State, Regions and Strategic Governance in Europe and India: Land Tokenisation and AI Stack in Finance
India's UPI digital public infrastructure processes 14 billion transactions monthly.
AI in finance Reports & Market Data (2026)
314 documents
Fraud-Preserving Dual-Horizon Temporal Heterogeneous Graph Contrastive Learning for Credit Card Fraud Detection
On a 30,000-event synthetic stream with a 2.40% overall fraud rate, the proposed dual-horizon FPAA model achieves an average precision of 0.427 ± 0.038 across three training seeds.
Artificial Intelligence in the Financial Sector of the Global Economy: Implementation Directions and Financial Stability Risks
According to international surveys by the Bank for International Settlements, about 70% of financial sector companies use AI for cash flow forecasting and risk assessment.
Artificial Intelligence as a Catalyst for Change in Accounting and Finance: Exploring Applications, Opportunities and Challenges
Sanz Martin et al. (2026) synthesised 256 articles to highlight transparency, ethics, security, and skills in AI accounting research.
An Analytical Study of UPI Fraud Detection in Online Transactions in India
The CBI identified more than 8.5 lakh mule accounts used in cyber fraud.
Artificial Intelligence and Cyber Fraud Prevention in Digital Banking: A Comparative Legal Analysis of India, the United Kingdom and the United States
Machine-learning algorithms and behavioural analytics enable financial institutions to detect digital banking fraud at scale beyond conventional rule-based systems.
2026 U.S. Commercial Banking AI Search Visibility Study: Measuring Total Brand Omission Across Megabanks and Super-Regional Banks on ChatGPT, Gemini, Perplexity, and Claude
Super-Regional banks recorded a 0.0% visibility rate across all 192 evaluations for pure rate-driven retail savings, money market, and CD queries.
A Scalable MLOps Framework for Intelligent Fraud Detection and Identification in Financial Transactions
The study develops a scalable MLOps framework evaluated on 100,000 transactions sampled from the Credit Card Transactions Fraud Detection Dataset.
Implementation of Machine Learning for Waqif Honesty Detection in Blockchain-Based Digital Waqf Systems
The study integrated the Ethereum Fraud Detection Dataset containing 9,841 transactions and 51 attributes with digital waqf system behavioral data.
An Empirical Study on the Use of Generative AI for Financial Decision-Making Among Corporate Employees in Bengaluru
The empirical study surveyed 256 corporate employees in Bengaluru to examine how trust in generative AI shapes financial decision-making.
An Interaction-Aware Decision Framework for FDIC-Assisted Distressed Bank Acquisitions: Empirical Evidence from the FDIC Failed-Bank Panel and the SVB-First Citizens Case
The study evaluates distressed bank acquisition decisions across 55 FDIC-assisted acquisitions conducted between 2008 and 2024 by U.S.-listed acquiring institutions.
Intelligent Financial Fraud Detection Using Machine Learning Techniques
The proposed Extreme Gradient Boosting (XGBoost) model achieved a highest accuracy of 97.2% in differentiating legitimate and suspicious banking transactions.
AgriVerse: An AI-Driven Agri-FinTech Decision Intelligence Platform
Smallholders cultivating less than 2 hectares make up the majority of the rural agricultural workforce in India.
A Non-Compensatory Multimetric Framework for Technology Assessment in Regulated Environments
The Non-Compensatory Multimetric Framework (NCMF) is validated on 2 real technology initiatives of a leading insurance group [p.1].
Optimization of Dynamic Crypto Portfolios via Deep Reinforcement Learning Under Transaction Costs
The DRL-PPO strategy generated an annualized return of 37.22% under a 0.1% transaction cost constraint.
The Siege Curve: How Disruptive Technologies Are Really Adopted
Gartner forecast generative AI spending of $644 billion for 2025, even as OpenAI reported 800 million weekly ChatGPT users in October 2025.
DL-RL: Dual-Layer Graph Neural Networks with Curriculum Reinforcement Learning for Financial Fraud Detection
Financial fraud imposes estimated annual global losses exceeding $5.1 trillion, while digital payment fraud grows at over 30% per year.
UPI Fraud Shield: Real-Time Explainable Financial Fraud Detection and Proactive Early Warning Using Graph Neural Networks
UPI Fraud Shield is a prototype designed to monitor digital payment fraud in real time using tabular learning, graph neural networks, explainable AI, and an early-warning layer.
Using Artificial Intelligence to Predict Financial and Administrative Risks: An Applied Study at the International Development Bank for Investment and Finance (2015–2024)
The study evaluates the impact of deploying artificial intelligence techniques to predict financial and administrative risks at the International Development Bank for Investment and Finance over the period 2015–2024.
Deep-π*: A Neural Network Estimate of Trend Inflation
Deep-π* models trend inflation by mapping 122 macroeconomic indicators through neural networks into trend innovations, eliminating latent random-walk shocks and enabling exact Shapley attribution.
Verifiably Autonomous: Formal Verification of Autonomous AI Agent Decision Chains in Zero Trust Financial Risk and Fraud Environments
Fin-HVA mathematically certifies autonomous agent decisions, eliminating safety violations (0.0% Violation Rate) with task success rates above >94% and step latency below <1.3s.
From Emotional Impulse to Recurring Revenue: Consumer Psychology, Unit Economics, and VC Investment Evaluation of AI Companion Hardware for Gen Z
Generation Z (born 1995–2010) represents the primary target demographic for early-stage AI companion hardware startups.
Anti-Money Laundering Tracker Using Graph-AI
The Anti-Money Laundering Tracker models transaction networks using the IBM AMLSim synthetic dataset, which includes approximately 9,945 account records and 68,289 transactions.
Powering Development? Chinese Energy Investment, Artificial Intelligence, and Local Electrification in Africa
In 2023, roughly 666 million people lived without access to electricity, with 85 percent of them located in Sub-Saharan Africa.
The Impact of Artificial Intelligence on Financial Performance in Saudi Fintech Firms: The Mediating Role of Entrepreneurial Orientation - A Path Analysis Approach
The study population comprises 96 fintech companies licensed in Saudi Arabia by the Saudi Arabian Monetary Authority.
Regulatory Compliance and Financial Regulation Challenges in Cross-Border Financial Data Flows Under AI Governance
The conceptual study evaluates regulatory compliance and financial regulation issues in cross-border financial data flows, published in Volume 10, Number 10 of the journal.
A Deep Learning Ensemble With Data Resampling For Credit Card Fraud Detection
The proposed deep learning ensemble combined with the SMOTE-ENN method achieved a sensitivity of 1.000 and a specificity of 0.997.
From Brokers to Apps: A Bibliometric and Thematic Review of Retail Investor Adoption and Satisfaction with Online Investment Platforms in India
As of December 2025, India has approximately 21.6 crore demat accounts, with 17.3 crore held at CDSL and 4.3 crore at NSDL.
Hybrid AI Model for Online Payment Fraud Detection Using Machine Learning
The proposed hybrid AI system was trained and evaluated on a transaction dataset containing more than 6 million records with transaction time steps ranging from 0 to 743.
An Introduction to Artificial Intelligence Applications in Mutual Fund Management
Mutual funds collect capital from multiple investors to purchase pooled baskets of stocks, bonds, and monetary assets.