IDEAS home Printed from https://ideas.repec.org/a/das/njaigs/v8y2025i1p66-79id344.html
   My bibliography  Save this article

Integrating Artificial Intelligence in Enterprise Architecture: Enhancing Cloud-Based Salesforce Solutions for Sales and Marketing Optimization

Author

Listed:
  • Karthi Gopalaswamy

Abstract

The integration of Artificial Intelligence (AI) in Enterprise Architecture (EA) is transforming cloud-based Salesforce solutions, driving significant advancements in sales and marketing optimization. AI-powered tools, such as predictive analytics, natural language processing, and machine learning, enhance decision-making, customer relationship management, and sales forecasting. This paper explores how AI-driven capabilities improve enterprise-wide data management, personalization, and automation within Salesforce platforms. By leveraging AI, businesses can streamline workflows, enhance customer engagement, and optimize marketing strategies. The study also discusses the challenges and best practices in integrating AI into EA, ensuring scalability, security, and compliance. The findings suggest that AI-enriched Salesforce solutions enable enterprises to gain a competitive edge by fostering efficiency and innovation in sales and marketing operations.

Suggested Citation

  • Karthi Gopalaswamy, 2025. "Integrating Artificial Intelligence in Enterprise Architecture: Enhancing Cloud-Based Salesforce Solutions for Sales and Marketing Optimization," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 8(1), pages 66-79.
    • Handle: RePEc:das:njaigs:v:8:y:2025:i:1:p:66-79:id:344
    as

    Download full text from publisher

    File URL: https://newjaigs.com/index.php/JAIGS/article/view/344
    Download Restriction: no
    ---><---

    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:8:y:2025:i:1:p:66-79:id:344. 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.