Accountability, APIs and Best practices - Customer Contact Central

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. For multiple accounts, assign mandatory tags to each one, identifying its purpose and the owner responsible.

Government

Government Best practices Accountability APIs

Implement secure API access to your Amazon Q Business applications with IAM federation user access management

AWS Machine Learning

NOVEMBER 22, 2024

AWS recommends using AWS IAM Identity Center when you have a large number of users in order to achieve a seamless user access management experience for multiple Amazon Q Business applications across many AWS accounts in AWS Organizations. illustrate how the administrators can automate Steps 2 and 3 using AWS APIs. and oidcapp.py

APIs

APIs Scripts Management Enterprise

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 this post, we explore how chaining domain-specific agents using Amazon Bedrock Agents can transform a system of complex API interactions into streamlined, adaptive workflows, empowering your business to operate with agility and precision.

APIs

APIs Enterprise Best practices Accountability

Best practices for building robust generative AI applications with Amazon Bedrock Agents – Part 1

AWS Machine Learning

OCTOBER 2, 2024

This two-part series explores best practices for building generative AI applications using Amazon Bedrock Agents. This data provides a benchmark for expected agent behavior, including the interaction with existing APIs, knowledge bases, and guardrails connected with the agent. None What is the balance for the account 1234?

Best practices

Best practices APIs Metrics Benchmark

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

Best practices for building secure applications with Amazon Transcribe

AWS Machine Learning

MARCH 25, 2024

Because these best practices might not be appropriate or sufficient for your environment, use them as helpful considerations rather than prescriptions. Applications must have valid credentials to sign API requests to AWS services. The customer data is cleaned up for both complete and failure cases.

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Best practices APIs Transportation Personalization

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

AWS Machine Learning

OCTOBER 21, 2024

In Part 1 of this series, we explored best practices for creating accurate and reliable agents using Amazon Bedrock Agents. The agent can use company APIs and external knowledge through Retrieval Augmented Generation (RAG). If you already have an OpenAPI schema for your application, the best practice is to start with it.

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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

Best practices to build generative AI applications on AWS

AWS Machine Learning

MARCH 14, 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 via a single API. This is because such tasks require organization-specific data and workflows that typically need custom programming.

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Best practices Engineering Chatbots Enterprise

Training large language models on Amazon SageMaker: Best practices

AWS Machine Learning

MARCH 6, 2023

In this post, we dive into tips and best practices for successful LLM training on Amazon SageMaker Training. The post covers all the phases of an LLM training workload and describes associated infrastructure features and best practices. Some of the best practices in this post refer specifically to ml.p4d.24xlarge

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Drive efficiencies with CI/CD best practices on Amazon Lex

AWS Machine Learning

JULY 7, 2022

You liked the overall experience and now want to deploy the bot in your production environment, but aren’t sure about best practices for Amazon Lex. In this post, we review the best practices for developing and deploying Amazon Lex bots, enabling you to streamline the end-to-end bot lifecycle and optimize your operations.

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Common Challenges in Automated API Testing: Overcoming Obstacles with Expert Solutions

CSM Magazine

DECEMBER 27, 2023

Automated API testing stands as a cornerstone in the modern software development cycle, ensuring that applications perform consistently and accurately across diverse systems and technologies. Continuous learning and adaptation are essential, as the landscape of API technology is ever-evolving.

APIs

APIs Benchmark Best practices Technology

Secure Amazon SageMaker Studio presigned URLs Part 2: Private API with JWT authentication

AWS Machine Learning

JUNE 30, 2022

In this post, we will continue to build on top of the previous solution to demonstrate how to build a private API Gateway via Amazon API Gateway as a proxy interface to generate and access Amazon SageMaker presigned URLs. The user invokes createStudioPresignedUrl API on API Gateway along with a token in the header.

APIs

APIs Enterprise Big data Accountability

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

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How to Communicate Effectively with Customers: Best Practices

Cincom

MAY 8, 2024

The key stages include: Initial Research: Early messaging should focus on educating prospects with thought leadership content detailing industry trends and best practices. Aligning messaging to each phase accelerates growth. This builds awareness and trust. These steps help improve relevancy, consistency, and timeliness.

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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. Deploy the AWS CDK project to provision the required resources in your AWS account.

