Accountability, APIs and Industry - 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. Although the principles discussed are applicable across various industries, we use an automotive parts retailer as our primary example throughout this post.

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 industries like insurance, where unpredictable scenarios are the norm, traditional automation falls short, leading to inefficiencies and missed opportunities. With the power of intelligent agents, you can simplify these challenges.

APIs

APIs Enterprise Best practices Accountability

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

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

Automate emails for task management using Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, and Amazon Bedrock Guardrails

AWS Machine Learning

NOVEMBER 19, 2024

Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading AI startups and Amazon Web Services 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.

APIs

APIs Management Engineering Enterprise

Use Amazon SageMaker pipeline sharing to view or manage pipelines across AWS accounts

AWS Machine Learning

AUGUST 29, 2022

On August 9, 2022, we announced the general availability of cross-account sharing of Amazon SageMaker Pipelines entities. You can now use cross-account support for Amazon SageMaker Pipelines to share pipeline entities across AWS accounts and access shared pipelines directly through Amazon SageMaker API calls.

Accountability

Accountability APIs Management 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

Generate and evaluate images in Amazon Bedrock with Amazon Titan Image Generator G1 v2 and Anthropic Claude 3.5 Sonnet

AWS Machine Learning

NOVEMBER 18, 2024

Sonnet, also newly released, setting new industry benchmarks for graduate-level reasoning and improvements in grasping complex instructions. It exposes an API endpoint through Amazon API Gateway that proxies the initial prompt request to a Python-based AWS Lambda function, which calls Amazon Bedrock twice. Anthropic Claude 3.5

APIs

APIs Entertainment Benchmark Advertising

Deploy a serverless web application to edit images using Amazon Bedrock

AWS Machine Learning

OCTOBER 21, 2024

Generative AI adoption among various industries is revolutionizing different types of applications, including image editing. 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.

APIs

APIs Enterprise Accountability Management

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

AWS Machine Learning

NOVEMBER 18, 2024

DXC builds offerings across industry verticals to deliver accelerated value to their customers. The oil and gas industry relies on discovering new drilling sites to drive growth. Moreover, there are industry-specific data formats like Log ASCII standard (LAS). One of the sectors DXC has deep expertise in is energy.

APIs

APIs Surveys Chatbots Construction

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

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

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

AWS Machine Learning

JULY 17, 2023

With cloud computing, as compute power and data became more available, machine learning (ML) is now making an impact across every industry and is a core part of every business and industry. Organizations with a multi-account architecture typically have Amazon Redshift and SageMaker Studio in two separate AWS accounts.

Accountability

Accountability APIs Best practices Management

Automate cloud security vulnerability assessment and alerting using Amazon Bedrock

AWS Machine Learning

NOVEMBER 18, 2024

To address this challenge, this post demonstrates a proactive approach for security vulnerability assessment of your accounts and workloads, using Amazon GuardDuty , Amazon Bedrock , and other AWS serverless technologies. The Lambda function calls Anthropic’s Claude 3 Sonnet model through Amazon Bedrock APIs with the input request.

APIs

APIs Accountability Engineering Enterprise

Amazon Bedrock Custom Model Import now generally available

AWS Machine Learning

OCTOBER 21, 2024

This feature empowers customers to import and use their customized models alongside existing foundation models (FMs) through a single, unified API. Having a unified developer experience when accessing custom models or base models through Amazon Bedrock’s API. Ease of deployment through a fully managed, serverless, service. 2, 3, 3.1,

APIs

APIs Scripts Finance Real estate

Improve LLM application robustness with Amazon Bedrock Guardrails and Amazon Bedrock Agents

AWS Machine Learning

OCTOBER 11, 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 Lambda function. Provide a clear and concise agent instruction.

APIs

APIs Chatbots Accountability Feedback

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

Build generative AI applications on Amazon Bedrock with the AWS SDK for Python (Boto3)

AWS Machine Learning

NOVEMBER 22, 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.

Scripts

Scripts APIs Chatbots 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

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

Intelligent document processing with AWS AI and Analytics services in the insurance industry: Part 2

AWS Machine Learning

NOVEMBER 3, 2022

In Part 1 of this series, we discussed intelligent document processing (IDP), and how IDP can accelerate claims processing use cases in the insurance industry. Intelligent document processing with AWS AI and Analytics services in the insurance industry. Extract default entities with the Amazon Comprehend DetectEntities API.

