IDEAS home Printed from https://ideas.repec.org/a/das/njaigs/v2y2024i1p220-232id154.html
   My bibliography  Save this article

Enhancing Data Integration and Management: The Role of AI and Machine Learning in Modern Data Platforms

Author

Listed:
  • Chandrashekar Althati
  • Manish Tomar
  • Lavanya Shanmugam

Abstract

In the era of big data, the integration and management of vast, heterogeneous datasets pose significant challenges. Modern data platforms are evolving to address these challenges by incorporating advanced AI and machine learning (ML) techniques. This research explores the pivotal role of AI and ML in enhancing data integration and management within contemporary data platforms. It examines how these technologies facilitate seamless data integration, improve data quality, and enable efficient data management processes. The study also highlights the implementation of AI-driven solutions for real-time data processing, automated data cleansing, and intelligent data governance. By leveraging AI and ML, modern data platforms can transform raw data into actionable insights, thereby driving innovation and operational efficiency in various industries.

Suggested Citation

  • Chandrashekar Althati & Manish Tomar & Lavanya Shanmugam, 2024. "Enhancing Data Integration and Management: The Role of AI and Machine Learning in Modern Data Platforms," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 2(1), pages 220-232.
  • Handle: RePEc:das:njaigs:v:2:y:2024:i:1:p:220-232:id:154
    as

    Download full text from publisher

    File URL: https://newjaigs.com/index.php/JAIGS/article/view/154
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:das:njaigs:v:2:y:2024:i:1:p:220-232:id:154. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Open Knowledge (email available below). General contact details of provider: https://newjaigs.com/index.php/JAIGS/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.