Accountability, APIs and Management - 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. Using natural language processing (NLP) and OpenAPI specs, Amazon Bedrock Agents dynamically manages API sequences, minimizing dependency management complexities.

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

Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage features for machine learning (ML) models. SageMaker Feature Store now makes it effortless to share, discover, and access feature groups across AWS accounts. Features are inputs to ML models used during training and inference.

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

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 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

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.

Government

Government Management APIs Accountability

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

AWS Machine Learning

JULY 29, 2024

Effective customer support and project management are critical aspects of providing effective customer relationship management. You also need to hire and staff a large team to build, maintain, and manage such a system. You can authenticate Amazon Q Business to Jira using basic authentication with a Jira ID and Jira API token.

Customer Support

Customer Support APIs Management Enterprise

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. Implementing a cost allocation strategy early is critical for managing your expenses and future optimization activities that will reduce your spend.

Government

Government Best practices Accountability APIs

Streamline generative AI development in Amazon Bedrock with Prompt Management and Prompt Flows (preview)

AWS Machine Learning

JULY 10, 2024

Today, we’re excited to introduce two powerful new features for Amazon Bedrock: Prompt Management and Prompt Flows, in public preview. You can use the Prompt Management and Flows features graphically on the Amazon Bedrock console or Amazon Bedrock Studio, or programmatically through the Amazon Bedrock SDK APIs.

Management

Management APIs Chatbots Best practices

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

AWS Machine Learning

JULY 2, 2024

Organizations also require the implementation of common security practices such as identity and access management, to make sure that only authorized and authenticated users are allowed to perform specific actions or access specific resources. The request is sent by the web application to the API.

APIs

APIs Scripts Enterprise Engineering

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

AWS Machine Learning

NOVEMBER 1, 2024

As enterprises increasingly embrace generative AI , they face challenges in managing the associated costs. This limitation has added complexity to cost management for generative AI initiatives. anthropic.claude-3-sonnet-20240229-v1:0", "inferenceProfileId": "us-1.anthropic.claude-3-sonnet-20240229-v1:0",

APIs

APIs Management Accountability Metrics

Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

JANUARY 5, 2024

Many organizations have been using a combination of on-premises and open source data science solutions to create and manage machine learning (ML) models. Data science and DevOps teams may face challenges managing these isolated tool stacks and systems. Wipro is an AWS Premier Tier Services Partner and Managed Service Provider (MSP).

Management

Management APIs Engineering Government

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. It contains services used to onboard, manage, and operate the environment, for example, to onboard and off-board tenants, users, and models, assign quotas to different tenants, and authentication and authorization microservices.

Enterprise

Enterprise APIs Government Accountability

Use AWS PrivateLink to set up private access to Amazon Bedrock

AWS Machine Learning

OCTOBER 30, 2023

Amazon Bedrock is a fully managed service provided by AWS that offers developers access to foundation models (FMs) and the tools to customize them for specific applications. It allows developers to build and scale generative AI applications using FMs through an API, without managing infrastructure.

APIs

APIs Big data Accountability Enterprise

Getting started with cross-region inference in Amazon Bedrock

AWS Machine Learning

AUGUST 27, 2024

This offers developers using on-demand inference mode, a seamless solution for managing optimal availability, performance, and resiliency while managing incoming traffic spikes of applications powered by Amazon Bedrock. You can use this feature in the Amazon Bedrock model invocation APIs ( InvokeModel and Converse API).

APIs

APIs Engineering Best practices Management

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

AWS Machine Learning

JULY 30, 2024

Amazon Q Business is a fully managed, permission aware generative artificial intelligence (AI)-powered assistant built with enterprise grade security and privacy features. IAM Identity Center is used by many AWS managed applications such as Amazon Q. Why use trusted identity propagation?

APIs

APIs Enterprise Accountability Management

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

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

AWS Machine Learning

FEBRUARY 29, 2024

AI’s growing influence in large organizations brings crucial challenges in managing AI platforms. These include a fully managed AI development environment with an integrated development environment (IDE), simplifying the end-to-end ML workflow. For high availability, multiple identical private isolated subnets are provisioned.

APIs

APIs Construction Transportation Analytics

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

AWS Machine Learning

AUGUST 22, 2024

If you want to use Amazon Q Business to build enterprise generative AI applications, and have yet to adopt organization-wide use of AWS IAM Identity Center , you can use Amazon Q Business IAM Federation to directly manage user access to Amazon Q Business applications from your enterprise identity provider (IdP), such as Okta or Ping Identity.

Enterprise

Enterprise APIs Accountability Management

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. and take-exam.

Education

Education APIs Engineering Banking

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

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

AWS Machine Learning

FEBRUARY 8, 2024

Moreover, they can orchestrate complex, multi-step workflows by breaking down tasks into smaller, manageable steps, coordinating various actions, and ensuring the efficient execution of processes within an organization. System integration – Agents make API calls to integrated company systems to run specific actions.

APIs

APIs Scripts Enterprise Management

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

AWS Machine Learning

MAY 30, 2024

Services range from financing and investment to property management. CBRE is unlocking the potential of artificial intelligence (AI) to realize value across the entire commercial real estate lifecycle—from guiding investment decisions to managing buildings.

Real estate

Real estate APIs Metrics Construction

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

AWS Machine Learning

NOVEMBER 13, 2024

Recognizing this need, we have developed a Chrome extension that harnesses the power of AWS AI and generative AI services, including Amazon Bedrock , an AWS managed service to build and scale generative AI applications with foundation models (FMs). To launch the solution in a different Region, change the aws_region parameter accordingly.

