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

adds new APIs to customize GraphStorm pipelines: you now only need 12 lines of code to implement a custom node classification training loop. Based on customer feedback for the experimental APIs we released in GraphStorm 0.2, introduces refactored graph ML pipeline APIs. Specifically, GraphStorm 0.3 In addition, 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

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

AWS Machine Learning

MARCH 31, 2023

In this post, we demonstrate how to solve these challenges using Amazon Textract IDP CDK Constructs , a set of pre-built IDP constructs, to accelerate the development of real-world document processing pipelines. However, you can extend these constructs for any form type. Queries is a list of queries.

Construction

Construction APIs Accountability Banking

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. it will extract “strategy” (genre) and “2023” (year).

Construction

Construction APIs Metrics Accountability

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

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

AWS Machine Learning

APRIL 11, 2023

In the post Secure Amazon SageMaker Studio presigned URLs Part 2: Private API with JWT authentication , we demonstrated how to build a private API to generate Amazon SageMaker Studio presigned URLs that are only accessible by an authenticated end-user within the corporate network from a single account.

APIs

APIs Accountability Scripts Enterprise

Build an Amazon SageMaker Model Registry approval and promotion workflow with human intervention

AWS Machine Learning

JANUARY 10, 2024

The solution uses AWS Lambda , Amazon API Gateway , Amazon EventBridge , and SageMaker to automate the workflow with human approval intervention in the middle. The EventBridge model registration event rule invokes a Lambda function that constructs an email with a link to approve or reject the registered model.

APIs

APIs Construction Engineering Analytics

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. Examples given later in the post.)

APIs

APIs Best practices Construction 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

Automate the process to change image backgrounds using Amazon Bedrock and AWS Step Functions

AWS Machine Learning

MARCH 7, 2024

The Streamlit web application calls an Amazon API Gateway REST API endpoint integrated with the Amazon Rekognition DetectLabels API , which detects labels for each image. Constructs a request payload for the Amazon Bedrock InvokeModel API. Invokes the Amazon Bedrock InvokeModel API action.

APIs

APIs Entertainment Construction Advertising

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

Build a receipt and invoice processing pipeline with Amazon Textract

AWS Machine Learning

MARCH 26, 2024

The next stage is the extraction phase, where you pass the collected invoices and receipts to the Amazon Textract AnalyzeExpense API to extract financially related relationships between text such as vendor name, invoice receipt date, order date, amount due, amount paid, and so on. It is available both as a synchronous or asynchronous API.

APIs

APIs Construction Analytics Enterprise

Introducing SageMaker Core: A new object-oriented Python SDK for Amazon SageMaker

AWS Machine Learning

OCTOBER 15, 2024

In this post, we show how the SageMaker Core SDK simplifies the developer experience while providing API for seamlessly executing various steps in a general ML lifecycle. For instance, to create a training job, Boto3 offers a create_training_job API, but retrieving job details requires the describe_training_job API.

APIs

APIs Construction Engineering Scripts

Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

AWS Machine Learning

NOVEMBER 14, 2024

Customers can use the SageMaker Studio UI or APIs to specify the SageMaker Model Registry model to be shared and grant access to specific AWS accounts or to everyone in the organization. We will start by using the SageMaker Studio UI and then by using APIs.

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

The endpoints like SageMaker API, SageMaker Studio, and SageMaker notebook facilitate secure and reliable communication between the platform account’s VPC and the SageMaker domain managed by AWS in the SageMaker service account. Notably, each SageMaker domain is provisioned through its individual SageMakerStudioStack.

APIs

APIs Construction Transportation Analytics

Imperva optimizes SQL generation from natural language using Amazon Bedrock

AWS Machine Learning

JUNE 20, 2024

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. Figure 2: High level database access using an LLM flow The challenge An LLM can construct SQL queries based on natural language.

Construction

Construction APIs Metrics Engineering

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

AWS Machine Learning

OCTOBER 3, 2024

When experimentation is complete, the resulting seed code is pushed to an AWS CodeCommit repository, initiating the CI/CD pipeline for the construction of a SageMaker pipeline. The final decision, along with the generated data, is consolidated and transmitted back to the claims management system as a REST API response.

APIs

APIs Construction Engineering Accountability

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

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

Design secure generative AI application workflows with Amazon Verified Permissions and Amazon Bedrock Agents

AWS Machine Learning

OCTOBER 14, 2024

Agents automatically call the necessary APIs to interact with the company systems and processes to fulfill the request. The App calls the Claims API Gateway API to run the claims proxy passing user requests and tokens. Claims API Gateway runs the Custom Authorizer to validate the access token.

