Accountability and APIs - Customer Contact Central

Enhance customer support with Amazon Bedrock Agents by integrating enterprise data APIs

AWS Machine Learning

NOVEMBER 7, 2024

In this post, we guide you through integrating Amazon Bedrock Agents with enterprise data APIs to create more personalized and effective customer support experiences. An automotive retailer might use inventory management APIs to track stock levels and catalog APIs for vehicle compatibility and specifications.

APIs

APIs Enterprise Automotive Customer Support

Streamline workflow orchestration of a system of enterprise APIs using chaining with Amazon Bedrock Agents

AWS Machine Learning

SEPTEMBER 13, 2024

Intricate workflows that require dynamic and complex API orchestration can often be complex to manage. In this post, we explore how chaining domain-specific agents using Amazon Bedrock Agents can transform a system of complex API interactions into streamlined, adaptive workflows, empowering your business to operate with agility and precision.

APIs

APIs Enterprise Best practices Accountability

Use the ApplyGuardrail API with long-context inputs and streaming outputs in Amazon Bedrock

AWS Machine Learning

JULY 31, 2024

The new ApplyGuardrail API enables you to assess any text using your preconfigured guardrails in Amazon Bedrock, without invoking the FMs. In this post, we demonstrate how to use the ApplyGuardrail API with long-context inputs and streaming outputs. For example, you can now use the API with models hosted on Amazon SageMaker.

APIs

APIs Banking Best practices Engineering

GraphStorm 0.3: Scalable, multi-task learning on graphs with user-friendly APIs

AWS Machine Learning

AUGUST 2, 2024

With GraphStorm, you can build solutions that directly take into account the structure of relationships or interactions between billions of entities, which are inherently embedded in most real-world data, including fraud detection scenarios, recommendations, community detection, and search/retrieval problems. Specifically, GraphStorm 0.3

APIs

APIs Benchmark Construction Enterprise

Amazon SageMaker Feature Store now supports cross-account sharing, discovery, and access

AWS Machine Learning

FEBRUARY 13, 2024

SageMaker Feature Store now makes it effortless to share, discover, and access feature groups across AWS accounts. With this launch, account owners can grant access to select feature groups by other accounts using AWS Resource Access Manager (AWS RAM).

Accountability

Accountability Government Engineering Scripts

Integrate dynamic web content in your generative AI application using a web search API and Amazon Bedrock Agents

AWS Machine Learning

SEPTEMBER 20, 2024

Amazon Bedrock agents use LLMs to break down tasks, interact dynamically with users, run actions through API calls, and augment knowledge using Amazon Bedrock Knowledge Bases. In this post, we demonstrate how to use Amazon Bedrock Agents with a web search API to integrate dynamic web content in your generative AI application.

APIs

APIs Chatbots Construction Engineering

Governing ML lifecycle at scale: Best practices to set up cost and usage visibility of ML workloads in multi-account environments

AWS Machine Learning

NOVEMBER 14, 2024

For a multi-account environment, you can track costs at an AWS account level to associate expenses. A combination of an AWS account and tags provides the best results. For multiple accounts, assign mandatory tags to each one, identifying its purpose and the owner responsible.

Government

Government Best practices Accountability APIs

Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning

OCTOBER 31, 2024

The custom Google Chat app, configured for HTTP integration, sends an HTTP request to an API Gateway endpoint. Before processing the request, a Lambda authorizer function associated with the API Gateway authenticates the incoming message. The following figure illustrates the high-level design of the solution.

APIs

APIs Scripts Accountability Construction

Build an internal SaaS service with cost and usage tracking for foundation models on Amazon Bedrock

AWS Machine Learning

FEBRUARY 9, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models 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 to build generative AI applications with security, privacy, and responsible AI.

