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