SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Using AI Technology to Enhance Data‐Driven Decision‐Making in the Financial Sector
15 references·0 citing·55 second hop
Using AI Technology to Enhance Data‐Driven Decision‐Making in the Financial Sector (2024)Using AI Technology to Enhance Data‐Drive…Managing Consumers’ Adoption of Artificial Intelligence-Based Financial Robo-Advisory Services: A Moderated Mediation Model (2023)Managing Consumers’ Adoption …Implementation of Artificial Intelligence for Financial Process Innovation of Commercial Banks (2023)Implementation of Artificial …Banking 4.0: Artificial Intelligence (AI) in Banking Industry & Consumer’s Perspective (2023)Banking 4.0: Artificial Intel…Artificial Intelligence risk measurement (2023)Artificial Intelligence risk …Artificial intelligence and deep learning: considerations for financial institutions for compliance with the regulatory burden in the United Kingdom (2023)Artificial intelligence and d…Deep learning in the stock market—a systematic survey of practice, backtesting, and applications (2022)Deep learning in the stock ma…Big data, artificial intelligence and machine learning: A transformative symbiosis in favour of financial technology (2022)Big data, artificial intellig…Artificial intelligence and bank credit analysis: A review (2022)Artificial intelligence and b…Universal features of price formation in financial markets: perspectives from deep learning (2021)Universal features of price f…Enterprise Financial Leverage and Risk Assessment Based on Mobile Payment under Artificial Intelligence (2021)Enterprise Financial Leverage…Challenges of Financial Risk Management: AI Applications (2021)Challenges of Financial Risk …FINANCE AND ARTIFICIAL INTELLIGENCE: THE FIFTH INDUSTRIAL REVOLUTION AND ITS IMPACT ON THE FINANCIAL SECTOR (2020)FINANCE AND ARTIFICIAL INTELL…AI in Financial Sector – A Driver to Financial Literacy (2019)AI in Financial Sector – A Dr…Fintech (2018)FintechArtificial Intelligence in Financial Markets (2016)Artificial Intelligence in Fi…Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Municipal credit rating modelling by neural networks (2010)Comparing the learning effectiveness of BP, ELM, I-ELM, and SVM for corporate credit ratings (2013)Credit risk management of scientific and technological enterprises based on text mining (2020)Using Data Mining Methods To Solve Classification Problems in Financial-Banking Institutions (2020)Data science and AI in FinTech: An overview (2021)Intraday periodicity and volatility persistence in financial markets (1997)Empirical properties of asset returns: stylized facts and statistical issues (2001)Empirical Market Microstructure (2007)Deep learning for financial applications : A survey (2020)Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis (2021)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)Consumer credit-risk models via machine-learning algorithms (2010)Deep Learning for Finance: Deep Portfolios (2016)Integration of AI and IoT into Corporate Social Responsibility Strategies for Financial Risk Management and Sustainable Development (2024)Revolutionizing Risk Management AI and ML Innovations in Financial Stability and Fraud Detection (2024)The Impact of Artificial Intelligence (AI) on Financial Management (2024)I.—COMPUTING MACHINERY AND INTELLIGENCE (1950)Big Data: New Tricks for Econometrics (2014)Predictably Unequal? The Effects of Machine Learning on Credit Markets (2021)Can artificial intelligence improve enterprise environmental performance: Evidence from China (2024)Leveraging predictive analytics for strategic decision-making: Enhancing business performance through data-driven insights (2024)Digital Entrepreneurship: Toward a Digital Technology Perspective of Entrepreneurship (2016)The Race Between Machine and Man: Implications of Technology for Growth, Factor Shares and Employment (2016)Empirical Asset Pricing via Machine Learning (2020)An explainable deep learning approach for stock market trend prediction (2024)BIG DATA ANALYTICS: A REVIEW OF ITS TRANSFORMATIVE ROLE IN MODERN BUSINESS INTELLIGENCE (2024)Financial data modeling: an analysis of factors influencing big data analytics-driven financial decision quality (2024)A Random Walk Down Wall Street (1973)On the use of cross-validation for time series predictor evaluation (2012)Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)Development of a Robust Stock Market Prediction Mechanism based on Enhanced Comprehensive Learning Principles (2023)The Artificial Intelligence Revolution in Digital Finance in Saudi Arabia: A Comprehensive Review and Proposed Framework (2023)Deep learning for financial forecasting: A review of recent trends (2025)Predicting dishonest actions using the theory of planned behavior (1991)The theory of planned behavior (1991)Predicting e-services adoption: a perceived risk facets perspective (2003)Consumer Trust in AI Algorithms Used in E-Commerce: A Case Study of College Students at a Romanian Public University (2023)Artificial intelligence features and expectation confirmation theory in digital banking apps: Gen Y and Z perspective (2024)Continuous intention usage of artificial intelligence enabled digital banks: a review of expectation confirmation model (2024)17. A Value for n-Person Games (1953)Comparing Predictive Accuracy (1995)Coherent Measures of Risk (1999)A Rank Graduation Box for SAFE AI (2024)Ethical approaches in designing autonomous and intelligent systems: a comprehensive survey towards responsible development (2024)Evaluating Trustworthiness in AI: Risks, Metrics, and Applications Across Industries (2025)Determining Sample Size for Research Activities (1970)The impact of supply chain management practices on competitive advantage and organizational performance (2004)Can direct environmental regulation promote green technology innovation in heavily polluting industries? Evidence from Chinese listed companies (2020)An empirical study on the use of artificial intelligence in the banking sector of Indonesia by extending the TAM model and the moderating effect of perceived trust (2024)ETHICAL IMPLICATIONS OF AI IN FINANCIAL DECISION – MAKING: A REVIEW WITH REAL WORLD APPLICATIONS (2024)Machine learning in financial forecasting: A U.S. review: Exploring the advancements, challenges, and implications of AI-driven predictions in financial markets (2024)Exploring biometric identification in FinTech applications based on the modified TAM (2021)Applying attention-based BiLSTM and technical indicators in the design and performance analysis of stock trading strategies (2022)Decoding the trinity of Fintech, digitalization and financial services: An integrated bibliometric analysis and thematic literature review approach (2022)
this work references cited by second hop

