Data-Driven Modelling and Predictive Analytics in Business and Finance

Concepts, Designs, Technologies, and Applications

Alex Khang, Rashmi Gujrati, Hayri Uygun, R. K. Tailor, Sanjaya Gaur, Alex Khang, Rashmi Gujrati, Hayri Uygun, R. K. Tailor, Sanjaya Gaur

• Publisher: Auerbach Publications
• Year: 2024
• ISBN:
  9781040036532
• Edition: 1
• Topic: Computer Science
• Subtopic: Artificial Intelligence (AI) & Semantics
• Index: Computer Science

Data-driven and AI-aided applications are next-generation technologies that can be used to visualize and realize intelligent transactions in finance, banking, and business. These transactions will be enabled by powerful data-driven solutions, IoT technologies, AI-aided techniques, data analytics, and visualization tools. To implement these solutions, frameworks will be needed to support human control of intelligent computing and modern business systems. The power and consistency of data-driven competencies are a critical challenge, and so is developing explainable AI (XAI) to make data-driven transactions transparent.

Data- Driven Modelling and Predictive Analytics in Business and Finance covers the need for intelligent business solutions and applications. Explaining how business applications use algorithms and models to bring out the desired results, the book covers:

• Data-driven modelling
• Predictive analytics
• Data analytics and visualization tools
• AI-aided applications
• Cybersecurity techniques
• Cloud computing
• IoT-enabled systems for developing smart financial systems

This book was written for business analysts, financial analysts, scholars, researchers, academics, professionals, and students so they may be able to share and contribute new ideas, methodologies, technologies, approaches, models, frameworks, theories, and practices.

Table of contents

• Cover
• Half-Title Page
• Series Page
• Title Page
• Copyright Page
• Table of Contents
• Preface
• Acknowledgments
• About the Editors
• List of Contributors
• 1 Application of Data Technologies and Tools in Business and Finance Sectors
• 2 Data Analytics Tools and Applications for Business and Finance Systems
• 3 Big Data Tools for Business and Finance Sectors in the Era of Metaverse
• 4 Digital Revolution and Innovation in the Banking and Finance Sectors
• 5 Impact of AI and Data in Revolutionizing Microfinance in Developing Countries: Improving Outreach and Efficiency
• 6 Digital Payments: The Growth Engine of the Digital Economy
• 7 Machine Learning-Based Functionalities for Business Intelligence and Data Analytics Tools
• 8 A Study of a Domain-Specific Approach in Business Using Big Data Analytics and Visualization
• 9 Cloud-Based Data Management for Behavior Analytics in Business and Finance Sectors
• 10 Theoretical Analysis and Data Modeling of the Influence of Shadow Banking on Systemic Risk
• 11 The Potential of a Fintech-Driven Model in Enabling Financial Inclusion
• 12 Predicting the Impact of Exchange Rate Volatility on Sectoral Indices
• 13 Digital Competency Assessment and Data-Driven Performance Management for Start-Ups
• 14 Blockchain Technologies and Applications for Business and Finance Systems
• 15 Analysing the Reaction for M&A of Rivals in an Emerging Market Economy
• 16 Management Model 6.0 and SWOT Analysis for the Market Share of Product in the Global Market
• 17 Human-Centered and Design-Thinking Approaches for Predictive Analytics
• 18 Co-Integration and Causality between Macroeconomics Variables and Bitcoin
• 19 An Examination of Data Protection and Cyber Frauds in the Financial Sector
• 20 The ChatGPT: Its Influence on the Jobs Market—An Analytical Study
• 21 Cloud Data Security Using Advanced Encryption Standard with Ant Colony Optimization in Business Sector
• 22 Cybersecurity Techniques for Business and Finance Systems
• Index