AWS Machine Learning

NOVEMBER 15, 2024

For now, we consider eight key dimensions of responsible AI: Fairness, explainability, privacy and security, safety, controllability, veracity and robustness, governance, and transparency. When using the RetrieveAndGenerate API, the output includes the generated response, the source attribution, and the retrieved text chunks.

APIs 112

APIs Government Best practices Metrics 112

AWS Machine Learning

NOVEMBER 19, 2024

As companies of all sizes continue to build generative AI applications, the need for robust governance and control mechanisms becomes crucial. Prerequisites Before you start, make sure you have the following prerequisites in place: Create an AWS account , or sign in to your existing account.

APIs 118

APIs Government Banking Engineering 118

AWS Machine Learning

MAY 30, 2025

In reality, its a much more complex system involving workflows that invoke FMs, tools, and APIs and that use domain-specific data to ground responses with patterns such as Retrieval Augmented Generation (RAG) and workflows involving agents. This approach facilitates centralized governance and operations.

Government 82

Government APIs Best practices Enterprise 82

AWS Machine Learning

SEPTEMBER 23, 2024

This is crucial for compliance, security, and governance. In this post, we analyze strategies for governing access to Amazon Bedrock and SageMaker JumpStart models from within SageMaker Canvas using AWS Identity and Access Management (IAM) policies. We provide code examples tailored to common enterprise governance scenarios.

Government 121

Government Enterprise APIs Accountability 121

AWS Machine Learning

DECEMBER 4, 2024

Prerequisites Before creating your application in Amazon Bedrock IDE, you’ll need to set up a few resources in your AWS account. This includes setting up Amazon API Gateway , AWS Lambda functions, and Amazon Athena to enable querying the structured sales data. Navigate to the AWS Secrets Manager console and find the secret -api-keys.

APIs 107

APIs Sales Surveys Analytics 107

AWS Machine Learning

DECEMBER 18, 2024

Use natural language in your Amazon Q web experience chat to perform read and write actions in ServiceNow such as querying and creating incidents and KB articles in a secure and governed fashion. AWS Have an AWS account with administrative access. For more information, see Setting up for Amazon Q Business. Choose Next.

APIs 91

APIs Enterprise Accountability Government 91

AWS Machine Learning

JANUARY 29, 2025

Large organizations often have many business units with multiple lines of business (LOBs), with a central governing entity, and typically use AWS Organizations with an Amazon Web Services (AWS) multi-account strategy. LOBs have autonomy over their AI workflows, models, and data within their respective AWS accounts.

Enterprise 93

Enterprise Government Finance Accountability 93

AWS Machine Learning

MARCH 18, 2025

Beyond Amazon Bedrock models, the service offers the flexible ApplyGuardrails API that enables you to assess text using your pre-configured guardrails without invoking FMs, allowing you to implement safety controls across generative AI applicationswhether running on Amazon Bedrock or on other systemsat both input and output levels.

Government 96

Government APIs Enterprise Technology 96

AWS Machine Learning

AUGUST 31, 2023

The framework that gives systematic visibility into ML model development, validation, and usage is called ML governance. During AWS re:Invent 2022, AWS introduced new ML governance tools for Amazon SageMaker which simplifies access control and enhances transparency over your ML projects.

Government 125

Government Accountability Enterprise Best practices 125

AWS Machine Learning

APRIL 11, 2023

These customers need to balance governance, security, and compliance against the need for machine learning (ML) teams to quickly access their data science environments in a secure manner. One important aspect of this foundation is to organize their AWS environment following a multi-account strategy.

APIs 94

APIs Accountability Scripts Enterprise 94

AWS Machine Learning

NOVEMBER 18, 2024

Amazon Bedrock is a fully managed service to build generative AI applications with foundation models (FMs) from leading AI companies such as Anthropic, Mistral AI, Meta, Stability AI, Cohere, AI21 Labs, and Amazon through a single API. A second Lambda function invokes the Amazon Bedrock API. AWS Management Console access. A Python 3.12

APIs 110

APIs Government Engineering Accountability 110

AWS Machine Learning

MARCH 26, 2025

These new features streamline the ML workflow by combining the convenience of pre-built solutions with the flexibility of custom development, while maintaining enterprise-grade security and governance. For enterprise customers, the ability to curate and fine-tune both pre-built and custom models is crucial for successful AI implementation.

