
Data-Driven Modelling and Predictive Analytics in Business and Finance by Alex Khang
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.
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Computational Intelligence for Analysis of Trends in Industry 4.0 and 5.0
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Emotional Intelligence in the Digital Era
- Artificial Intelligence Frontiers
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Artificial Intelligence for Renewable Energy Systems
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Innovations and Applications of Technology in Language Education
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Smarter Healthcare Through Generative Intelligence
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AI and ML in IoT Security
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Metaverse and Blockchain
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AI for Environmental Innovation and Stewardship
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Artificial Intelligence in Action
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IoT Cybersecurity
- Parallel and High-Performance Computing in Artificial Intelligence
- Deep Learning and Blockchain Technology for Smart and Sustainable Cities
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Patient-Centric 6G
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Deep Learning Concepts in Operations Research
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Generative AI Tools
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Computational Intelligence in Industry 4.0 and 5.0 Applications
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Deep Learning Applications in Operations Research
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Data-Driven IoT Ecosystems
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Industry 5.0
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Decoding Global Marketing Decisions
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AI and IoT Technology and Applications for Smart Healthcare Systems
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Explainable Artificial Intelligence in Medical Imaging
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Technologies for Sustainable Global Higher Education
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Artificial Intelligence Techniques in Power Systems Operations and Analysis
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Edge Computational Intelligence for AI-Enabled IoT Systems
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Social Media and Crowdsourcing
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Augmented Reality and Sustainability
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Artificial Intelligence, Geographic Information Systems, and Multi-Criteria Decision-Making for Improving Sustainable Development
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Leveraging Artificial Intelligence in Cloud, Edge, Fog and Mobile Computing
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Intelligent Business Analytics
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Using AI to Develop Sustainability Strategies for a Changing Global Economy
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Metaverse and Blockchain Use Cases and Applications
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Advanced AI and Data Science Applications
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.
| SKU | Unavailable |
| ISBN 13 | 9781032601915 |
| ISBN 10 | 1032601914 |
| Title | Data-Driven Modelling and Predictive Analytics in Business and Finance |
| Author | Alex Khang |
| Series | Advances In Computational Collective Intelligence |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Auerbach Publications |
| Year published | 2024-07-24 |
| Number of pages | 423 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |






























