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

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

出版社:Auerbach Publications
出版日期:2024-07-24
語言:英文   規格:平裝 / 528頁 / 普通級/ 初版
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圖書名稱:Data-Driven Modelling and Predictive Analytics in Business and Finance: Concepts, Designs, Technologies, and Applications

內容簡介

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.

 

作者簡介

An AI and data scientist, Dr. Alex Khang has been a professor of information technology at universities of science and technology in India, Vietnam, and United States.

Dr. Rashmi Gujrati is a professor, campus director, and Dean of International Affairs at Kamal Gandhi Memorial Ayurvedic College, India.

Dr. Hayri Uygun holds a doctoral degree from Recep Tayyip Erdogan University, Institute of Social Sciences, Business Administration, Turkey.

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

Dr. Sanjaya Singh Gaur is a professor and clinical professor of marketing at the School of Professional Studies, New York University.

 

詳細資料

  • ISBN:9781032600628
  • 規格:平裝 / 528頁 / 普通級 / 初版
  • 出版地:美國
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