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Coded Leadership: Developing Scalable Management in an AI-induced Quantum World will assist researchers and industry experts working towards improvising their processes and developing and deploying strategies in an AI-induced world of quantum computing. The book introduces the necessary background to understand the challenges in today’s organizational leadership and how artificial intelligence enables learning to be viewed from a probabilistic framework.
Key Features
Introduction to Quantum Natural Language Processing. Overview of Leadership and AI. The Age of Quantum Superiority. Challenges to Today’s Leadership. AI-induced Strategic Implementation and Organizational Performance.This book serves as a reference for researchers that need to know how AI and quantum can assist in leadership and organizational performance. The book will also be helpful for students that want to learn more about AI and quantum computing in various business applications.
873 kr
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Coded Leadership: Developing Scalable Management in an AI-induced Quantum World will assist researchers and industry experts working towards improvising their processes and developing and deploying strategies in an AI-induced world of quantum computing. The book introduces the necessary background to understand the challenges in today’s organizational leadership and how artificial intelligence enables learning to be viewed from a probabilistic framework.
Key Features
Introduction to Quantum Natural Language Processing. Overview of Leadership and AI. The Age of Quantum Superiority. Challenges to Today’s Leadership. AI-induced Strategic Implementation and Organizational Performance.This book serves as a reference for researchers that need to know how AI and quantum can assist in leadership and organizational performance. The book will also be helpful for students that want to learn more about AI and quantum computing in various business applications.
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In providing an in-depth exploration of cutting-edge technologies and how they are used to support data-driven marketing strategies and empower organizations to make the right decisions, Predictive Analytics and Generative AI for Data-Driven Marketing Strategies includes real-world case studies and examples from diverse marketing domains. This book demonstrates how predictive analytics and generative AI have been successfully applied to solve marketing challenges and drive tangible results. This book showcases emerging trends in predictive analytics and generative AI for marketing, and their potential impact on the future of data-driven marketing. This book is meant for professionals and scholars to gather the skills and resources to use predictive analytics and generative AI effectively for marketing strategies.
This book:
• Examines the different predictive analytics models and algorithms, such as regression analysis, decision trees, and neural networks, and demonstrates how they may be utilized to get insightful conclusions from marketing data.
• Includes generative AI techniques, such as generative adversarial networks (GANs) and variational autoencoders (VAEs), showcasing how these techniques can generate synthetic data for marketing insights and decision-making.
• Highlights the importance of data-driven marketing choices and illustrates how generative AI and predictive analytics may be quite useful in this context.
• Integrates the principles of data science with marketing concepts, offering a cohesive understanding of how predictive analytics and generative AI can power data-driven marketing decisions.
• Presents the recent advances in predictive analytics and generative AI and discusses how they can affect the area of data-driven marketing.
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In providing an in-depth exploration of cutting-edge technologies and how they are used to support data-driven marketing strategies and empower organizations to make the right decisions, Predictive Analytics and Generative AI for Data-Driven Marketing Strategies includes real-world case studies and examples from diverse marketing domains. This book demonstrates how predictive analytics and generative AI have been successfully applied to solve marketing challenges and drive tangible results. This book showcases emerging trends in predictive analytics and generative AI for marketing, and their potential impact on the future of data-driven marketing. This book is meant for professionals and scholars to gather the skills and resources to use predictive analytics and generative AI effectively for marketing strategies.
This book:
• Examines the different predictive analytics models and algorithms, such as regression analysis, decision trees, and neural networks, and demonstrates how they may be utilized to get insightful conclusions from marketing data.
• Includes generative AI techniques, such as generative adversarial networks (GANs) and variational autoencoders (VAEs), showcasing how these techniques can generate synthetic data for marketing insights and decision-making.
• Highlights the importance of data-driven marketing choices and illustrates how generative AI and predictive analytics may be quite useful in this context.
• Integrates the principles of data science with marketing concepts, offering a cohesive understanding of how predictive analytics and generative AI can power data-driven marketing decisions.
• Presents the recent advances in predictive analytics and generative AI and discusses how they can affect the area of data-driven marketing.
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This book discusses the financial impact of Artificial Intelligence (AI) on the finance and business sectors. By providing readers with comprehensive insights, real-world case studies, and expert discussions, it delves into various applications of AI in finance, including NLP for financial document analysis.
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This book discusses the financial impact of Artificial Intelligence (AI) on the finance and business sectors. By providing readers with comprehensive insights, real-world case studies, and expert discussions, it delves into various applications of AI in finance, including NLP for financial document analysis.
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