Building Business Models with Machine Learning by Ambika N
Organizations worldwide grapple with the complexities of incorporating machine learning into their business models while ensuring sustainability. Decision-makers, data scientists, and business executives face the challenge of navigating this terrain to drive innovation and maintain a competitive edge. Building Business Models with Machine Learning provides a comprehensive solution, offering practical insights and strategies for integrating machine learning into organizational plans. By bridging the gap between theory and practice, we empower readers to leverage machine learning effectively, enabling them to develop resilient and flexible business models. The book serves as a vital resource for those seeking to understand the nuances of sustainable management in a volatile, uncertain, complex, and ambiguous (VUCA) world. It addresses key challenges such as irrational decision-making and the need for adaptive systems in modern business environments. Through a combination of theoretical frameworks and empirical research findings, our book equips readers with the knowledge and tools needed to navigate these challenges successfully. Whether you are a seasoned professional, a postgraduate MBA program, or a managerial sciences student, this book offers invaluable insights that will significantly enhance your understanding and application of machine learning in business models. Building Business Models with Machine Learning focuses on problem-solving and practical application. It provides a roadmap for incorporating machine learning into organizational strategies and covers a wide range of topics, including sustainability in business models, machine learning in healthcare, and online fraud detection. By offering a thorough manual for integrating learning into organizational plans, this book enables readers to develop data-driven, adaptable business models essential for success in today's dynamic business landscape.-
Advancements in Fuzzy Reliability Theory
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Cloud Computing Applications and Techniques for E-Commerce
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Quantum Computing and Cryptography in Future Computers
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Design, Applications, and Maintenance of Cyber-Physical Systems
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MATLAB With Applications in Mechanics and Tribology
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Software Engineering for Modern Web Applications: Requirement, Design, and Implementation
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Handbook of Research on Modeling, Analysis, and Control of Complex Systems
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Grammatical and Syntactical Approaches in Architecture
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Handbook of Research on Software Quality Innovation in Interactive Systems
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Methodologies and Applications of Computational Statistics for Machine Intelligence
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Soft Computing Methods for System Dependability
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Tools and Techniques for Software Development in Large Organizations
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Deep Learning Applications for Cyber-Physical Systems
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Artificial Intelligence Paradigms for Smart Cyber-Physical Systems
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Impacts and Challenges of Cloud Business Intelligence
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Handbook of Research on Smarter and Secure Industrial Applications Using AI, IoT, and Blockchain Technology
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Handbook of Research on Methodologies and Applications of Supercomputing
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Pioneering Approaches in Data Management
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Harnessing High-Performance Computing and AI for Environmental Sustainability
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Metaheuristic and Machine Learning Optimization Strategies for Complex Systems
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Social Reflections of Human-Computer Interaction in Education, Management, and Economics
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Multi-Criteria Decision Making Models and Techniques: Neutrosophic Approaches
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Multi-Criteria Decision Making Models and Techniques
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Recent Trends and Future Direction for Data Analytics
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Revolutionizing Curricula Through Computational Thinking, Logic, and Problem Solving
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Metaheuristics Algorithm and Optimization of Engineering and Complex Systems
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Granular Computing and Big Data Advancements
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Technological Advancements in Data Processing for Next Generation Intelligent Systems
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Coding Dimensions and the Power of Finite Element, Volume, and Difference Methods
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Optimization Tools and Techniques for Enhanced Computational Efficiency
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Handbook of Research on Frameworks for Blockchain Standards, Tools, Testbeds, and Platforms
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Frameworks for Blockchain Standards, Tools, Testbeds, and Platforms
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Integrating Machine Learning Into HPC-Based Simulations and Analytics
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Enhancing Data-Driven Electronics Through IoT
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Balancing Agile and Disciplined Engineering and Management Approaches for IT Services and Software Products
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Formal and Adaptive Methods for Automation of Parallel Programs Construction
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Advancements in Model-Driven Architecture in Software Engineering
| SKU | Unavailable |
| ISBN 13 | 9798369338841 |
| Title | Building Business Models with Machine Learning |
| Author | Ambika N |
| Series | Advances In Systems Analysis Software Engineering And High Performance Computing Ser |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | IGI Global |
| Year published | 2024-11-26 |
| Number of pages | 330 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |