APIs, Best practices and Events - Customer Contact Central

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 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.

Best practices

Best practices APIs Entertainment Construction

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.

Best practices

Best practices APIs Metrics Accountability

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.

Best practices

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

Best practices

Best practices APIs Transportation Scripts

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. Setting up workflows to activate events like purchases, milestones, or renewals enables sending personalized messages precisely when engagement potential is highest.

Best practices

Best practices Metrics Education CRM

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

Best practices for load testing Amazon SageMaker real-time inference endpoints

AWS Machine Learning

JANUARY 10, 2023

This post describes the best practices for load testing a SageMaker endpoint to find the right configuration for the number of instances and size. For example, if you client is making the InvokeEndpoint API call over the internet, from the client’s perspective, the end-to-end latency would be internet + ModelLatency + OverheadLatency.

Best practices

Best practices Scripts APIs Metrics

Revolutionize logo design creation with Amazon Bedrock: Embracing generative art, dynamic logos, and AI collaboration

AWS Machine Learning

SEPTEMBER 18, 2024

Amazon Bedrock enables access to powerful generative AI models like Stable Diffusion through a user-friendly API. The user chooses Call API to invoke API Gateway to begin processing on the backend. The API invokes a Lambda function, which uses the Amazon Bedrock API to invoke the Stability AI SDXL 1.0

APIs

APIs Best practices Entertainment Advertising

GenASL: Generative AI-powered American Sign Language avatars

AWS Machine Learning

AUGUST 26, 2024

The GenASL web app invokes the backend services by sending the S3 object key in the payload to an API hosted on Amazon API Gateway. API Gateway instantiates an AWS Step Functions The state machine orchestrates the AI/ML services Amazon Transcribe and Amazon Bedrock and the NoSQL data store Amazon DynamoDB using AWS Lambda functions.

APIs

APIs Calibration Best practices Healthcare

Create a multimodal chatbot tailored to your unique dataset with Amazon Bedrock FMs

AWS Machine Learning

OCTOBER 14, 2024

The logic flow for generating an answer to a text-image response pair routes as follows: Steps 1 and 2 – To start, a user query and corresponding image are routed through an Amazon API Gateway connection to an AWS Lambda function, which serves as the processing and orchestrating compute for the overall process.

Chatbots

Chatbots APIs Engineering Healthcare

Building Generative AI prompt chaining workflows with human in the loop

AWS Machine Learning

MAY 17, 2024

The application uses event-driven architecture (EDA), a powerful software design pattern that you can use to build decoupled systems by communicating through events. The event starts an AWS Step Functions workflow. Detect if the review content has any harmful information using the Amazon Comprehend DetectToxicContent API.

APIs

APIs Construction Engineering Enterprise

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

Automate cloud security vulnerability assessment and alerting using Amazon Bedrock

AWS Machine Learning

NOVEMBER 18, 2024

GuardDuty integrates with Amazon EventBridge by creating an event for EventBridge for new generated vulnerability findings. Solution overview The solution uses the built-in integration between GuardDuty and EventBridge to raise an event notification for any new vulnerability findings in your AWS accounts or workloads.

APIs

APIs Accountability Engineering Enterprise

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

AWS Machine Learning

JANUARY 10, 2024

The solution uses AWS Lambda , Amazon API Gateway , Amazon EventBridge , and SageMaker to automate the workflow with human approval intervention in the middle. EventBridge monitors status change events to automatically take actions with simple rules. API Gateway invokes a Lambda function to initiate model updates.

APIs

APIs Construction Engineering Analytics

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. Select Titan Text G1 – Express.

APIs

APIs Accountability Best practices Engineering

13 Call Center Best Practices That Actually Help (Pt.1)

Babelforce

MARCH 12, 2020

And some contact centers have to do all that without much support from the rest of the business… But here are some call center best practices that should make your job easier. #1 Best practice’ should mean best for you and best for customers. Data hygiene is itself some call center best practice.

Best practices

Best practices Call Center Interactive Voice Response Surveys

Implement backup and recovery using an event-driven serverless architecture with Amazon SageMaker Studio

AWS Machine Learning

MAY 3, 2023

This post explains the backup and recovery module and one approach to automate the process using an event-driven architecture. Solution overview The following diagram illustrates the high-level workflow of Studio domain backup and recovery with an event-driven architecture.

Scripts

Scripts APIs Accountability 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

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

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. Who does GDPR apply to?

Best practices

Best practices APIs Accountability Personalization

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

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

AWS Machine Learning

MAY 30, 2024

AWS Prototyping successfully delivered a scalable prototype, which solved CBRE’s business problem with a high accuracy rate (over 95%) and supported reuse of embeddings for similar NLQs, and an API gateway for integration into CBRE’s dashboards. A user sends a question (NLQ) as a JSON event. If it finds any, it skips to Step 6.

