This Guidance shows how you can improve operational efficiency in the travel & hospitality (T&H) industry by integrating generative artificial intelligence (AI) into customer service applications. Amazon Bedrock, a managed service to build generative AI applications, offers foundation models (FMs) to power chatbots that understand natural language queries and provide instant, contextual responses. Generative AI technology, such as large language models (LLMs), help your chatbots understand common inquiries and offer personalized assistance, freeing your support agents to focus on complex issues.

Please note: [Disclaimer]

Architecture Diagram

[Architecture diagram description]

Download the architecture diagram PDF 

Well-Architected Pillars

The AWS Well-Architected Framework helps you understand the pros and cons of the decisions you make when building systems in the cloud. The six pillars of the Framework allow you to learn architectural best practices for designing and operating reliable, secure, efficient, cost-effective, and sustainable systems. Using the AWS Well-Architected Tool, available at no charge in the AWS Management Console, you can review your workloads against these best practices by answering a set of questions for each pillar.

The architecture diagram above is an example of a Solution created with Well-Architected best practices in mind. To be fully Well-Architected, you should follow as many Well-Architected best practices as possible.

  • Lambda provides automatic scaling, fault tolerance, and high availability, allowing you to run code without provisioning servers. Step Functions enables coordination and sequencing of multiple AWS services, simplifying complex workflow management. These services enhance operational excellence by automating processes, providing monitoring and logging, enabling continuous compliance monitoring, and facilitating faster and reliable software releases.

    Read the Operational Excellence whitepaper 
  • Amazon S3 provides secure data storage with encryption, access control, and integration with AWS Key Management Service (AWS KMS). API Gateway acts as a secure API entry point, supporting authentication mechanisms like AWS Signature Version 4, AWS Identity and Access Management (IAM) roles, Lambda authorizers, and JSON Web Tokens (JWT). These services provide encryption, access control, auditing, and secure execution environments to protect data and systems.

    Read the Security whitepaper 
  • DynamoDB provides built-in replication across Availability Zones, ensuring high availability and durability. It supports global tables for multi-Region replication and failover. Fargate automatically scales and manages infrastructure for containers, helping ensure high availability, automatic scaling, durable data storage, and fault tolerance.

    Read the Reliability whitepaper 
  • Athena allows querying data directly from Amazon S3 without loading or transforming, reducing overhead and compute resources. Amazon EMR provides a managed environment for processing large datasets, automatically scaling resources based on workload demands. Services like Amazon EMR automatically scale resources based on workload, ensuring optimal performance and efficient resource utilization. They manage the underlying infrastructure, freeing you from provisioning and management tasks. By separating compute from storage, Athena allows scaling resources independently, reducing costs and improving performance efficiency.

    Read the Performance Efficiency whitepaper 
  • Amazon Connect eliminates expensive on-premises infrastructure and software licenses. Its advanced analytics and reporting help identify operational efficiencies and cost-saving opportunities. Amazon Lex reduces manual customer support staff, lowering operational costs. By eliminating expensive contact center infrastructure, reducing human agents' need, and automating transcription, these services optimize costs.

    Read the Cost Optimization whitepaper 
  • Amazon Redshift provides a cloud-based data warehousing service designed to be highly efficient and cost-effective. It automatically provisions and manages underlying compute and storage resources, reducing over-provisioning and minimizing energy consumption. Redshift allows scaling resources up or down as needed, further optimizing resource utilization and reducing waste.

    Read the Sustainability whitepaper 
[Content Type]

[Title]

This [blog post/e-book/Guidance/sample code] demonstrates how [insert short description].

Disclaimer

The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.

References to third-party services or organizations in this Guidance do not imply an endorsement, sponsorship, or affiliation between Amazon or AWS and the third party. Guidance from AWS is a technical starting point, and you can customize your integration with third-party services when you deploy the architecture.

Was this page helpful?