APIs 103

APIs Enterprise Government Accountability 103

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 130

APIs Banking Best practices Engineering 130

AWS Machine Learning

JANUARY 28, 2025

Using SageMaker with MLflow to track experiments The fully managed MLflow capability on SageMaker is built around three core components: MLflow tracking server This component can be quickly set up through the Amazon SageMaker Studio interface or using the API for more granular configurations.

Management 111

Management APIs Engineering Metrics 111

AWS Machine Learning

DECEMBER 11, 2024

Weve seen our sales teams use this capability to do things like consolidate meeting notes from multiple team members, analyze business reports, and develop account strategies. Earlier this year, we published the first in a series of posts about how AWS is transforming our seller and customer journeys using generative AI.

Sales 106

Sales Accountability APIs CRM 106

AWS Machine Learning

MAY 30, 2025

Data integration and processing for a large variety of outputs The Amazon team built robust connectors for internal and external sources with LLM-friendly APIs using Amazon Bedrock and other AWS services to seamlessly integrate into Amazon.com backend systems.

Advertising 110

Advertising Engineering APIs Government 110

AWS Machine Learning

OCTOBER 29, 2024

This post is part of an ongoing series on governing the machine learning (ML) lifecycle at scale. To start from the beginning, refer to Governing the ML lifecycle at scale, Part 1: A framework for architecting ML workloads using Amazon SageMaker.

Government 107

Government Metrics Accountability APIs 107

AWS Machine Learning

JANUARY 9, 2025

Amazon Q Business supports both organization- and account-level IAM Identity Center instances. Create a custom plugin that invokes an OpenAPI schema of the Amazon API Gateway This API sends emails to the users. After authentication, the user session is stored in the Amazon Q Business application for subsequent API calls.

APIs 109

APIs Best practices Accountability Enterprise 109

AWS Machine Learning

JUNE 4, 2025

Solution overview: Try Claude Code with Amazon Bedrock prompt caching Prerequisites An AWS account with access to Amazon Bedrock. To learn more about AI gateway solutions, contact your AWS account team. To learn more, see Claude Code team setup documentation or contact your AWS account team.

APIs 124

APIs Best practices Government Engineering 124

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 130

Accountability Government Engineering Scripts 130

AWS Machine Learning

APRIL 23, 2025

For more information, see Redacting PII entities with asynchronous jobs (API). The query is then forwarded using a REST API call to an Amazon API Gateway endpoint along with the access tokens in the header. The user query is sent using an API call along with the authentication token through Amazon API Gateway.

APIs 92

APIs Healthcare Enterprise Accountability 92

AWS Machine Learning

AUGUST 9, 2024

This post provides an overview of a custom solution developed by the AWS Generative AI Innovation Center (GenAIIC) for Deltek , a globally recognized standard for project-based businesses in both government contracting and professional services. Deltek serves over 30,000 clients with industry-specific software and information solutions.

Government 131

Government Healthcare Construction Engineering 131

AWS Machine Learning

FEBRUARY 9, 2024

IT teams are responsible for helping the LOB innovate with speed and agility while providing centralized governance and observability. A software as a service (SaaS) layer for foundation models can provide a simple and consistent interface for end-users, while maintaining centralized governance of access and consumption.

SaaS 144

SaaS APIs Government Accountability 144

AWS Machine Learning

DECEMBER 1, 2022

Overview of model governance. Model governance is a framework that gives systematic visibility into model development, validation, and usage. Model governance is applicable across the end-to-end ML workflow, starting from identifying the ML use case to ongoing monitoring of a deployed model through alerts, reports, and dashboards.

Government 100

Government Metrics APIs Engineering 100

AWS Machine Learning

MARCH 20, 2025

By using Amazon Bedrock functions and Amazon Bedrock Knowledge Bases , the agent can connect with data sources like JIRA APIs for real-time project status tracking, retrieve customer information, update project tasks, and manage preferences. The chat agent bridges complex information systems and user-friendly communication.