SaaS

SaaS APIs Government Accountability

Create an end-to-end serverless digital assistant for semantic search with Amazon Bedrock

AWS Machine Learning

JULY 2, 2024

Amazon Bedrock is a fully managed service that makes a wide range of foundation models (FMs) available though an API without having to manage any infrastructure. Amazon API Gateway and AWS Lambda to create an API with an authentication layer and integrate with Amazon Bedrock. An API created with Amazon API Gateway.

APIs

APIs Scripts Enterprise Engineering

Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning

NOVEMBER 7, 2024

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. API Gateway is serverless and hence automatically scales with traffic. API Gateway also provides a WebSocket API. Incoming requests to the gateway go through this point.

Enterprise

Enterprise APIs Government Accountability

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. Customers are building innovative generative AI applications using Amazon Bedrock APIs using their own proprietary data.

APIs

APIs Big data Accountability Enterprise

How healthcare payers and plans can empower members with generative AI

AWS Machine Learning

SEPTEMBER 12, 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 through a unified API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Healthcare

Healthcare APIs Accountability Enterprise

Configure Amazon Q Business with AWS IAM Identity Center trusted identity propagation

AWS Machine Learning

JULY 30, 2024

For example, it enables user subscription management across Amazon Q offerings and consolidates Amazon Q billing from across multiple AWS accounts. Additionally, Q Business conversation APIs employ a layer of privacy protection by leveraging trusted identity propagation enabled by IAM Identity Center. Finally, you have an OAuth 2.0

APIs

APIs Enterprise Accountability Management

Supercharge your AI team with Amazon SageMaker Studio: A comprehensive view of Deutsche Bahn’s AI platform transformation

AWS Machine Learning

FEBRUARY 29, 2024

Solution overview The architecture at Deutsche Bahn consists of a central platform account managed by a platform team responsible for managing infrastructure and operations for SageMaker Studio. The AI team does not have AWS Management Console access to the AI platform team’s account.

APIs

APIs Construction Transportation Analytics

Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

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.

Government

Government Management APIs Accountability

Provide live agent assistance for your chatbot users with Amazon Lex and Talkdesk cloud contact center

AWS Machine Learning

MARCH 29, 2024

The Amazon Lex fulfillment AWS Lambda function retrieves the Talkdesk touchpoint ID and Talkdesk OAuth secrets from AWS Secrets Manager and initiates a request to Talkdesk Digital Connect using the Start a Conversation API. If the request to the Talkdesk API is successful, a Talkdesk conversation ID is returned to Amazon Lex.

Cloud contact

Cloud contact Contact Center Chatbots APIs

Build a serverless exam generator application from your own lecture content using Amazon Bedrock

AWS Machine Learning

MAY 15, 2024

The Amazon Bedrock API returns the output Q&A JSON file to the Lambda function. The container image sends the REST API request to Amazon API Gateway (using the GET method). API Gateway communicates with the TakeExamFn Lambda function as a proxy. The JSON file is returned to API Gateway.

Education

Education APIs Engineering Banking

Improve the productivity of your customer support and project management teams using Amazon Q Business and Atlassian Jira

AWS Machine Learning

JULY 29, 2024

You can authenticate Amazon Q Business to Jira using basic authentication with a Jira ID and Jira API token. To authenticate using basic authentication, you create a secret using AWS Secrets Manager with your Jira ID and Jira API token. See Manage API tokens for your Atlassian account for instructions to create an API token.

Customer Support

Customer Support APIs Management Enterprise

Build a receipt and invoice processing pipeline with Amazon Textract

AWS Machine Learning

MARCH 26, 2024

One area that holds significant potential for improvement is accounts payable. On a high level, the accounts payable process includes receiving and scanning invoices, extraction of the relevant data from scanned invoices, validation, approval, and archival. It is available both as a synchronous or asynchronous API.

APIs

APIs Construction Analytics Enterprise

Customize Amazon Textract with business-specific documents using Custom Queries

AWS Machine Learning

NOVEMBER 6, 2023

You can use the adapter for inference by passing the adapter identifier as an additional parameter to the Analyze Document Queries API request. Adapters can be created via the console or programmatically via the API. What is the account#? What is the account name/payer/drawer name? MICR line format). Who is the payee?

