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This book presents insights into how Intelligent Computing and Optimization techniques can be used to attain the goals of Sustainable Development. It provides a comprehensive overview of the latest breakthroughs and recent developments in sustainable, intelligent computing technologies, applications, and optimization techniques across various industries, including business process management, manufacturing, financial sector, agriculture, financial sector, supply chain management, and healthcare. It focuses on computational intelligent techniques and optimization techniques to provide sustainable solutions to many problems.Features:Provides insights into the theory, implementation, and application of computational intelligence techniques in many industriesIncludes industry practitioner perspectives and case studies for a better understanding of sustainable solutionsHighlights the role of intelligent computing and optimization as key technologies in decision-making processes and in providing cutting-edge solutions to real-world problemsAddresses the challenges and limitations of computational approaches in sustainability, such as data availability, model uncertainty, and computational complexity, while also discusses emerging opportunities and future directions in the fieldThis book will be useful for professionals and scholars looking for up-to-date research on cutting-edge perspectives in the field of computational intelligent and optimization techniques in the areas of agriculture, industry, financial sector, business automation, renewable energy, optimization, and smart cities.The Open Access version of this book, available at http://www.taylorfrancis.com, hasbeen made available under a Creative Commons [Attribution-Non Commercial-NoDerivatives (CC BY-NC-ND)] 4.0 license.

This book investigates the transformative impact of AI, ML, data analytics, and IoT on modern business, emphasizing their roles in strategic growth, operational efficiency, and data-driven decision-making. Through real-world case studies, strategic frameworks, and ethical considerations, it offers actionable insights for integrating these technologies. Covering emerging trends and responsible adoption, this book is an essential resource for professionals navigating digital transformation and achieving sustainable success.Explore the application of AI, ML, data analytics, and IoT within business contexts, emphasizing their roles in strategic growth, operational efficiency, and decision-making.Provides methodologies for maximizing ROI, mitigating risks, and fostering innovation.Explores predictive modeling, market segmentation, and business intelligence for competitive advantage.Examines cutting-edge automation technologies that optimize processes and enhance workforce efficiency.Investigates neuro-fuzzy systems in financial forecasting to improve predictive accuracy and decision-making.This book serves as a practical guide for professionals and as a reference for scholars, researchers, and students of computer science and business management.

In the digital age, data has become the cornerstone of effective marketing strategies. Data Engineering for Data-Driven Marketing explores the vital intersection of data engineering and marketing, providing a comprehensive guide to harnessing the power of data for successful and impactful campaigns.Offering a thorough exploration of the symbiotic relationship between data engineering and modern marketing strategies, Data Engineering for Data-Driven Marketing uses a strategic lens to delve into methodologies of collecting, transforming, and storing diverse data sources. With real-world case studies actionable insights, the chapters within navigate the reader through the intricate process of building robust data pipelines, optimizing data quality, and implementing real-time processing techniques, all tailored to elevate marketing campaigns through precision targeting, customer personalization, and predictive modelling.

HR 5.0 Integration: Unleashing the Potential of the Digital Twin Revolution encapsulates the transformation of Human Resources (HR) through Digital Twin technology. The book provides numerous practical strategies and case studies for implementing Digital Twin technology to revolutionize organizational efficiency, agility, and competitiveness in the digital age.Digital Twins, or virtual replicas of physical assets or processes, is a technology which could revolutionize HR practices through real-time monitoring, analysis, and simulation of workforce dynamics, to model employees and their interactions within the organisation. By leveraging data analytics and machine learning, HR 5.0 optimizes talent acquisition, enhances employee engagement, predicts future trends, fosters personalised employee experiences, facilitates skill development, and creates a culture of continuous improvement.Covering the vast array of technological advancements, from ethical concerns such as data privacy, to case studies of organisational success, the book bridges theory and practice to drive HR innovation into the age of 5.0. Various HR functions such as recruitment, onboarding, learning and development, performance management, and workforce planning can all be rationalised by the creation and implementation of Digital Twins in HR, including AI, Internet of Things, data analytics, and privacy considerations.

"Green Ventures: Uniting Sustainability, Finance, and Entrepreneurship" serves as a comprehensive guide for entrepreneurs seeking to build financially sustainable businesses while addressing climate action. This book is an essential resource for entrepreneurs and finance professionals looking to drive meaningful change through sustainable practices. Readers will gain insights into identifying and developing sustainable business opportunities that tackle environmental and social challenges while directly contributing to SDG 13. The book highlights innovative business models such as the circular economy and shared value creation, showcasing how these approaches not only drive climate action but also unlock new growth potential.