Data-Driven Modelling and Predictive Analytics in Business and Finance: Concepts, Designs, Technologies,...

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Alex Khang Rashmi Gujrati

Data-Driven Modelling and Predictive Analytics in Business and Finance

Concepts, Designs, Technologies, and Applications

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

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English

Auerbach
24 July 2024

Business mathematics & systems; Databases; Artificial intelligence

Series: Advances in Computational Collective Intelligence

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.

Edited by: Alex Khang, Rashmi Gujrati, Hayri Uygun, R. K. Tailor, Sanjaya Gaur
Imprint: Auerbach
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 820g
ISBN: 9781032600628
ISBN 10: 1032600624
Series: Advances in Computational Collective Intelligence
Pages: 423
Publication Date: 24 July 2024
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

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.