Accountability, APIs and Construction - 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

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

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

Secure Amazon SageMaker Studio presigned URLs Part 3: Multi-account private API access to Studio

AWS Machine Learning

APRIL 11, 2023

One important aspect of this foundation is to organize their AWS environment following a multi-account strategy. In this post, we show how you can extend that architecture to multiple accounts to support multiple LOBs. In this post, we show how you can extend that architecture to multiple accounts to support multiple LOBs.

APIs

APIs Accountability Scripts Enterprise

Build end-to-end document processing pipelines with Amazon Textract IDP CDK Constructs

AWS Machine Learning

MARCH 31, 2023

Orchestration pipelines need to be created to introduce business logic, and also account for different processing techniques depending on the type of form inputted. Run the processing pipelines for each form type or page of form with the appropriate Amazon Textract API (Signature Detection, Table Extraction, Forms Extraction, or Queries).

Construction

Construction APIs Accountability Banking

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

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

Streamline RAG applications with intelligent metadata filtering using Amazon Bedrock

AWS Machine Learning

NOVEMBER 20, 2024

In some use cases, particularly those involving complex user queries or a large number of metadata attributes, manually constructing metadata filters can become challenging and potentially error-prone. The extracted metadata is used to construct an appropriate metadata filter. model in Amazon Bedrock.

Construction

Construction APIs Metrics Accountability

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

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

How Aviva built a scalable, secure, and reliable MLOps platform using Amazon SageMaker

AWS Machine Learning

OCTOBER 3, 2024

The proposed baseline architecture can be logically divided into four building blocks which that are sequentially deployed into the provided AWS accounts, as illustrated in the following diagram below. Developers can use the AWS Cloud Development Kit (AWS CDK) to customize the solution to align with the company’s specific account setup.

APIs

APIs Construction Engineering Accountability

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

Improve public speaking skills using a generative AI-based virtual assistant with Amazon Bedrock

AWS Machine Learning

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. Sonnet model, the system prompt, maximum tokens, and the transcribed speech text as inputs to the API.

APIs

APIs Construction Engineering Accountability

Achieve operational excellence with well-architected generative AI solutions using Amazon Bedrock

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

Government APIs Enterprise Best practices

Create a generative AI-based application builder assistant using Amazon Bedrock Agents

AWS Machine Learning

OCTOBER 24, 2024

These agentic workflows decompose the natural language query-based tasks into multiple actionable steps with iterative feedback loops and self-reflection to produce the final result using tools and APIs. Create and associate an action group with an API schema and a Lambda function. More details can be found in the notebook ).

APIs

APIs Best practices Construction Engineering

Building Generative AI prompt chaining workflows with human in the loop

AWS Machine Learning

MAY 17, 2024

With prompt chaining, you construct a set of smaller subtasks as individual prompts. Detect if the review content has any harmful information using the Amazon Comprehend DetectToxicContent API. Repeat the toxicity detection through the Comprehend API for the LLM generated response. If the toxicity of the review is less than 0.4

APIs

APIs Construction Engineering Enterprise

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

AWS Machine Learning

JULY 29, 2024

Generative AI provides the ability to take relevant information from a data source and provide well-constructed answers back to the user. You can authenticate Amazon Q Business to Jira using basic authentication with a 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

Automate Q&A email responses with Amazon Bedrock Knowledge Bases

AWS Machine Learning

NOVEMBER 20, 2024

The Lambda function starts data ingestion by calling the StartIngestionJob API function. By using the body of the email inquiry, the Lambda function creates a prompt query and invokes the Amazon Bedrock RetrieveAndGenerate API function to generate a response. This bucket is designated as the knowledge base data source.

APIs

APIs Construction Healthcare Accountability

Imperva optimizes SQL generation from natural language using Amazon Bedrock

AWS Machine Learning

JUNE 20, 2024

Giving more power to the user comes on account of simple user experience (UX). Constructing SQL queries from natural language isn’t a simple task. Figure 2: High level database access using an LLM flow The challenge An LLM can construct SQL queries based on natural language. The challenge is to assure quality.

Construction

Construction APIs Metrics Engineering

DXC transforms data exploration for their oil and gas customers with LLM-powered tools

AWS Machine Learning

NOVEMBER 18, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Mistral, 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 Surveys Chatbots Construction

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

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

Build a foundation model (FM) powered customer service bot with agents for Amazon Bedrock

AWS Machine Learning

NOVEMBER 17, 2023

The action is an API that the model can invoke from an allowed set of APIs. Action groups are mapped to an AWS Lambda function and related API schema to perform API calls. Customers converse with the bot in natural language with multiple steps invoking external APIs to accomplish subtasks.