APIs

APIs Best practices Banking Accountability

Transcribe, translate, and summarize live streams in your browser with AWS AI and generative AI services

AWS Machine Learning

NOVEMBER 13, 2024

The solution also uses Amazon Cognito user pools and identity pools for managing authentication and authorization of users, Amazon API Gateway REST APIs, AWS Lambda functions, and an Amazon Simple Storage Service (Amazon S3) bucket. To launch the solution in a different Region, change the aws_region parameter accordingly.

APIs

APIs Scripts Accountability Entertainment

Let’s talk about Chat GPT in the Contact Center

CCNG

JUNE 7, 2023

Handling Basic Inquiries : Chat GPT can assist with basic inquiries such as order status, account information, shipping details, or product specifications. This ensures that customers receive timely assistance, improving their overall experience. By automating these routine tasks, agents can focus on more specialized or complex issues.

Contact Center

Contact Center CCNG APIs Scripts

Getting started with cross-region inference in Amazon Bedrock

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

APIs Engineering Best practices Management

Knowledge Bases for Amazon Bedrock now supports hybrid search

AWS Machine Learning

MARCH 1, 2024

Use hybrid search and semantic search options via SDK When you call the Retrieve API, Knowledge Bases for Amazon Bedrock selects the right search strategy for you to give you most relevant results. You have the option to override it to use either hybrid or semantic search in the API.

APIs

APIs Finance Chatbots Enterprise

Deploy a serverless web application to edit images using Amazon Bedrock

AWS Machine Learning

OCTOBER 21, 2024

Amazon Bedrock is a fully managed service that makes FMs from leading AI startups and Amazon available through an API, so you can choose from a wide range of FMs to find the model that’s best suited for your use case. This approach can give your teams access to image editing foundation models (FMs) using Amazon Bedrock. file: window._config

APIs

APIs Enterprise Accountability Management

Derive meaningful and actionable operational insights from AWS Using Amazon Q Business

AWS Machine Learning

JULY 17, 2024

In this post, we’re using the APIs for AWS Support , AWS Trusted Advisor , and AWS Health to programmatically access the support datasets and use the Amazon Q Business native Amazon Simple Storage Service (Amazon S3) connector to index support data and provide a prebuilt chatbot web experience. Synchronize the data source to index the data.

Scripts

Scripts APIs Enterprise Accountability

Build private and secure enterprise generative AI applications with Amazon Q Business using IAM Federation

AWS Machine Learning

AUGUST 22, 2024

AWS recommends using AWS Identity Center if you have a large number of users in order to achieve a seamless user access management experience for multiple Amazon Q Business applications across many AWS accounts in AWS Organizations. This SAML or OIDC IAM identity provider is required for you to create an Amazon Q Business application.

Enterprise

Enterprise APIs Accountability Management

Index your Atlassian Confluence Cloud contents using the Amazon Q Confluence Cloud connector for Amazon Q Business

AWS Machine Learning

AUGUST 22, 2024

After you configure your identity source, you can look up users or groups to grant them single sign-on access to AWS accounts, applications, or both. This is where you create your users and groups, and assign their level of access to your AWS accounts and applications. For Confluence Cloud, the _user_id is the account ID of the user.

APIs

APIs Enterprise Accountability Management

Build your multilingual personal calendar assistant with Amazon Bedrock and AWS Step Functions

AWS Machine Learning

JULY 3, 2024

Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading AI startups and Amazon available through an API, so you can choose from a wide range of FMs to find the model that’s best suited for your use case. The deployment will output the API Gateway endpoint URL and an API key.

Personalization

Personalization APIs Management Accountability

Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock

AWS Machine Learning

APRIL 23, 2024

Here are some features which we will cover: AWS CloudFormation support Private network policies for Amazon OpenSearch Serverless Multiple S3 buckets as data sources Service Quotas support Hybrid search, metadata filters, custom prompts for the RetreiveAndGenerate API, and maximum number of retrievals.

