Intelligent Supply Chains Ai Driven Transformation In Retail And Manufacturing
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Intelligent Supply Chains Ai Driven Transformation In Retail And Manufacturing
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Author : Goutham Kumar Sheelam
language : en
Publisher: AQUA PUBLICATION
Release Date :
Intelligent Supply Chains Ai Driven Transformation In Retail And Manufacturing written by Goutham Kumar Sheelam and has been published by AQUA PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.
Transforming Retail And Paint Manufacturing Supply Chains Through Agentic Ai Machine Learning And Intelligent Data Infrastructure
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Author : Raviteja Meda
language : en
Publisher: Global Pen Press UK
Release Date :
Transforming Retail And Paint Manufacturing Supply Chains Through Agentic Ai Machine Learning And Intelligent Data Infrastructure written by Raviteja Meda and has been published by Global Pen Press UK this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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Intelligent Retail And Manufacturing Systems Artificial Intelligence Driven Oss Bss Solutions And Infrastructure Innovations
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Author : Shabrinath Motamary
language : en
Publisher: Deep Science Publishing
Release Date : 2025-06-10
Intelligent Retail And Manufacturing Systems Artificial Intelligence Driven Oss Bss Solutions And Infrastructure Innovations written by Shabrinath Motamary and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-10 with Computers categories.
The digital transformation of retail and manufacturing industries is accelerating at an unprecedented pace, driven by advances in Artificial Intelligence (AI), Machine Learning, and Cloud Computing. In this context, the role of Operational Support Systems (OSS) and Business Support Systems (BSS) has become increasingly critical to enabling smart manufacturing, real-time retail analytics, and agile business models. This book presents a comprehensive examination of how intelligent systems are redefining the future of enterprise operations. Focusing on the integration of AI-driven solutions in domains such as predictive billing, customer relationship management (CRM), enterprise resource planning (ERP), and supply chain optimization, this volume offers readers a well-rounded understanding of both foundational concepts and cutting-edge applications. Through a balanced blend of theory and practice, the book explores how Industry 4.0 technologies,such as data governance, business intelligence, and process automation, are reshaping retail and manufacturing infrastructures. Each chapter explore key areas like digital transformation strategies, data management, CRM automation, and intelligent customer lifecycle management, emphasizing the need for scalable and interoperable systems that enhance operational efficiency and customer satisfaction. By integrating insights from both academic research and industry practice, this book serves as a valuable resource for professionals, scholars, and innovators aiming to harness AI for competitive advantage.
E Business Generative Artificial Intelligence And Management Transformation
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Author : Yiliu Paul Tu
language : en
Publisher: Springer Nature
Release Date : 2025-07-09
E Business Generative Artificial Intelligence And Management Transformation written by Yiliu Paul Tu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-09 with Computers categories.
The three-volume set LNBIP 549 - 551 constitutes the refereed proceedings of the 24th Wuhan International Conference on E-Business, WHICEB 2025, which was held in Guangzhou, China, during June 6-8, 2025. The total of 92 papers included in the proceedings was carefully reviewed and selected from 324 submissions. The papers have been organized in topical sections as follows: Part I: Artificial Intelligence and New Ways of Working; Conversational Artificial Intelligence and Information Behavior; Data Analytics and Digital Governance; Data Intelligence and Social Computing on Digital Platforms; Digital Enablement and Digital Governance; Digital Innovation and Social Impact; Part II: Digital Technologies for Sustainable Development; Disruptive Technologies and Digital Transformation; E-business Strategy and Online Marketing; Emerging e-Commerce Initiatives Enables by Advanced Technologies; Engaging Technologies; Part III: Generative AI-enhanced Risk Analytics and Modelling; Healthcare Service and IT Management; Human-AI Integration in Organizations; Next-Gen Technologies and Social Commerce; Privacy and Security in Artificial Intelligence Generated Content; Transformative Digital Innovations: Education, Sports, and Entertainment; and General IS and Digital Business Topics.
