Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Sistla, Swetha; Sankaran, Mohan; Jooluri, Nagaraju; Fikri, Yahya; Shruthaalaxmi; Devesh, Sonal Title A name given to the resource AI-Augmented FinTech Platforms for Real-Time Credit Risk and Supply Chain Financing in Smart Industries Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived 2026 Innovations in Machine, Engineering, and Digital Conference, IMED 2026; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/IMED68921.2026.11484223" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IMED68921.2026.11484223</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105038347293?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105038347293?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sistla S., FinTech &amp; Ai Solutions Infosys Limited, Richmond, 23060, VA, United States; Sankaran M., Software Engineering PayPal Inc, 94555, CA, United States; Jooluri N., Software Engineering Incode Technologies, 20148, VA, United States; Fikri Y., Abdelmalek Essaadi University, Department of Governance And Performance of Organizations, Tetouan, Morocco; Shruthaalaxmi, Statistics University of Toronto, Department of Public Policy, Toronto, Canada; Devesh S., Christ University (Deemed To Be University), School of Business And Management, Karnataka, Bangalore, 560073, India Description An account of the resource A combination of Artificial Intelligence (AI) and FinTech platforms has transformed the financial services sector, specifically, real-time credit risk evaluation and supply chain financing of smart industries. The conventional models of credit assessment, based on the use of fixed financial information and manual processing, are ineffective in capturing the dynamic nature of the modern-day industrial process. This paper conducts empirical research on AI-enhanced FinTech applications and utilizes machine learning (ML), natural language processing (NLP), and multi-modal industrial data, such as financial data, IoT sensor data, and supply chain data, to enable better predictive models and decision processes. The study compares several models, such as ensemble learning and deep neural networks, to predict credit risk and maximize the financing. Findings show that this is highly improved with AUC scores more than 0.88 and reduction in decision latency up to 70 percent showing quicker more information-oriented and context-sensitive risk management. It offers practical implications in the design of AI-based financial solutions, which will allow making smarter credit decisions and allocating working capital in intelligent industries more effectively, and it also notes that AI can transform industrial FinTech ecosystems. 2026 IEEE. Subject The topic of the resource Artificial Intelligence; Credit Risk; FinTech; Smart Industries; Supply Chain Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833156997-6; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online