APIs

APIs Construction Government Big data

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

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

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

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

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

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

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

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

AWS Machine Learning

MAY 30, 2024

The frontend UI interacts with the extract microservice through a RESTful interface provided by Amazon API Gateway. The UI constructs evaluation prompts and sends them to Amazon Bedrock LLMs, retrieving evaluation results synchronously. Detect generic objects and labels using the Amazon Rekognition label detection API.

Advertising

Advertising APIs Education Analytics

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

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.

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

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

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

AWS Machine Learning

AUGUST 22, 2024

The information is used to determine which content can be used to construct chat responses for a given user, according the end-user’s document access permissions. On the API tokens page, choose Create API token. You can’t retrieve the API token after you close the dialog box. Choose Create. Figure 15: Adding OAuth 2.0

APIs

APIs Enterprise Accountability Management

Amazon Textract’s new Layout feature introduces efficiencies in general purpose and generative AI document processing tasks

AWS Machine Learning

NOVEMBER 21, 2023

Prior to the introduction of this feature, customers had to construct these elements using post-processing code and the words and lines response from Amazon Textract. The LAYOUT feature of AnalyzeDocument API can now detect up to ten different layout elements in a document’s page.

APIs

APIs Construction Metrics Education

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. The API request is similar to the Amazon Textract Queries API request, with the addition of the AdaptersConfig object.

APIs

APIs Best practices Banking Accountability

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). All the extracted data is returned with bounding box coordinates.

Construction

Construction APIs Government Enterprise

Revolutionizing knowledge management: VW’s AI prototype journey with AWS

AWS Machine Learning

NOVEMBER 21, 2024

Amazon API Gateway : Acts as the entry point for all RESTful API requests to the backend services, offering features such as throttling, monitoring, and API version management. Payload preparation: A payload is constructed with the base64 encoded image and a request to extract text.

Management

Management APIs Engineering Construction

Intelligent document processing with AWS AI services in the insurance industry: Part 1

AWS Machine Learning

NOVEMBER 3, 2022

With the Amazon Textract AnalyzeDocument API, we can speed up the extraction process with higher accuracy to extract text from documents in order to understand further insights within the claim form. For identity documents like an insurance ID, which can have different layouts, we can use the Amazon Textract AnalyzeDocument API.

APIs

APIs Construction Analytics Technology

BigChange Supports Business Growth at ECO Providers

CSM Magazine

NOVEMBER 21, 2024

Linked by API to the company’s customer platform, BigChange has replaced paper job packs with end-to-end digital workflows. ECO Providers was recently awarded Scale Up Business of the Year at the 2024 BIBA Awards and the Regional Construction People and Culture Award.

CRM

CRM Engineering Construction Finance

Safe image generation and diffusion models with Amazon AI content moderation services

AWS Machine Learning

JUNE 28, 2023

Solution overview Amazon Rekognition and Amazon Comprehend are managed AI services that provide pre-trained and customizable ML models via an API interface, eliminating the need for machine learning (ML) expertise. The RESTful API will return the generated image and the moderation warnings to the client if unsafe information is detected.

APIs

APIs Advertising Engineering Construction

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

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

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

Streamline RAG applications with intelligent metadata filtering using Amazon Bedrock

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

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

Build an Amazon SageMaker Model Registry approval and promotion workflow with human intervention

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

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

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

Automate the process to change image backgrounds using Amazon Bedrock and AWS Step Functions

Building Generative AI prompt chaining workflows with human in the loop

Build a receipt and invoice processing pipeline with Amazon Textract

Introducing SageMaker Core: A new object-oriented Python SDK for Amazon SageMaker

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

Imperva optimizes SQL generation from natural language using Amazon Bedrock

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

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

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

Design secure generative AI application workflows with Amazon Verified Permissions and Amazon Bedrock Agents

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

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

Automate Q&A email responses with Amazon Bedrock Knowledge Bases

Knowledge Bases for Amazon Bedrock now supports hybrid search

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

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

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

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

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

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

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

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

Amazon Textract’s new Layout feature introduces efficiencies in general purpose and generative AI document processing tasks

Customize Amazon Textract with business-specific documents using Custom Queries

Improve data extraction and document processing with Amazon Textract

Revolutionizing knowledge management: VW’s AI prototype journey with AWS

Intelligent document processing with AWS AI services in the insurance industry: Part 1

BigChange Supports Business Growth at ECO Providers

Safe image generation and diffusion models with Amazon AI content moderation services

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

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