The Ai Revolution How Artificial Intelligence Will Reshape Our Lives Careers And Future
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Author : Rick Spair
language : en
Publisher: Rick Spair
Release Date :
The Ai Revolution How Artificial Intelligence Will Reshape Our Lives Careers And Future written by Rick Spair and has been published by Rick Spair this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Welcome to "The AI Revolution: How Artificial Intelligence Will Reshape Our Lives, Careers, and Future," a comprehensive exploration of one of the most transformative technologies of our time. Artificial Intelligence (AI) is not just a buzzword or a distant futuristic concept; it is a reality that is rapidly reshaping every facet of our lives. From the way we communicate, work, and learn to how we address global challenges, AI is at the forefront of innovation and change. As you delve into this book, you will embark on a journey through the history, development, and profound impact of AI. We will explore the foundational concepts that underpin AI technologies, demystify the jargon that often surrounds this field, and provide a clear understanding of how AI works. More importantly, we will examine the real-world applications of AI across various sectors, highlighting the benefits and challenges that come with integrating AI into our daily lives. The narrative will take you through the corridors of healthcare, where AI is revolutionizing diagnostics and treatment; into the financial world, where it is enhancing fraud detection and customer service; and onto the roads, where autonomous vehicles are becoming a reality. You will see how AI is personalizing education, transforming entertainment, and optimizing retail experiences. Each chapter is designed to provide insights into how AI is currently being utilized and the future possibilities it holds. Beyond the technological advancements, this book delves into the ethical considerations and societal impacts of AI. We will discuss the moral dilemmas, privacy concerns, and the need for transparency and accountability in AI development. Understanding these aspects is crucial for fostering a responsible AI ecosystem that benefits all of humanity. In the chapters dedicated to the future of work, you will learn about the skills and competencies required in an AI-driven job market. We will explore the opportunities and challenges posed by job automation and the importance of continuous learning and adaptability. This book aims to equip you with the knowledge to navigate and thrive in a rapidly changing world. We will also address the vital role of individuals, businesses, and governments in shaping the future of AI. From fostering innovation and ensuring ethical practices to promoting inclusivity and equity, the collective efforts of all stakeholders are essential for creating a balanced and beneficial AI landscape. "The AI Revolution: How Artificial Intelligence Will Reshape Our Lives, Careers, and Future" is not just an academic discourse but a call to action. It encourages readers to engage with AI positively, responsibly, and proactively. As we stand on the brink of this technological revolution, it is imperative to understand its implications and harness its potential to create a better, more equitable world. Join us as we explore the fascinating world of AI, understand its transformative power, and envision a future where technology and humanity coexist harmoniously for the greater good.
Smart Supply Chains Analytics And Ai For Industrial Transformation 2025
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Author : Author:1- ACHYUTHA MOHAN, Author:2- PROF. (DR) ARPIT JAIN
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
Smart Supply Chains Analytics And Ai For Industrial Transformation 2025 written by Author:1- ACHYUTHA MOHAN, Author:2- PROF. (DR) ARPIT JAIN and has been published by YASHITA PRAKASHAN PRIVATE LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
PREFACE In today’s fast-paced industrial landscape, supply chains have become the critical backbone of global commerce, driving efficiency, innovation, and competitiveness. Yet, the complexity and volatility of modern markets demand far more than traditional supply chain management can offer. Smart Supply Chains: Analytics and AI for Industrial Transformation explores the transformative power of advanced analytics and artificial intelligence (AI) in revolutionizing supply chain operations, enabling organizations to achieve unprecedented agility, resilience, and sustainability. This book delves deeply into how data-driven intelligence and AI technologies are reshaping every facet of supply chains—from sourcing and production to logistics and customer fulfilment. It highlights how predictive analytics, machine learning, and real-time data processing unlock insights that empower smarter decision-making and proactive risk management. By integrating IoT devices, robotics, cloud computing, and blockchain, smart supply chains evolve into interconnected, autonomous networks capable of dynamically adapting to market demands and disruptions. While technological advancements are profound, this book also addresses the human and ethical dimensions of industrial transformation. It explores challenges such as data privacy, algorithmic fairness, workforce skill shifts, and governance frameworks necessary for responsible AI deployment. Through a blend of theoretical foundations, practical applications, and recent case studies, readers gain a holistic view of both opportunities and obstacles in building smart supply chains. Designed for supply chain professionals, data scientists, industry leaders, and academics, this book aims to bridge the gap between emerging technology and real-world industrial practice. It offers actionable insights for leveraging analytics and AI not just to optimize processes, but to fundamentally reimagine supply chains as strategic assets driving innovation and competitive advantage. As industries across the globe embrace digital transformation, the knowledge presented here will serve as a vital guide to harnessing analytics and AI for sustainable industrial growth. It is our hope that this work inspires readers to lead the future of supply chain management—building smarter, more responsive, and ethically responsible supply chains that thrive in the complex world of today and tomorrow. Authors Achyutha Mohan Prof. (Dr) Arpit Jain
Ai And Machine Learning Impacts In Intelligent Supply Chain
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Author : Pandey, Binay Kumar
language : en
Publisher: IGI Global
Release Date : 2024-01-29
Ai And Machine Learning Impacts In Intelligent Supply Chain written by Pandey, Binay Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-29 with Business & Economics categories.