APIs

APIs Customer Service Construction Analytics

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 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

Create a document lake using large-scale text extraction from documents with Amazon Textract

AWS Machine Learning

JANUARY 8, 2024

The second approach is a turnkey deployment of various infrastructure components using AWS Cloud Development Kit (AWS CDK) constructs. The AWS CDK construct provides a resilient and flexible framework to process your documents and build an end-to-end IDP pipeline. Now on to our second solution for documents at scale.

Scripts

Scripts Construction APIs Healthcare

Build a secure enterprise application with Generative AI and RAG using Amazon SageMaker JumpStart

AWS Machine Learning

SEPTEMBER 6, 2023

These SageMaker endpoints are consumed in the Amplify React application through Amazon API Gateway and AWS Lambda functions. To protect the application and APIs from inadvertent access, Amazon Cognito is integrated into Amplify React, API Gateway, and Lambda functions. You may need to request a quota increase.

Enterprise

Enterprise APIs Real estate Construction

GenAI for Aerospace: Empowering the workforce with expert knowledge on Amazon Q and Amazon Bedrock

AWS Machine Learning

SEPTEMBER 26, 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 single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

APIs

APIs Chatbots Engineering Accountability

Dynamic video content moderation and policy evaluation using AWS generative AI services

AWS Machine Learning

MAY 30, 2024

The solution is available on the GitHub repository and can be deployed to your AWS account using an AWS Cloud Development Kit (AWS CDK) package. The frontend UI interacts with the extract microservice through a RESTful interface provided by Amazon API Gateway. Detect text using the Amazon Rekognition text detection API.

Advertising

Advertising APIs Education Analytics

Vision use cases with Llama 3.2 11B and 90B models from Meta

AWS Machine Learning

SEPTEMBER 25, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies, like Meta, through a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI. Configure Llama 3.2 b64encode(image_bytes).decode('utf-8')

Real estate

Real estate Finance APIs Construction

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

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).

APIs

APIs Government Accountability Scripts

Improving inclusion and accessibility through automated document translation with an open source app using Amazon Translate

AWS Machine Learning

MAY 1, 2024

For interacting with AWS services, the AWS Amplify JS library for React simplifies the authentication, security, and API requests. The backend uses several serverless and event-driven AWS services, including AWS Step Functions for low-code workflows, AWS AppSync for a GraphQL API, and Amazon Translate. 1 – Translating a document.

APIs

APIs Construction Best practices Technology

Automate chatbot for document and data retrieval using Agents and Knowledge Bases for Amazon Bedrock

AWS Machine Learning

MAY 1, 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 single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Chatbots

Chatbots APIs Engineering Automotive

Elevate customer experience through an intelligent email automation solution using Amazon Bedrock

AWS Machine Learning

AUGUST 28, 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 is best suited for your use case. If the intent doesn’t have a match, the email goes to the support team for a manual response.

Customer Experience

Customer Experience APIs Accountability Construction

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. We do so using AWS SDK for Python (Boto3) CreateProcessingJob API calls.

Scripts

Scripts APIs Engineering Construction

Fine tune a generative AI application for Amazon Bedrock using Amazon SageMaker Pipeline decorators

AWS Machine Learning

AUGUST 22, 2024

Constructing robust data pipelines that can handle this workload reliably and efficiently at scale is a considerable challenge. Because Amazon Bedrock can be accessed as an API, developers who don’t know Amazon SageMaker can implement an Amazon Bedrock application or fine-tune Amazon Bedrock by writing a regular Python program.

APIs

APIs Accountability Engineering Construction

Improve data extraction and document processing with Amazon Textract

AWS Machine Learning

NOVEMBER 2, 2022

This solution uses Amazon Textract IDP CDK constructs to build the document processing workflow that handles Amazon Textract asynchronous invocation, raw response extraction, and persistence in Amazon Simple Storage Service (Amazon S3). This helps you avoid continuing costs in your account. Conclusion.

Construction

Construction APIs Government Enterprise

Introducing Amazon Textract Bulk Document Uploader for enhanced evaluation and analysis

AWS Machine Learning

MAY 15, 2023

Unlike the existing Amazon Textract console demos, which impose artificial limits on the number of documents, document size, and maximum allowed number of pages, the Bulk Document Uploader supports processing up to 150 documents per request and has the same document size and page limits as the Amazon Textract APIs.

