Shulph Ink
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
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- More about Data-Driven Modelling and Predictive Analytics in Business and Finance: Concepts, Designs, Technologies, and Applications
Data-driven and AI-aided applications are transforming finance, banking, and business, enabling intelligent transactions with powerful data-driven solutions, IoT technologies, AI-aided techniques, data analytics, and visualization tools. Frameworks are needed to support human control and explainable AI (XAI) to make data-driven transactions transparent. This book covers data-driven modelling, predictive analytics, data analytics and visualization tools, AI-aided applications, cybersecurity techniques, cloud computing, and IoT-enabled systems for developing smart financial systems. It is written for business analysts, financial analysts, scholars, researchers, academics, professionals, and students to share and contribute new ideas, methodologies, technologies, approaches, models, frameworks, theories, and practices.
Format: Paperback / softback
Length: 423 pages
Publication date: 24 July 2024
Publisher: Taylor & Francis Ltd
Data-driven and AI-aided applications are the future of finance, banking, and business, enabling intelligent transactions through powerful data-driven solutions, IoT technologies, AI-aided techniques, data analytics, and visualization tools. To implement these solutions, frameworks are 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 developing explainable AI (XAI) to make data-driven transactions transparent is essential. 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. It covers data-driven modelling, predictive analytics, data analytics and visualization tools, AI-aided applications, cybersecurity techniques, cloud computing, and IoT-enabled systems for developing smart financial systems. This book is written for business analysts, financial analysts, scholars, researchers, academics, professionals, and students to share and contribute new ideas, methodologies, technologies, approaches, models, frameworks, theories, and practices.
Weight: 658g
Dimension: 233 x 156 x 28 (mm)
ISBN-13: 9781032600628
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