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What does it do?

  • Data Mapping
  • Data Integration
  • Data Normalization
  • Data Pipeline Management
  • Data Transformation

How is it used?

  • Use web app or API
  • automate data mapping and normalization.
  • 1. Access web platform
  • 2. Ingest data
  • 3. Build pipelines
See more

Who is it good for?

  • Data Scientists
  • IT Professionals
  • Business Intelligence Analysts
  • Data Engineers
  • Data-Driven Enterprises

Details & Features

  • Made By

    Lume
  • Released On

    2023-10-24

Lume AI is a platform that automates and streamlines data mapping and management processes using artificial intelligence. It enables businesses to efficiently integrate, normalize, and manage data across various systems, simplifying complex data environments.

Key features:

- AI-Powered Data Mapping: Automatically generates mapping logic to move data between schemas, reducing time and effort in data integration.
- Data Normalization: Ensures consistency and accuracy by normalizing data from different systems.
- Complex Data Handling: Transforms complex data efficiently using AI.
- Pipeline Building: Enables quick creation of numerous data pipelines, reading from and writing to various source and destination models.
- Auto-Maintenance: Detects changes in source data or target models and automatically re-transforms data to adapt.
- Mapper Deployment: Allows saving and deploying mappers for confident, deterministic future data mapping.
- Visibility and Management: Provides comprehensive oversight of all data pipelines and mappings, enabling quick review, editing, and deployment.
- Security: Built with SOC2 Type-1 and Type-2 certification, ensuring high-security standards in data handling.

How it works:

1. Users onboard customer and partner data through data ingestion.
2. AI generates mapping logic to move data between schemas, normalizing and transforming as needed.
3. Users build and manage data pipelines, with automatic maintenance and adaptation to model changes.
4. Mappers are reviewed, edited, and deployed for seamless data integration and management.

Integrations:

- Various data sources and destination models
- CI/CD workflows
- Mobile app for on-the-go management

Use of AI:

Lume AI uses generative artificial intelligence to automate and enhance data mapping processes. The platform employs advanced machine learning techniques to handle complex data transformations and mappings.

AI foundation model:

The specific AI foundation models or large language models (LLMs) used are not detailed, but the platform's capabilities suggest the use of advanced machine learning techniques.

Target users:

- Data engineers
- Data scientists
- IT professionals
- Companies looking to scale data operations and improve data consistency

How to access:

Lume AI is available as a web app and API, providing multiple access points for users. It is not open source, ensuring proprietary technology and security measures are maintained.

  • Supported ecosystems
    Unknown
  • What does it do?
    Data Mapping, Data Integration, Data Normalization, Data Pipeline Management, Data Transformation
  • Who is it good for?
    Data Scientists, IT Professionals, Business Intelligence Analysts, Data Engineers, Data-Driven Enterprises

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