Trusst AI Resource Centre
  • πŸ‘‹Welcome to the Trusst AI Resource Center.
  • Overview
    • 🌏Why We're Here & What We Do
    • πŸ’‘Problem Statement
    • πŸ”‘Use Cases
    • ✨Capabilities
      • πŸ‘‚Lissten (transcribe & translate)
      • 🀝Trussted Agent (conversational AI)
      • 🌊AI Workflows (alerts, triggers, workflows)
      • πŸ‘€InteractIQ (AI powered Insights)
      • πŸ’¬DataDialog (conversational interface)
      • πŸ—ΊοΈTrusst Based Routing (AI powered Decision Engine)
    • πŸ’³Trusst AI Subscription Fees
  • Product Guides
    • πŸ› οΈDeployment Guide (Trusst AI on AWS)
    • πŸ“–User Guide
    • πŸ”‘Integrating Your Identity Provider
    • πŸ‘₯User Roles & Permissions
    • ♻️Suggested Iteration Cycle
    • ☁️Trusst AI Architecture
    • Network Considerations
    • πŸ”Data Security
    • πŸš΄β€β™‚οΈData Lifecycle Management
    • 🫢Advocating for Responsible AI
    • πŸ”§Testing, Troubleshooting & Health Check
    • Shared Responsibility Model
    • πŸ’Support
    • πŸ“ˆAI Model Training & Testing
    • ❓Frequently Asked Questions
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On this page
  • Introduction
  • Data Inputs
  • Data Storage
  • Data Archival
  • Data Deletion
  1. Product Guides

Data Lifecycle Management

Introduction

Welcome to Trusst AI's data lifecycle management documentation. This guide will help you understand how data inputs and outputs are handled, stored, and managed within Trusst AI, leveraging DynamoDB and Amazon Redshift Serverless.

Data Inputs

1. Audio Recordings

Audio recordings from customer conversations are ingested and processed using Trusst Lissten, a feature within Trusst AI. These recordings are transcribed and translated before storage.

2. Transcripts and Text Data

Transcripts from various sources, such as call transcripts, verbatim feedback, survey results, emails, and live chat transcripts, are ingested into Trusst AI.

3. Unstructured Documents

Unstructured documents, including claim forms and snail mail, are processed and converted into structured data for further analysis.

Data Storage

1. DynamoDB

DynamoDB is used for storing metadata and indexing information related to the data ingested by Trusst AI. This allows for efficient querying and retrieval of data.

Configuration

  • Time to Live (TTL): To manage the lifecycle of data, we configure DynamoDB's TTL settings to automatically delete items after a specified period. This helps in managing storage costs and ensuring compliance with data retention policies.

    • Placeholder: DynamoDB Time to Live Configuration

  • Indexing: We utilize Global Secondary Indexes (GSI) and Local Secondary Indexes (LSI) to enable efficient querying based on different attributes.

    • Placeholder: DynamoDB Indexing

2. Amazon Redshift Serverless

Amazon Redshift Serverless is used for storing large volumes of structured data and performing complex analytical queries. This is particularly useful for generating reports and insights from the ingested data.

Configuration

  • Data Retention and Automatic Backup: By default Amazon Redshift takes a snapshot about every eight hours or following every 5 GB per node of data changes, or whichever comes first. to ensure durability and availability.

Data Archival

For long-term storage, data can be archived to Amazon S3, ensuring that it is available when needed but not consuming expensive storage resources in DynamoDB or Redshift Serverless.

  • Placeholder: Amazon S3 Data Archival

Data Deletion

Data that is no longer needed can be permanently deleted from both DynamoDB and Redshift Serverless. This is managed through configurable data retention and TTL policies.

Conclusion

Effective data lifecycle management is crucial for ensuring data integrity, compliance, and cost management. By leveraging DynamoDB and Amazon Redshift Serverless, Trusst AI provides robust solutions for storing, managing, and analyzing data. For detailed configurations and more information, please refer to the respective AWS documentation linked throughout this guide.

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Last updated 18 days ago

Configuring

For further assistance, please contact our support team via the .

πŸš΄β€β™‚οΈ
Amazon Redshift Snapshots and Backups
Deleting data from an Amazon DynamoDB table
Truncate/Delete Data from Amazon Redshift
Trusst Customer Support Portal