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APIs Management Engineering Enterprise

Get more out of SuccessBLOCS and APIs

Totango

MAY 20, 2020

Earlier this year we launched the SuccessBLOC marketplace to make finding best practices and templates easier. Stream Account & User Tag Information Using Customer Data Hub API. Now, tag information can be easily streamed to Totango via Customer Data Hub API. Save your spot . Have a wonderful safe week, Ravit

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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

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Integrate foundation models into your code with Amazon Bedrock

AWS Machine Learning

NOVEMBER 6, 2024

Enter Amazon Bedrock , a fully managed service that provides developers with seamless access to cutting-edge FMs through simple APIs. Solution overview Amazon Bedrock provides a simple and efficient way to use powerful FMs through APIs, without the need for training custom models. If you don’t have one, you can create a new account.

APIs

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Build a cross-account MLOps workflow using the Amazon SageMaker model registry

AWS Machine Learning

NOVEMBER 16, 2022

When designing production CI/CD pipelines, AWS recommends leveraging multiple accounts to isolate resources, contain security threats and simplify billing-and data science pipelines are no different. Some things to note in the preceding architecture: Accounts follow a principle of least privilege to follow security best practices.

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Prevent account takeover at login with the new Account Takeover Insights model in Amazon Fraud Detector

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.

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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. You can choose from various FMs from Amazon and leading AI startups such as AI21 Labs, Anthropic, Cohere, and Stability AI to find the model that’s best suited for your use case.

APIs

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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. What are some S3 best practices? What is the total revenue for each employee?

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APIs Best practices Construction Engineering

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

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Customize Amazon Textract with business-specific documents using Custom Queries

AWS Machine Learning

NOVEMBER 6, 2023

In addition, we discuss the benefits of Custom Queries and share best practices for effectively using this feature. Refer to Best Practices for Queries to draft queries applicable to your use case. Adapters can be created via the console or programmatically via the API. What is the account#?

APIs

APIs Best practices Banking Accountability

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

AWS Machine Learning

OCTOBER 2, 2024

Because this is an emerging area, best practices, practical guidance, and design patterns are difficult to find in an easily consumable basis. This integration makes sure enterprises can take advantage of the full power of generative AI while adhering to best practices in operational excellence.

Government

Government APIs Enterprise Best practices

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

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

AWS Machine Learning

OCTOBER 3, 2024

In this post, we describe how Aviva built a fully serverless MLOps platform based on the AWS Enterprise MLOps Framework and Amazon SageMaker to integrate DevOps best practices into the ML lifecycle. Developers can use the AWS Cloud Development Kit (AWS CDK) to customize the solution to align with the company’s specific account setup.

APIs

APIs Construction Engineering Accountability

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.

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

AWS Machine Learning

JULY 17, 2023

As described in the AWS Well-Architected Framework , separating workloads across accounts enables your organization to set common guardrails while isolating environments. Organizations with a multi-account architecture typically have Amazon Redshift and SageMaker Studio in two separate AWS accounts.

Accountability

Accountability APIs Best practices Management

Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

AWS Machine Learning

NOVEMBER 14, 2024

We recently announced the general availability of cross-account sharing of Amazon SageMaker Model Registry using AWS Resource Access Manager (AWS RAM) , making it easier to securely share and discover machine learning (ML) models across your AWS accounts. Mitigation strategies : Implementing measures to minimize or eliminate risks.

Government

Government Management APIs Accountability

Empower your generative AI application with a comprehensive custom observability solution

AWS Machine Learning

OCTOBER 29, 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, Stability AI, and Amazon through a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

Best practices

Best practices Feedback Metrics APIs

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. This broad compatibility allows customers to work with models that best suit their specific needs and use cases, allowing for greater flexibility and choice in model selection. 2, 3, 3.1,

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Automate cloud security vulnerability assessment and alerting using Amazon Bedrock

AWS Machine Learning

NOVEMBER 18, 2024

You need to establish proper security guardrails in the cloud environment and create a proactive monitoring practice to strengthen your cloud security posture and maintain required compliance standards. The Lambda function calls Anthropic’s Claude 3 Sonnet model through Amazon Bedrock APIs with the input request.

APIs

APIs Accountability Engineering Enterprise

Getting started with cross-region inference in Amazon Bedrock

AWS Machine Learning

AUGUST 27, 2024

Moreover, this capability prioritizes the connected Amazon Bedrock API source/primary region when possible, helping to minimize latency and improve responsiveness. Compatibility with existing Amazon Bedrock API No additional routing or data transfer cost and you pay the same price per token for models as in your source/primary region.