APIs

APIs Scripts Accountability Entertainment

Customize Amazon Textract with business-specific documents using Custom Queries

AWS Machine Learning

NOVEMBER 6, 2023

Custom Queries is easy to integrate in your existing Textract pipeline and you continue to benefit from the fully managed intelligent document processing features of Amazon Textract without having to invest in ML expertise or infrastructure management. Adapters can be created via the console or programmatically via the API.

APIs

APIs Best practices Banking Accountability

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

AWS Machine Learning

MAY 30, 2024

Educational tech companies manage large inventories of training videos. 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.

Advertising

Advertising APIs Education Analytics

The Essential Guide to WFM – Key Features to Look For

CCNG

MAY 30, 2024

Workforce management (WFM) can feel like a whirlwind of constant change. Forecasting Core Features The Ability to Consume Historical Data Whether it’s from a copy/paste of a spreadsheet or an API connection, your WFM platform must have the ability to consume historical data. And that’s if you even know where to start!

Abandon rate

Abandon rate CCNG Average Handle Time Contact Center

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

AWS Machine Learning

JULY 10, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) along with a broad set of capabilities to build generative artificial intelligence (AI) applications, simplifying development with security, privacy, and responsible AI. Anthropic Claude 3 Haiku enabled in Amazon Bedrock.

APIs

APIs Airlines Metrics Engineering

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

AWS Machine Learning

JULY 17, 2024

This post will also demonstrate how you can integrate these insights with your IT service management (ITSM) system (such as ServiceNow, Jira, and Zendesk), to allow you to implement recommendations and keep your AWS operations healthy. QSI enables insights on your AWS Support datasets across your AWS accounts.

Scripts

Scripts APIs Enterprise Accountability

Deploy a Microsoft Teams gateway for Amazon Q, your business expert

AWS Machine Learning

JANUARY 25, 2024

In this post, we walk you through the process to deploy Amazon Q business expert in your AWS account and add it to Microsoft Teams. When you’re done, you’ll wonder how you ever managed without it! In the following sections, we show how to deploy the project to your own AWS account and Teams account, and start experimenting!

Accountability

Accountability APIs Management Engineering

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

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

Implementing Knowledge Bases for Amazon Bedrock in support of GDPR (right to be forgotten) requests

AWS Machine Learning

MAY 31, 2024

Amazon Bedrock is a fully managed service that makes foundational models (FMs) from leading artificial intelligence (AI) companies 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. Model providers can’t access customer data in the deployment account.

Best practices

Best practices APIs Accountability Personalization

Knowledge Bases for Amazon Bedrock now supports hybrid search

AWS Machine Learning

MARCH 1, 2024

With a knowledge base, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for fully managed Retrieval Augmented Generation (RAG). You have the option to override it to use either hybrid or semantic search in the API. The scores help determine which chunks best match the response of the query.

APIs

APIs Finance Chatbots Enterprise

Build enterprise-ready generative AI solutions with Cohere foundation models in Amazon Bedrock and Weaviate vector database on AWS Marketplace

AWS Machine Learning

JANUARY 24, 2024

Building proofs of concept is relatively straightforward because cutting-edge foundation models are available from specialized providers through a simple API call. Cohere language models in Amazon Bedrock The Cohere Platform brings language models with state-of-the-art performance to enterprises and developers through a simple API call.

Enterprise

Enterprise APIs Advertising Technology

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

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

AWS Machine Learning

SEPTEMBER 28, 2023

A Generative AI Gateway can help large enterprises control, standardize, and govern FM consumption from services such as Amazon Bedrock , Amazon SageMaker JumpStart , third-party model providers (such as Anthropic and their APIs), and other model providers outside of the AWS ecosystem. What is a Generative AI Gateway?

APIs

APIs Government Enterprise Engineering

Intelligently search Adobe Experience Manager content using Amazon Kendra

AWS Machine Learning

SEPTEMBER 6, 2023

Adobe Experience Manager (AEM) is a content management system that’s used for creating website or mobile app content. Many organizations use Adobe Experience Manager (On-Premise) or Adobe Experience Manager (Cloud Service) as their content management platform. Under Adobe Experience Manager , choose Add connector.

Management

Management Enterprise Analytics Finance

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. A copy of your model artifacts is stored in an AWS operated deployment account.

APIs

APIs Scripts Real estate Accountability

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

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

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

Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

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

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

Streamline generative AI development in Amazon Bedrock with Prompt Management and Prompt Flows (preview)

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

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

Modernizing data science lifecycle management with AWS and Wipro

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

Use AWS PrivateLink to set up private access to Amazon Bedrock

Getting started with cross-region inference in Amazon Bedrock

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

How healthcare payers and plans can empower members with generative AI

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

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

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

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

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

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

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

Customize Amazon Textract with business-specific documents using Custom Queries

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

The Essential Guide to WFM – Key Features to Look For

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

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

Deploy a Microsoft Teams gateway for Amazon Q, your business expert

Deploy a serverless web application to edit images using Amazon Bedrock

Build a receipt and invoice processing pipeline with Amazon Textract

Implementing Knowledge Bases for Amazon Bedrock in support of GDPR (right to be forgotten) requests

Knowledge Bases for Amazon Bedrock now supports hybrid search

Build enterprise-ready generative AI solutions with Cohere foundation models in Amazon Bedrock and Weaviate vector database on AWS Marketplace

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

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

Intelligently search Adobe Experience Manager content using Amazon Kendra

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

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