IJRTI
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.14

Issue per Year : 12

Volume Published : 11

Issue Published : 118

Article Submitted : 21706

Article Published : 8555

Total Authors : 22501

Total Reviewer : 811

Total Countries : 159

Indexing Partner

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: Exploring Generative AI Capabilities in Oracle Cloud Applications
Authors Name: Sravana Kumar Reddy Yeruva
Download E-Certificate: Download
Author Reg. ID:
IJRTI_209394
Published Paper Id: IJRTI2506223
Published In: Volume 10 Issue 6, June-2025
DOI: https://doi.org/10.56975/ijrti.v10i6.209394
Abstract: Generative Artificial Intelligence (AI) has emerged as a transformative force across modern enterprise ecosystems. Oracle, as a key player in cloud-based business applications, has strategically embedded generative AI capabilities into its Fusion Cloud suite, enabling functionalities such as intelligent summarization, natural language querying, automated report generation, and conversational task completion. This review synthesizes the current landscape of generative AI in Oracle Cloud Applications, examining the architecture, use cases, performance metrics, and implementation challenges. Through comparative analysis, theoretical modeling, and empirical insights, the study identifies the strengths of Oracle’s domain-specific generative models and outlines areas needing further exploration. The paper concludes with a roadmap for enhancing scalability, explainability, and governance of generative AI in cloud-native business applications.
Keywords: Generative AI; Oracle Cloud Applications; Fusion Cloud; Enterprise AI; Large Language Models; Digital Assistant; Prompt Engineering; NLP in Business Applications; Autonomous Database; Low-Code AI
Cite Article: "Exploring Generative AI Capabilities in Oracle Cloud Applications", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.c187-c196, June-2025, Available :http://www.ijrti.org/papers/IJRTI2506223.pdf
Downloads: 000111
ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2506223
Registration ID:209394
Published In: Volume 10 Issue 6, June-2025
DOI (Digital Object Identifier): https://doi.org/10.56975/ijrti.v10i6.209394
Page No: c187-c196
Country: -, -, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2506223
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2506223
Share Article:

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijrti.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

ISSN Details

ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI.ONE
How to Get DOI?

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Join RMS/Earn 300

IJRTI

WhatsApp
Click Here

Indexing Partner