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Data-Driven Modelling and Predictive Analytics in Business and Finance: Concepts, Designs, Technologies, and Applications [Pehme köide]

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  • Formaat: Paperback / softback, 423 pages, kõrgus x laius: 234x156 mm, kaal: 820 g, 67 Tables, black and white; 75 Line drawings, color; 23 Line drawings, black and white; 98 Illustrations, black and white
  • Sari: Advances in Computational Collective Intelligence
  • Ilmumisaeg: 24-Jul-2024
  • Kirjastus: Auerbach
  • ISBN-10: 1032600624
  • ISBN-13: 9781032600628
Teised raamatud teemal:
Data-Driven Modelling and Predictive Analytics in Business and Finance: Concepts, Designs, Technologies, and ApplicationsSuurem pilt
  • Formaat: Paperback / softback, 423 pages, kõrgus x laius: 234x156 mm, kaal: 820 g, 67 Tables, black and white; 75 Line drawings, color; 23 Line drawings, black and white; 98 Illustrations, black and white
  • Sari: Advances in Computational Collective Intelligence
  • Ilmumisaeg: 24-Jul-2024
  • Kirjastus: Auerbach
  • ISBN-10: 1032600624
  • ISBN-13: 9781032600628
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781032600628.html
Märksõnad:
"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"--

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.



This book focuses on the opportunities and challenges for data-driven modelling and predictive analytics for business systems. It covers fundamental concepts as well as advanced techniques, technologies, and tools. It discusses technology in the context of innovation, business development, and business management.

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
Development 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 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
Fintech-Driven Model in Enabling Financial Inclusion
12. Predicting 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.
Analyzing the Reaction for M&A of Rivals in Emerging Market Economy
16.
Management Model 6.0 and SWOT Analysis for the Market Share of Product in the
Global Market
17. Human-Centred 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 ChatGPTs Influence on the Job 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
Alex Khang is a Professor of Information Technology, D.Sc. D.Litt., and a AI and Data scientist, AI and Data Science Research Center, Global Research Institute of Technology and Engineering, North Carolina, United States.

Rashmi Gujrati is a Professor, Campus Director, and Dean of International Affairs at Kamal Gandhi Memorial Ayurvedic College, Nawanshahr, India.

Hayri Uygun holds a Ph.D. from Recep Tayyip Erdogan University, Institute of Social Sciences, Business Administration, Rize, Turkey.

R. K. Tailor is an expert in robotic process automation and robotic accounting and a Senior Associate Professor at the Department of Business Administration, Manipal University, Manipal, India.

Sanjaya Singh Gaur is a Clinical Professor of Marketing at the NYU School of Professional Studies in New York University, New York, United States.