APIs

APIs Enterprise Scripts Accountability

Develop generative AI applications to improve teaching and learning experiences

AWS Machine Learning

NOVEMBER 2, 2023

Amazon Bedrock is a fully managed service that makes foundation models from leading AI startups and Amazon available via easy-to-use API interfaces. The solution also uses the grammatical error correction API and the paraphrase API from AI21 to recommend word and sentence corrections.

APIs

APIs Education Transportation Accountability

CBRE and AWS perform natural language queries of structured data using Amazon Bedrock

AWS Machine Learning

MAY 30, 2024

AWS Prototyping successfully delivered a scalable prototype, which solved CBRE’s business problem with a high accuracy rate (over 95%) and supported reuse of embeddings for similar NLQs, and an API gateway for integration into CBRE’s dashboards. The following diagram illustrates the web interface and API management layer.

Real estate

Real estate APIs Metrics Construction

A guide to Amazon Bedrock Model Distillation (preview)

AWS Machine Learning

DECEMBER 4, 2024

In a production environment, you continue to use the existing Amazon Bedrock Inference APIs, such as the InvokeModel or Converse API, and turn on invocation logs that store model input data (prompts) and model output data (responses). The student model is then fine-tuned using the prompt-response pairs generated by the teacher model.

APIs

APIs Metrics Healthcare Chatbots

Automate the insurance claim lifecycle using Agents and Knowledge Bases for Amazon Bedrock

AWS Machine Learning

FEBRUARY 8, 2024

At the forefront of this evolution sits Amazon Bedrock , a fully managed service that makes high-performing foundation models (FMs) from Amazon and other leading AI companies available through an API. System integration – Agents make API calls to integrated company systems to run specific actions.

APIs

APIs Scripts Enterprise Management

Import a fine-tuned Meta Llama 3 model for SQL query generation on Amazon Bedrock

AWS Machine Learning

AUGUST 1, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API. Amazon Bedrock service starts an import job in an AWS operated deployment account.

APIs

APIs Scripts Real estate Accountability

Connect Amazon Q Business to Microsoft SharePoint Online using least privilege access controls

AWS Machine Learning

JULY 29, 2024

Prerequisites The following are the prerequisites necessary to deploy the solution: An AWS account with an AWS Identity and Access Management (IAM) role and user with permissions to create and manage the necessary resources and components for the application. Choose API permissions under Manage in the navigation pane. Choose Register.

APIs

APIs Accountability Best practices Engineering

Considerations for addressing the core dimensions of responsible AI for Amazon Bedrock applications

AWS Machine Learning

NOVEMBER 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, Mistral AI, Stability 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.

APIs

APIs Government Best practices Metrics

Improve employee productivity using generative AI with Amazon Bedrock

AWS Machine Learning

SEPTEMBER 25, 2024

Built on AWS technologies like AWS Lambda , Amazon API Gateway , and Amazon DynamoDB , this tool automates the creation of customizable templates and supports both text and image inputs. This sends the API request to Amazon Bedrock, which is hosting the Anthropic’s Claude 3 Sonnet language model.

APIs

APIs Wireless Accountability Technology

Use Amazon Q to find answers on Google Drive in an enterprise

AWS Machine Learning

NOVEMBER 1, 2024

Index Google Drive documents using the Amazon Q Google Drive connector The Amazon Q Google Drive connector can index Google Drive documents hosted in a Google Workspace account. The connector can’t index documents stored on Google Drive in a personal Google Gmail account. All customer data is indexed only in the customer account.

Enterprise

Enterprise APIs Accountability Management

Deploy a Slack gateway for Amazon Bedrock

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.

APIs

APIs Engineering Accountability Scripts

Fine-tune Anthropic’s Claude 3 Haiku in Amazon Bedrock to boost model accuracy and quality

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

APIs Airlines Metrics Engineering

Govern generative AI in the enterprise with Amazon SageMaker Canvas

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 prevents the creation of endpoints using these models.

