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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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| Paper Title: | Empowering Business Users Through No-code AI Platforms Driving Innovation and Unlocking Potential |
| Authors Name: | Ullas Das |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_205066
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| Published Paper Id: | IJRTI2506210 |
| Published In: | Volume 10 Issue 6, June-2025 |
| DOI: | https://doi.org/10.56975/ijrti.v10i6.205066 |
| Abstract: | The growth of no-code AI platforms signifies a major evolution in the historical scope of artificial intelligence (AI) development. It has provided a unique opportunity for business users, lacking in technical expertise, who require machine-enabled solutions to create and deploy the possibilities presented by AI. This review establishes a theoretical framework for no-code AI platforms where we interpret how they enable opportunity for business users to innovate by removing barriers to traditional AI development. This article compares the predictive performance of the model we propose in this review against representative baseline models. We provide evidence that the proposed model has the potential to provide flexibility and user customization, which improves the prospect of integrating available data. Finally we present implications for practitioners, policy and future research related to the developments outlined in this review, as we highlight the potential value derived through increased user innovation, improved organizational efficiency or the addition of AI capability in a variety of user types across many industries. We conclude with suggestions for future research focusing particularly on issues of evaluation of performance, user experience and impact assessment, particularly in developing markets such as India. This review highlights how no-code AI platforms have the potential to be game-changers to improve development of AI applications to benefit users everywhere to increase progress and build resilience. |
| Keywords: | No-Code AI, Business Users, Innovation, Predictive Performance |
| Cite Article: | "Empowering Business Users Through No-code AI Platforms Driving Innovation and Unlocking Potential", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.c71-c78, June-2025, Available :http://www.ijrti.org/papers/IJRTI2506210.pdf |
| Downloads: | 000478 |
| 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: IJRTI2506210
Registration ID:205066
Published In: Volume 10 Issue 6, June-2025
DOI (Digital Object Identifier): https://doi.org/10.56975/ijrti.v10i6.205066
Page No: c71-c78 Country: Chennai, Tamil Nadu, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2506210 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2506210 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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