Businesses are facing an unprecedented challenge - the urgent need to adapt and thrive in a world where intelligent factories and supply chains are the new norm. The digital transformation of supply chains is essential for staying competitive, but it is a complex journey fraught with uncertainties. How can organizations harness the power of emerging technologies like Artificial Intelligence (AI) and Machine Learning (ML) to increase profitability, cut supply chain costs, elevate customer service, and optimize their networks? The answers to these questions are crucial for business survival and success. AI and Machine Learning Impacts in Intelligent Supply Chain is a groundbreaking book that offers a comprehensive solution to the challenges posed by the Industry 4.0 revolution. This book is your indispensable guide to navigating the intricate world of supply chain digital transformation using innovative technologies. It provides real-world examples and insights that illustrate how AI and ML are the keys to solving complex supply chain problems, from inventory management to route optimization and beyond. Whether you are an academic scholar seeking to delve into the impact of AI and ML on supply chain management or a business leader striving to gain a competitive edge, this book is tailored to meet your needs.
Artificial Intelligence And Economic Development
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Author : Prof. (Dr.) Des Raj Bajwa (Principal), Prof. (Dr) Naib Singh
language : en
Publisher: SGSH Publications
Release Date : 2025-07-29
Artificial Intelligence And Economic Development written by Prof. (Dr.) Des Raj Bajwa (Principal), Prof. (Dr) Naib Singh and has been published by SGSH Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-29 with Antiques & Collectibles categories.
Artificial Intelligence and Economic Development delves into the transformative impact of AI on global economic landscapes. This book examines how AI technologies are reshaping industries, enhancing productivity and driving innovation across sectors such as agriculture, healthcare, education and manufacturing. The book presents real-world case studies and expert analyses to explore the opportunities AI offers for inclusive and sustainable growth particularly in emerging economies. It also addresses critical challenges including job displacement, ethical concerns and digital inequality. Designed for policymakers, business leaders, researchers and technologists, this book serves as a roadmap for responsibly harnessing AI to advance equitable and long-term economic development.
Artificial Intelligence Machine Learning And Deep Learning For Sustainable Industry 5 0
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Author : Nitin Liladhar Rane
language : en
Publisher: Deep Science Publishing
Release Date : 2024-10-14
Artificial Intelligence Machine Learning And Deep Learning For Sustainable Industry 5 0 written by Nitin Liladhar Rane and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-14 with Computers categories.