Analytics

Analytics APIs Healthcare Big data

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

AWS Machine Learning

OCTOBER 3, 2024

To prove the platform can handle onboarding and industrialization of ML models, Aviva picked their Remedy use case as their first project. 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.

APIs

APIs Construction Engineering Accountability

Preserve access and explore alternatives for Amazon Lookout for Equipment

AWS Machine Learning

SEPTEMBER 17, 2024

Amazon Lookout for Equipment , the AWS machine learning (ML) service designed for industrial equipment predictive maintenance, will no longer be open to new customers effective October 17, 2024. Most of his career has been focused on industrial applications specifically in reliability practices, maintenance systems, and manufacturing.

APIs

APIs Engineering Consulting Consulting

Automate invoice processing with Streamlit and Amazon Bedrock

AWS Machine Learning

NOVEMBER 14, 2024

Prerequisites To perform this solution, complete the following: Create and activate an AWS account. You can upload them directly using the console, API, or as part of your regular business process. You can chat with your document either on the Amazon Bedrock console or by using the Amazon Bedrock RetrieveAndGenerate API (SDK).

APIs

APIs Scripts Enterprise SaaS

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.

APIs

APIs Customer Support Management Enterprise

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

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

Getting started with cross-region inference in Amazon Bedrock

AWS Machine Learning

AUGUST 27, 2024

With the advent of generative AI solutions , a paradigm shift is underway across industries, driven by organizations embracing foundation models to unlock unprecedented opportunities. You can use this feature in the Amazon Bedrock model invocation APIs ( InvokeModel and Converse API). Become more resilient to any traffic bursts.

APIs

APIs Engineering Best practices Management

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

Build generative AI–powered Salesforce applications with Amazon Bedrock

AWS Machine Learning

JULY 29, 2024

In this post, we show how native integrations between Salesforce and Amazon Web Services (AWS) enable you to Bring Your Own Large Language Models (BYO LLMs) from your AWS account to power generative artificial intelligence (AI) applications in Salesforce. For this post, we use the Anthropic Claude 3 Sonnet model.

APIs

APIs Accountability CRM Engineering

Create a Generative AI Gateway to allow secure and compliant consumption of foundation models

AWS Machine Learning

SEPTEMBER 28, 2023

Regulated and compliance-oriented industries, such as financial services, healthcare and life sciences, and government institutes, face unique challenges in ensuring the secure and responsible consumption of these models. In addition, API Registries enabled centralized governance, control, and discoverability of APIs.

APIs

APIs Government Enterprise Engineering

Enhance call center efficiency using batch inference for transcript summarization with Amazon Bedrock

AWS Machine Learning

AUGUST 21, 2024

This new feature enables organizations to process large volumes of data when interacting with foundation models (FMs), addressing a critical need in various industries, including call center operations. Batch job submission – Initiate and manage batch inference jobs through the Amazon Bedrock console or API.

Call Center

Call Center APIs Engineering Accountability

Orchestrate generative AI workflows with Amazon Bedrock and AWS Step Functions

AWS Machine Learning

NOVEMBER 22, 2024

Companies across all industries are harnessing the power of generative AI to address various use cases. Cloud providers have recognized the need to offer model inference through an API call, significantly streamlining the implementation of AI within applications. Here, we map the description through with no change and use $$.Map.Item.Value

APIs

APIs Technology Management Enterprise

2022H2 Amazon Textract launch summary

AWS Machine Learning

DECEMBER 29, 2022

Documents are a primary tool for record keeping, communication, collaboration, and transactions across many industries, including financial, medical, legal, and real estate. The Signatures feature is available as part of the AnalyzeDocument API. Learn more about how to use this feature in our documentation for the AnalyzeDocument API.

APIs

APIs Banking Real estate Healthcare

How Cepsa used Amazon SageMaker and AWS Step Functions to industrialize their ML projects and operate their models at scale

AWS Machine Learning

JUNE 24, 2022

Machine learning (ML) has rapidly evolved from being a fashionable trend emerging from academic environments and innovation departments to becoming a key means to deliver value across businesses in every industry. This way, we simplified managing environments across multiple AWS accounts, while introducing centralized model traceability.

