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Data-Driven Modelling and Predictive Analytics in Business and Finance

Alex Khang
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      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 modellingPredictive analyticsData analytics and visualization toolsAI-aided applicationsCybersecurity techniquesCloud computingIoT-enabled systems for developing smart financial systemsThis 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.
      Format: CONTRIBUTORS: Alex Khang EAN: 9781032600628 COUNTRY: United Kingdom PAGES: WEIGHT: HEIGHT: 234 cm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2024-07-24 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / General, COMPUTERS / Data Science / Data Analytics WIDTH: 156 cm SPINE:

      Book Themes:

      Economics, Finance and accounting, Electrical engineering, Electronics engineering, Environmental science, engineering and technology, Databases, Artificial intelligence

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      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.
      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 modellingPredictive analyticsData analytics and visualization toolsAI-aided applicationsCybersecurity techniquesCloud computingIoT-enabled systems for developing smart financial systemsThis 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.
      Format: CONTRIBUTORS: Alex Khang EAN: 9781032600628 COUNTRY: United Kingdom PAGES: WEIGHT: HEIGHT: 234 cm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2024-07-24 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / General, COMPUTERS / Data Science / Data Analytics WIDTH: 156 cm SPINE:

      Book Themes:

      Economics, Finance and accounting, Electrical engineering, Electronics engineering, Environmental science, engineering and technology, Databases, Artificial intelligence

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      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.

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