References

  • 2022Big data, artificial intelligence and machine learning: A transformative symbiosis in favour of financial technology184 cited
  • 2023Artificial Intelligence risk measurement176 cited
  • 2022Artificial intelligence and bank credit analysis: A review169 cited
  • 2022Deep learning in the stock market—a systematic survey of practice, backtesting, and applications139 cited
  • 2021Universal features of price formation in financial markets: perspectives from deep learning134 cited
  • 2023Banking 4.0: Artificial Intelligence (AI) in Banking Industry & Consumer’s Perspective125 cited
  • 2018Fintech74 cited
  • 2023Implementation of Artificial Intelligence for Financial Process Innovation of Commercial Banks65 cited
  • 2021Challenges of Financial Risk Management: AI Applications61 cited
  • 2016Artificial Intelligence in Financial Markets51 cited
  • 2020FINANCE AND ARTIFICIAL INTELLIGENCE: THE FIFTH INDUSTRIAL REVOLUTION AND ITS IMPACT ON THE FINANCIAL SECTOR50 cited
  • 2023Artificial intelligence and deep learning: considerations for financial institutions for compliance with the regulatory burden in the United Kingdom36 cited
  • 2019AI in Financial Sector – A Driver to Financial Literacy21 cited
  • 2021Enterprise Financial Leverage and Risk Assessment Based on Mobile Payment under Artificial Intelligence

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

19 cited
  • 2023Managing Consumers’ Adoption of Artificial Intelligence-Based Financial Robo-Advisory Services: A Moderated Mediation Model18 cited
  • Cited by

    No citing works inside the corpus for this window.