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

Book Details

Format Hardback or Cased Book
ISBN-10 1032601914
ISBN-13 9781032601915
Publisher Taylor & Francis Ltd
Imprint Auerbach
Country of Manufacture GB
Country of Publication GB
Publication Date Jul 24th, 2024
Print length 423 Pages
Weight 453 grams
Ksh 39,600.00
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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.

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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