Real estate

Real estate APIs Metrics Construction

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

Your guide to generative AI and ML at AWS re:Invent 2024

AWS Machine Learning

NOVEMBER 19, 2024

The excitement is building for the fourteenth edition of AWS re:Invent, and as always, Las Vegas is set to host this spectacular event. In this session, learn best practices for effectively adopting generative AI in your organization. This session covers best practices for a responsible evaluation.

APIs

APIs Enterprise Best practices Government

AI in Customer Service: Chatbots and ChatGPT are just the Start

TechSee

JUNE 29, 2023

Similarly, AI easily scales up and down to meet changing demands, eliminating long wait times and poor CX during mass service events or seasons. Like agents, the LLM must have visibility into system outage statuses and training on the latest agent guidance or best practices.

Chatbots

Chatbots Customer Service Wait times APIs

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

AWS Machine Learning

OCTOBER 14, 2024

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

APIs

APIs Construction Government Big data

Elevating the generative AI experience: Introducing streaming support in Amazon SageMaker hosting

AWS Machine Learning

SEPTEMBER 1, 2023

Solution overview To get responses streamed back from SageMaker, you can use our new InvokeEndpointWithResponseStream API. Other streaming techniques like Server-Sent Events (SSE) are also implemented using the same HTTP chunked encoding mechanism. This API allows the model to respond as a stream of parts of the full response payload.

APIs

APIs Chatbots Engineering Best practices

Expedite your Genesys Cloud Amazon Lex bot design with the Amazon Lex automated chatbot designer

AWS Machine Learning

MARCH 1, 2024

The solution workflow consists of the following steps: Genesys Cloud sends iterative transcripts events to your EventBridge event bus. Lambda receives the iterative transcripts from EventBridge, determines when a conversation is complete, and invokes the Transcript API within Genesys Cloud and drops the full transcript in an S3 bucket.

Chatbots

Chatbots APIs Self service Contact Center

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

AWS Machine Learning

MAY 1, 2024

For interacting with AWS services, the AWS Amplify JS library for React simplifies the authentication, security, and API requests. The backend uses several serverless and event-driven AWS services, including AWS Step Functions for low-code workflows, AWS AppSync for a GraphQL API, and Amazon Translate.

APIs

APIs Construction Best practices Technology

Live Meeting Assistant with Amazon Transcribe, Amazon Bedrock, and Knowledge Bases for Amazon Bedrock

AWS Machine Learning

APRIL 18, 2024

A Lambda function called the Call Event Processor, fed by Kinesis Data Streams, processes and optionally enriches meeting metadata and transcription segments. The Call Event Processor integrates with the meeting assist services. The stacks take about 35–40 minutes to deploy. Authentication is provided by Amazon Cognito.

APIs

APIs Accountability Analytics Entertainment

Integrate QnABot on AWS with ServiceNow

AWS Machine Learning

FEBRUARY 6, 2024

The workflow includes the following steps: A QnABot administrator can configure the questions using the Content Designer UI delivered by Amazon API Gateway and Amazon Simple Storage Service (Amazon S3). then(response => password=response); // fetch description and userid from event var shortDesc = event.req. Choose Create function.

Chatbots

Chatbots APIs Self service Banking

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

AWS Machine Learning

MAY 1, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Chatbots

Chatbots APIs Engineering Automotive

Build well-architected IDP solutions with a custom lens – Part 1: Operational excellence

AWS Machine Learning

NOVEMBER 22, 2023

By using the Framework, you will learn operational and architectural best practices for designing and operating reliable, secure, efficient, cost-effective, and sustainable workloads in the cloud. Set up regular game days to test workload and team responses to simulated events.

Best practices

Best practices Metrics Feedback Enterprise

Use a pre-signed URL to provide your business analysts with secure access to Amazon SageMaker Canvas

AWS Machine Learning

JUNE 14, 2022

This function is directly called via its function URL, a simple way to assign an HTTP(S) endpoint to the Lambda function directly, without the need for a REST API. However, this isn’t a best practice and it’s not advised for production workloads. Calling the API with this information. The Canvas app.

APIs

APIs Best practices Accountability Management

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

Semantic image search for articles using Amazon Rekognition, Amazon SageMaker foundation models, and Amazon OpenSearch Service

AWS Machine Learning

SEPTEMBER 8, 2023

Amazon Rekognition makes it easy to add image analysis capability to your applications without any machine learning (ML) expertise and comes with various APIs to fulfil use cases such as object detection, content moderation, face detection and analysis, and text and celebrity recognition, which we use in this example.

APIs

APIs Scripts Entertainment Personalization

Architecture to AWS CloudFormation code using Anthropic’s Claude 3 on Amazon Bedrock

AWS Machine Learning

SEPTEMBER 27, 2024

The workflow consists of the following steps: The user uploads an architecture image (JPEG or PNG) on the Streamlit application, invoking the Amazon Bedrock API to generate a step-by-step explanation of the architecture using the Anthropic’s Claude 3 Sonnet model. The following diagram illustrates the step-by-step process.