APIs 115

APIs CRM Construction Accountability 115

AWS Machine Learning

FEBRUARY 21, 2025

Solution overview Our solution implements a verified semantic cache using the Amazon Bedrock Knowledge Bases Retrieve API to reduce hallucinations in LLM responses while simultaneously improving latency and reducing costs. The function checks the semantic cache (Amazon Bedrock Knowledge Bases) using the Retrieve API.

Engineering 124

Engineering APIs Analytics Enterprise 124

AWS Machine Learning

NOVEMBER 1, 2024

Customers use Druva Data Resiliency Cloud to simplify data protection, streamline data governance, and gain data visibility and insights. Dru on the backend decodes log data, deciphers error codes, and invokes API calls to troubleshoot. This approach allowed us to break the problem down into multiple steps: Identify the API route.

APIs 110

APIs Scripts Engineering Government 110

AWS Machine Learning

JUNE 17, 2025

This includes difficulties training LLMs to convert natural language queries to SQL queries based on complex database schemas, as well as making sure appropriate data governance and security controls are in place. Prerequisites To implement the solution provided in this post, you must have an AWS account.

APIs 100

APIs Engineering Government Management 100

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 107

APIs Management Engineering Enterprise 107

AWS Machine Learning

OCTOBER 23, 2024

Agent Creator is a versatile extension to the SnapLogic platform that is compatible with modern databases, APIs, and even legacy mainframe systems, fostering seamless integration across various data environments. Its low-code interface drastically reduces the time needed to develop generative AI applications.

Enterprise 87

Enterprise APIs Engineering Government 87

AWS Machine Learning

FEBRUARY 21, 2025

The solution uses the FMs tool use capabilities, accessed through the Amazon Bedrock Converse API. This enables the FMs to not just process text, but to actively engage with various external tools and APIs to perform complex document analysis tasks. For more details on how tool use works, refer to The complete tool use workflow.

APIs 90

APIs Healthcare Consulting Consulting 90

AWS Machine Learning

JUNE 5, 2025

During the EBA, experienced AWS ML subject matter experts and the AWS Account Team worked closely with Radials cross-functional team. This transition initiated the model deployment process, which involved: Provisioning infrastructure The software team set up the necessary infrastructure to host the ML API in a test environment.

APIs 60

APIs Engineering Accountability Government 60

AWS Machine Learning

OCTOBER 2, 2024

However, scaling up generative AI and making adoption easier for different lines of businesses (LOBs) comes with challenges around making sure data privacy and security, legal, compliance, and operational complexities are governed on an organizational level. In this post, we discuss how to address these challenges holistically.

Government 128

Government APIs Enterprise Best practices 128

AWS Machine Learning

NOVEMBER 19, 2024

Plus, learn how to evolve from data aggregation to data semantics to support data-driven applications while maintaining flexibility and governance. Learn how they created specialized agents for different tasks like account management, repos, pipeline management, and more to help their developers go faster.

APIs 103

APIs Enterprise Best practices Contact Center 103

AWS Machine Learning

JUNE 16, 2025

The solution calls a third-party API to fetch a user’s current investment portfolio. The external-bedrock-agent-api code implements a portfolio recommendation system using Amazon Bedrock Agents and Flask. This function transforms user preferences into JSON data and delivers either an API response or error message back to the user.

APIs 94

APIs Scripts Government Best practices 94

AWS Machine Learning

OCTOBER 5, 2022

So much exposure naturally brings added risks like account takeover (ATO). Each year, bad actors compromise billions of accounts through stolen credentials, phishing, social engineering, and multiple forms of ATO. To put it into perspective: account takeover fraud increased by 90% to an estimated $11.4 Overview of solution.

Accountability 96

Accountability APIs Metrics Engineering 96

AWS Machine Learning

FEBRUARY 25, 2025

Organizations trust Alations platform for self-service analytics, cloud transformation, data governance, and AI-ready data, fostering innovation at scale. Prerequisites For this walkthrough, you should have the following prerequisites: An AWS account Access to the Alation service with the ability to create new policies and access tokens.

Enterprise 99

Enterprise Engineering APIs Accountability 99