Government

Government Enterprise APIs Accountability

Track, allocate, and manage your generative AI cost and usage with Amazon Bedrock

AWS Machine Learning

NOVEMBER 1, 2024

Users can manage and use application inference profiles using Bedrock APIs or the boto3 SDK: CreateInferenceProfile : Initiates a new inference profile, allowing users to configure the parameters for the profile. ConverseStream API : Similar to the Converse API but supports streaming responses for real-time interactions.

APIs

APIs Management Accountability Metrics

Enhance customer support with Amazon Bedrock Agents by integrating enterprise data APIs

Streamline workflow orchestration of a system of enterprise APIs using chaining with Amazon Bedrock Agents

Trending Sources

Use the ApplyGuardrail API with long-context inputs and streaming outputs in Amazon Bedrock

GraphStorm 0.3: Scalable, multi-task learning on graphs with user-friendly APIs

Amazon SageMaker Feature Store now supports cross-account sharing, discovery, and access

Integrate dynamic web content in your generative AI application using a web search API and Amazon Bedrock Agents

Governing ML lifecycle at scale: Best practices to set up cost and usage visibility of ML workloads in multi-account environments

Create a generative AI–powered custom Google Chat application using Amazon Bedrock

Build an internal SaaS service with cost and usage tracking for foundation models on Amazon Bedrock

Create an end-to-end serverless digital assistant for semantic search with Amazon Bedrock

Build a multi-tenant generative AI environment for your enterprise on AWS

Use AWS PrivateLink to set up private access to Amazon Bedrock

How healthcare payers and plans can empower members with generative AI

Configure Amazon Q Business with AWS IAM Identity Center trusted identity propagation

Supercharge your AI team with Amazon SageMaker Studio: A comprehensive view of Deutsche Bahn’s AI platform transformation

Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

Provide live agent assistance for your chatbot users with Amazon Lex and Talkdesk cloud contact center

Build a serverless exam generator application from your own lecture content using Amazon Bedrock

Improve the productivity of your customer support and project management teams using Amazon Q Business and Atlassian Jira

Build a receipt and invoice processing pipeline with Amazon Textract

Customize Amazon Textract with business-specific documents using Custom Queries

Transcribe, translate, and summarize live streams in your browser with AWS AI and generative AI services

Let’s talk about Chat GPT in the Contact Center

Getting started with cross-region inference in Amazon Bedrock

Knowledge Bases for Amazon Bedrock now supports hybrid search

Deploy a serverless web application to edit images using Amazon Bedrock

Derive meaningful and actionable operational insights from AWS Using Amazon Q Business

Build private and secure enterprise generative AI applications with Amazon Q Business using IAM Federation

Index your Atlassian Confluence Cloud contents using the Amazon Q Confluence Cloud connector for Amazon Q Business

Build your multilingual personal calendar assistant with Amazon Bedrock and AWS Step Functions

Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock

Develop generative AI applications to improve teaching and learning experiences

CBRE and AWS perform natural language queries of structured data using Amazon Bedrock

A guide to Amazon Bedrock Model Distillation (preview)

Automate the insurance claim lifecycle using Agents and Knowledge Bases for Amazon Bedrock

Import a fine-tuned Meta Llama 3 model for SQL query generation on Amazon Bedrock

Connect Amazon Q Business to Microsoft SharePoint Online using least privilege access controls

Considerations for addressing the core dimensions of responsible AI for Amazon Bedrock applications

Improve employee productivity using generative AI with Amazon Bedrock

Use Amazon Q to find answers on Google Drive in an enterprise

Deploy a Slack gateway for Amazon Bedrock

Fine-tune Anthropic’s Claude 3 Haiku in Amazon Bedrock to boost model accuracy and quality

Govern generative AI in the enterprise with Amazon SageMaker Canvas

Track, allocate, and manage your generative AI cost and usage with Amazon Bedrock

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