APIs

APIs Engineering Accountability Metrics

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

Harnessing the power of enterprise data with generative AI: Insights from Amazon Kendra, LangChain, and large language models

AWS Machine Learning

NOVEMBER 7, 2023

Foundation Models Pharma Ad Generator – A specialized application tailored for the pharmaceutical industry. Harnessing the generative capabilities of foundational models, this tool creates convincing and compliant pharmaceutical advertisements, ensuring content adheres to industry standards and regulations. Python 3.6 x or later.

Enterprise

Enterprise APIs Engineering Accountability

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. To request access, contact your AWS account team or submit a support ticket using the AWS Management Console. Anthropic Claude 3 Haiku enabled in Amazon Bedrock.

APIs

APIs Airlines Metrics Engineering

Bigcommerce Pricing: Which Plan Is Best?

OctopusTech

NOVEMBER 3, 2024

Currently, BigCommerc e several several industries, including fashion, health products, electronics, jewelry, and more. You can also use the API integration when you want to connect multiple eCommerce channels and monitor everything in one place. You can also add an unlimited number of goods and accounts for your personnel.

APIs

APIs Enterprise SaaS Accountability

Import a question answering fine-tuned model into Amazon Bedrock as a custom model

AWS Machine Learning

SEPTEMBER 30, 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 Real estate Accountability Metrics

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

AWS Machine Learning

MAY 30, 2024

An efficient way to analyze videos will help them evaluate content against industry policies, index videos for efficient search, and perform dynamic detection and redaction tasks, such as blurring student faces in a Zoom recording. Detect generic objects and labels using the Amazon Rekognition label detection API.

Advertising

Advertising APIs Education Analytics

Using responsible AI principles with Amazon Bedrock Batch Inference

AWS Machine Learning

NOVEMBER 21, 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 Call Center Engineering Personalization

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

Learn how Amazon Ads created a generative AI-powered image generation capability using Amazon SageMaker

AWS Machine Learning

MAY 15, 2024

Under the hood, this tool uses artifacts generated by SageMaker (step vii) which is then deployed into the production AWS account (step viii), using SageMaker SDKs. Regarding the inference, customers using Amazon Ads now have a new API to receive these generated images. The Amazon API Gateway receives the PUT request (step 1).

Advertising

Advertising APIs Engineering Benchmark

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

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

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

Automate emails for task management using Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, and Amazon Bedrock Guardrails

Use Amazon SageMaker pipeline sharing to view or manage pipelines across AWS accounts

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

Generate and evaluate images in Amazon Bedrock with Amazon Titan Image Generator G1 v2 and Anthropic Claude 3.5 Sonnet

Deploy a serverless web application to edit images using Amazon Bedrock

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

Improve employee productivity using generative AI with Amazon Bedrock

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

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

Automate cloud security vulnerability assessment and alerting using Amazon Bedrock

Amazon Bedrock Custom Model Import now generally available

Improve LLM application robustness with Amazon Bedrock Guardrails and Amazon Bedrock Agents

Use AWS PrivateLink to set up private access to Amazon Bedrock

Build generative AI applications on Amazon Bedrock with the AWS SDK for Python (Boto3)

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

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

Intelligent document processing with AWS AI and Analytics services in the insurance industry: Part 2

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

Preserve access and explore alternatives for Amazon Lookout for Equipment

Automate invoice processing with Streamlit and Amazon Bedrock

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

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

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

Getting started with cross-region inference in Amazon Bedrock

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

Build generative AI–powered Salesforce applications with Amazon Bedrock

Create a Generative AI Gateway to allow secure and compliant consumption of foundation models

Enhance call center efficiency using batch inference for transcript summarization with Amazon Bedrock

Orchestrate generative AI workflows with Amazon Bedrock and AWS Step Functions

2022H2 Amazon Textract launch summary

How Cepsa used Amazon SageMaker and AWS Step Functions to industrialize their ML projects and operate their models at scale

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

Harnessing the power of enterprise data with generative AI: Insights from Amazon Kendra, LangChain, and large language models

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

Bigcommerce Pricing: Which Plan Is Best?

Import a question answering fine-tuned model into Amazon Bedrock as a custom model

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

Using responsible AI principles with Amazon Bedrock Batch Inference

Automate Q&A email responses with Amazon Bedrock Knowledge Bases

Learn how Amazon Ads created a generative AI-powered image generation capability using Amazon SageMaker

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