to create and manage the necessary resources and components for the application.

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AWS Machine Learning - AI

AUGUST 28, 2024

Overview of solution To create an Amazon Q Business application to connect to your GitHub repositories using AWS IAM Identity Center and AWS Secrets Manager , follow these high-level steps: Create an Amazon Q Business application Perform sync Run sample queries to test the solution The following screenshot shows the solution architecture.

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