Best practices

Best practices Engineering APIs Customer centricity

3 steps to customer survey automation

delighted

DECEMBER 3, 2021

Great examples of automated distribution include survey integrations and Application Programming Interface (API) connections. And, setting up APIs can link two applications to one another for data sharing/interacting purposes, making manual uploads a thing of the past. Create custom APIs for more complex use cases. Delighted).

Surveys

Surveys APIs SaaS Engineering

Five Ways on How Marketing on WhatsApp Works

CSM Magazine

JUNE 21, 2024

Send Reminders Businesses may send personalised reminders to their clients, such as appointment, payment, and event reminders. The API may be used to implement this functionality as well. These reminders may be sent straight to the customer’s WhatsApp inbox, guaranteeing that they get and see the message.

Marketing

Marketing APIs Best practices Customer Care

Brilliant words, brilliant writing: Using AWS AI chips to quickly deploy Meta LLama 3-powered applications

AWS Machine Learning

OCTOBER 21, 2024

In this blog post, we will introduce how to use an Amazon EC2 Inf2 instance to cost-effectively deploy multiple industry-leading LLMs on AWS Inferentia2 , a purpose-built AWS AI chip, helping customers to quickly test and open up an API interface to facilitate performance benchmarking and downstream application calls at the same time.

APIs

APIs Benchmark Education Marketing

Build a centralized monitoring and reporting solution for Amazon SageMaker using Amazon CloudWatch

AWS Machine Learning

AUGUST 10, 2023

As recommended by AWS as a best practice , customers have used separate accounts to simplify policy management for users and isolate resources by workloads and account. SageMaker has native integration with the Amazon EventBridge , which monitors status change events in SageMaker.

Scripts

Scripts Accountability Metrics Best practices

Use Amazon SageMaker Studio with a custom file system in Amazon EFS

AWS Machine Learning

OCTOBER 17, 2024

You should have an AWS CloudTrail log file that logs the SageMaker API CreateUserProfile. If the access to AWS services in the selected VPC is restricted using AWS PrivateLink , make sure the Lambda security group can connect to the interface VPC endpoints for SageMaker (API), Amazon EFS, and Amazon Elastic Compute Cloud (Amazon EC2).

Government

Government Accountability APIs Engineering

How DPG Media uses Amazon Bedrock and Amazon Transcribe to enhance video metadata with AI-powered pipelines

AWS Machine Learning

OCTOBER 16, 2024

Generate metadata Now that DPG Media has the transcription of the audio files, they use LLMs through Amazon Bedrock to generate the various categories of metadata (summaries, genre, mood, key events, and so on). To evaluate the metadata quality, the team used reference-free LLM metrics, inspired by LangSmith.

Engineering

Engineering Metrics APIs Big data

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

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

Trending Sources

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

Best practices to build generative AI applications on AWS

Training large language models on Amazon SageMaker: Best practices

How to Communicate Effectively with Customers: Best Practices

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

Best practices for load testing Amazon SageMaker real-time inference endpoints

Revolutionize logo design creation with Amazon Bedrock: Embracing generative art, dynamic logos, and AI collaboration

GenASL: Generative AI-powered American Sign Language avatars

Create a multimodal chatbot tailored to your unique dataset with Amazon Bedrock FMs

Building Generative AI prompt chaining workflows with human in the loop

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

Automate cloud security vulnerability assessment and alerting using Amazon Bedrock

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

Integrate foundation models into your code with Amazon Bedrock

13 Call Center Best Practices That *Actually Help* (Pt.1)

Implement backup and recovery using an event-driven serverless architecture with Amazon SageMaker Studio

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

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

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

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

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

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

Your guide to generative AI and ML at AWS re:Invent 2024

AI in Customer Service: Chatbots and ChatGPT are just the Start

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

Elevating the generative AI experience: Introducing streaming support in Amazon SageMaker hosting

Expedite your Genesys Cloud Amazon Lex bot design with the Amazon Lex automated chatbot designer

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

Live Meeting Assistant with Amazon Transcribe, Amazon Bedrock, and Knowledge Bases for Amazon Bedrock

Integrate QnABot on AWS with ServiceNow

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

Build well-architected IDP solutions with a custom lens – Part 1: Operational excellence

Use a pre-signed URL to provide your business analysts with secure access to Amazon SageMaker Canvas

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

Semantic image search for articles using Amazon Rekognition, Amazon SageMaker foundation models, and Amazon OpenSearch Service

Architecture to AWS CloudFormation code using Anthropic’s Claude 3 on Amazon Bedrock

3 steps to customer survey automation

Five Ways on How Marketing on WhatsApp Works

Brilliant words, brilliant writing: Using AWS AI chips to quickly deploy Meta LLama 3-powered applications

Build a centralized monitoring and reporting solution for Amazon SageMaker using Amazon CloudWatch

Use Amazon SageMaker Studio with a custom file system in Amazon EFS

How DPG Media uses Amazon Bedrock and Amazon Transcribe to enhance video metadata with AI-powered pipelines

Stay Connected

13 Call Center Best Practices That Actually Help (Pt.1)