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Data-Driven Modelling and Predictive Analytics in Business and Finance

€272.80
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advanced predictive analytics techniques
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B01=Alex Khang
B01=Hayri Uygun
B01=R. K. Tailor
B01=Rashmi Gujrati
B01=Sanjaya Gaur
blockchain applications finance
business intelligence systems
Category1=Non-Fiction
Category=KJQ
Category=UN
Category=UYQ
cloud data security
COP=United Kingdom
deep learning
Delivery_Delivery within 10-20 working days
digital payments innovation
eq_bestseller
eq_business-finance-law
eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
explainable artificial intelligence
financial analytics
financial inclusion strategies
fintech
Language_English
machine learning
PA=Available
Price_€100 and above
PS=Active
risk analytics
softlaunch

Product details

  • ISBN 9781032601915
  • Weight: 980g
  • Dimensions: 156 x 234mm
  • Publication Date: 24 Jul 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
  • Language: English
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Description

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.
About

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.