APIs

APIs Construction Accountability Best practices

How to Handle Handset Input (DTMF) From a Phone Call in ASP.NET Core

Nexmo

OCTOBER 20, 2020

In this tutorial, we’re going to be using the Vonage Voice API to learn how to quickly snap the former (DTMF) into our ASP.NET core applications. Collecting DTMF from a user over a PSTN call will involve the following: Setting up a Vonage API Account if you don’t have one. A Vonage API account.

Interactive Voice Response

Interactive Voice Response APIs Construction Accountability

Best practices for building robust generative AI applications with Amazon Bedrock Agents – Part 2

AWS Machine Learning

OCTOBER 21, 2024

The agent can use company APIs and external knowledge through Retrieval Augmented Generation (RAG). The first step to achieve comprehensive logging is to enable Amazon Bedrock model invocation logging to capture prompts and responses securely in your account. We also recommend that you get started using our Agent Blueprints construct.

Best practices

Best practices APIs Entertainment Construction

Delight your customers with great conversational experiences via QnABot, a generative AI chatbot

AWS Machine Learning

AUGUST 15, 2024

Figure 1: QnABot Architecture Diagram The high-level process flow for the solution components deployed with the CloudFormation template is as follows: The admin deploys the solution into their AWS account, opens the Content Designer UI or Amazon Lex web client, and uses Amazon Cognito to authenticate.

Chatbots

Chatbots Banking APIs Enterprise

Onboard users to Amazon SageMaker Studio with Active Directory group-specific IAM roles

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

APIs Accountability Construction Enterprise

Deploy generative AI models from Amazon SageMaker JumpStart using the AWS CDK

AWS Machine Learning

MAY 23, 2023

Model data is stored on Amazon Simple Storage Service (Amazon S3) in the JumpStart account. The web application interacts with the models via Amazon API Gateway and AWS Lambda functions as shown in the following diagram. Prerequisites You must have the following prerequisites: An AWS account The AWS CLI v2 Python 3.6

APIs

APIs Accountability Construction Management

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

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

Trending Sources

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

Secure Amazon SageMaker Studio presigned URLs Part 3: Multi-account private API access to Studio

Build end-to-end document processing pipelines with Amazon Textract IDP CDK Constructs

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

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

Streamline RAG applications with intelligent metadata filtering using Amazon Bedrock

Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

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

How Aviva built a scalable, secure, and reliable MLOps platform using Amazon SageMaker

Build a receipt and invoice processing pipeline with Amazon Textract

Improve public speaking skills using a generative AI-based virtual assistant with Amazon Bedrock

Achieve operational excellence with well-architected generative AI solutions using Amazon Bedrock

Create a generative AI-based application builder assistant using Amazon Bedrock Agents

Building Generative AI prompt chaining workflows with human in the loop

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

Automate Q&A email responses with Amazon Bedrock Knowledge Bases

Imperva optimizes SQL generation from natural language using Amazon Bedrock

DXC transforms data exploration for their oil and gas customers with LLM-powered tools

Customize Amazon Textract with business-specific documents using Custom Queries

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

Build a foundation model (FM) powered customer service bot with agents for Amazon Bedrock

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

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

Create a document lake using large-scale text extraction from documents with Amazon Textract

Build a secure enterprise application with Generative AI and RAG using Amazon SageMaker JumpStart

GenAI for Aerospace: Empowering the workforce with expert knowledge on Amazon Q and Amazon Bedrock

Dynamic video content moderation and policy evaluation using AWS generative AI services

Vision use cases with Llama 3.2 11B and 90B models from Meta

Knowledge Bases for Amazon Bedrock now supports hybrid search

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

Improving inclusion and accessibility through automated document translation with an open source app using Amazon Translate

Automate chatbot for document and data retrieval using Agents and Knowledge Bases for Amazon Bedrock

Elevate customer experience through an intelligent email automation solution using Amazon Bedrock

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

Fine tune a generative AI application for Amazon Bedrock using Amazon SageMaker Pipeline decorators

Improve data extraction and document processing with Amazon Textract

Introducing Amazon Textract Bulk Document Uploader for enhanced evaluation and analysis

How to Handle Handset Input (DTMF) From a Phone Call in ASP.NET Core

Best practices for building robust generative AI applications with Amazon Bedrock Agents – Part 2

Delight your customers with great conversational experiences via QnABot, a generative AI chatbot

Onboard users to Amazon SageMaker Studio with Active Directory group-specific IAM roles

Deploy generative AI models from Amazon SageMaker JumpStart using the AWS CDK

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