APIs

APIs Engineering Best practices Management

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

AWS Machine Learning

JULY 30, 2024

For example, it enables user subscription management across Amazon Q offerings and consolidates Amazon Q billing from across multiple AWS accounts. Additionally, Q Business conversation APIs employ a layer of privacy protection by leveraging trusted identity propagation enabled by IAM Identity Center. Finally, you have an OAuth 2.0

APIs

APIs Enterprise Accountability Management

10 Best Practices to Develop Your Digital Transformation Framework

aircall

MAY 24, 2021

By following best practices for your digital transformation framework, you also get the benefit of flexibility so you can add and subtract digital tools as your company’s needs change. Software integrations assist on both accounts. Accountability framework. What Is a Digital Transformation Framework? Digital platform.

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Best practices Call Center Analytics Technology

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

AWS Machine Learning

JULY 17, 2024

This post shows how to use AWS generative artificial intelligence (AI) services , like Amazon Q Business , with AWS Support cases, AWS Trusted Advisor , and AWS Health data to derive actionable insights based on common patterns, issues, and resolutions while using the AWS recommendations and best practices enabled by support data.

Scripts

Scripts APIs Enterprise Accountability

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

AWS Machine Learning

OCTOBER 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 Construction Engineering Accountability

Generate customized, compliant application IaC scripts for AWS Landing Zone using Amazon Bedrock

AWS Machine Learning

APRIL 18, 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 with a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Scripts

Scripts Best practices Engineering Accountability

Discover insights with the Amazon Q Business Microsoft Teams connector

AWS Machine Learning

NOVEMBER 11, 2024

If you don’t have Microsoft user account yet, see Add users and assign licenses at the same time. Create a Microsoft Teams account in Microsoft 365. Add necessary permissions: In the API Permissions section of your application page, choose Add a Permission. Next, prepare the Microsoft 365 tenant ID and OAuth 2.0

APIs

APIs Accountability Automotive Enterprise

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

AWS Machine Learning

APRIL 23, 2024

The AWS Well-Architected Framework provides best practices and guidelines for designing and operating reliable, secure, efficient, and cost-effective systems in the cloud. It calls the CreateDataSource and DeleteDataSource APIs. Minimally, you must specify the following properties: Name – Specify a name for the knowledge base.

APIs

APIs Enterprise Scripts Accountability

Connect Amazon Q Business to Microsoft SharePoint Online using least privilege access controls

AWS Machine Learning

JULY 29, 2024

This post demonstrates how to use Amazon Q Business with SharePoint Online as the data source to provide answers, generate summaries, and present insights using least privilege access controls and best practices recommended by Microsoft SharePoint Dev Support Team. Choose API permissions under Manage in the navigation pane.

APIs

APIs Accountability Best practices Engineering

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

AWS Machine Learning

JULY 10, 2024

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. Alternatively, you can use the CreateFlow API for a programmatic creation of flows that help you automate processes and development pipelines.

Management

Management APIs Chatbots Best practices

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

Implement secure API access to your Amazon Q Business applications with IAM federation user access management

Trending Sources

Streamline workflow orchestration of a system of enterprise APIs using chaining with Amazon Bedrock Agents

Best practices for building robust generative AI applications with Amazon Bedrock Agents – Part 1

Use the ApplyGuardrail API with long-context inputs and streaming outputs in Amazon Bedrock

Best practices for building secure applications with Amazon Transcribe

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

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

Best practices to build generative AI applications on AWS

Training large language models on Amazon SageMaker: Best practices

Drive efficiencies with CI/CD best practices on Amazon Lex

Common Challenges in Automated API Testing: Overcoming Obstacles with Expert Solutions

Secure Amazon SageMaker Studio presigned URLs Part 2: Private API with JWT authentication

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

How to Communicate Effectively with Customers: Best Practices

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

Get more out of SuccessBLOCS and APIs

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

Integrate foundation models into your code with Amazon Bedrock

Build a cross-account MLOps workflow using the Amazon SageMaker model registry

Prevent account takeover at login with the new Account Takeover Insights model in Amazon Fraud Detector

Use AWS PrivateLink to set up private access to Amazon Bedrock

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

How healthcare payers and plans can empower members with generative AI

Customize Amazon Textract with business-specific documents using Custom Queries

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

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

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

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

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

Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

Empower your generative AI application with a comprehensive custom observability solution

Amazon Bedrock Custom Model Import now generally available

Automate cloud security vulnerability assessment and alerting using Amazon Bedrock

Getting started with cross-region inference in Amazon Bedrock

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

10 Best Practices to Develop Your Digital Transformation Framework

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

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

Generate customized, compliant application IaC scripts for AWS Landing Zone using Amazon Bedrock

Discover insights with the Amazon Q Business Microsoft Teams connector

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

Connect Amazon Q Business to Microsoft SharePoint Online using least privilege access controls

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

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