This book offers an insight into the applications of Artificial Intelligence (AI)- Machine Learning Algorithms and Deep Learning (DL) in Bigdata Analytics to Industry 4.0/5.0 and Society 5.0 with transformative power responsibly. It has delved into how these technologies are disrupting industries, fostering innovation, and solving age-old social problems-so that readers have an understanding of where the digital world is headed. These chapters cover the big picture subjects of using AI with Big data analytics aimed mostly at increasing industrial efficiency, healthcare optimization, retail transformation, construction industry transformation, autonomous vehicles development and environmental sustainability improvement. The book covers each of these technologies extensively applied to full chapters devoted to detail studies, methodologies and practical usages. One of the central concepts in the book is how we evolve from industry 4.0 to industry 5.0. Therefore, Industry 4.0 relies on the automation and data exchange in manufacturing technologies using cyber-physical systems, the Internet of Things and cloud computing route to intelligent factories. During this phase, it improves operational efficiency, predictive maintenance and real-time monitoring which lowers down time and other operating costs by considerable amount. As industries move towards Industry 5.0, a lot has been noted-human-oriented solutions that combine human creativity and intelligence with highly automated and distributed technological tools. More cooperation between humans and machines during such times will, therefore, result in more customized production aimed at sustainable processes. The book details how, thanks to digital twins-that is, innumerable virtual replicas of physical systems-the further step is taken, allowing for real-time data analysis and, consequently innovative ways of manufacturing where the interests of the workers and customers come first. The present book discusses how AI and big data analytics transcend industrial applications to meet more societal ends as society ushers in its fifth revolution. Society 5.0 postulates that a super-smart digital society will drive transformation in all aspects of life, ranging from health and education to planning urban resources and infrastructure and ensuring public safety. The combination of AI with Big Data makes personalized healthcare services possible, competent resource planning in cities, and environmental sustainability in place via predictive analytics or simulation models. One such industry in which significant changes are coming, according to AI and Big Data analytics, is healthcare. This book shows how these technologies improve diagnostic accuracy, enable personalized treatment plans, and optimize resource allocations. Predictive insights can predict outbreaks and admissions, which helps better preparedness against diseases and also optimizes health resource utilization. AI in medical imaging and anomaly detection strengthens the efficiency of professional health experts, thus delivering better patient outcomes. AI and big data analytics have further remodelled the retail industry by providing retailers profound insights into consumer behaviour and preferences. With this information, retailers can adopt person-segmented marketing techniques and optimize inventory levels while enabling high levels of customer service using AI-fuelled chatbots and virtual assistants. These technologies help retailers stay competitive in an ever-developing market environment by offering solutions structured based on individual needs expressed by customers. AI and big data analytics combine to form one synergy connected with autonomous vehicles. It further goes on to discuss the huge amount of data needed for training these AI models and big data analytics in refining the accuracy and safety of autonomous driving systems. Another critical area in which AI and Big Data Analytics make a considerable impact is environmental sustainability. By applying these analyses to large data sets relating to climatic changes, energy consumption, and natural resources, AI models can establish trends and recognize patterns indicating future changes. This predictive ability equips organizations and governments with tools to develop lower environmental footprints and promote sustainable practices proactively. It further explains AI-enabled energy management systems that drive optimized energy use in buildings to reduce carbon emissions and save on associated costs. This certainly looks like something for a vast readership: it speaks more to academics, professionals working in the industry, and decision-makers-but, really, to anybody who seeks to grasp the transformative powerfulness of AI and big data analytics. This source will provide information on overall guidance and a rich source of inspiration in using these technologies to enable innovation and sustainable development across different sectors. Actual case examples and practical applications are given to convey the knowledge and elements that readers need to know as they go about using AI and big data analytics. This book also includes discussions concerning the dynamic policy and regulatory scenes of AI, pointing out that it is necessary to have standard policies that should be implemented to have ethical deployment of AI that reduces risks. This book also focuses on challenges in implementing AI for intelligent and sustainable industries, meaning technical, ethical, and operational barriers. It outlines high costs, low-quality data, and the need for skilled professionals; ethical concerns and robust cybersecurity measures become necessary. As such, this book will engross an audience ranging from academics to industry professionals and policymakers working toward understanding and using AI and big data for sustainable development and technological advancement.
Digital Transformation Artificial Intelligence And Society
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Author : Sachin Kumar
language : en
Publisher: Springer Nature
Release Date : 2024-08-18
Digital Transformation Artificial Intelligence And Society written by Sachin Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-18 with Business & Economics categories.
This book examines the fundamental concepts and principles of digital transformation and AI, including their historical development, and underlying technologies, and analyzes the opportunities arising from digital transformation and AI in different sectors, such as healthcare, finance, education, transportation, and governance. It provides a comprehensive overview of digital transformation and AI technologies and their current state of implementation. It also explores the potential challenges and risks associated with digital transformation and AI, including ethical considerations, job displacement, privacy concerns, biases, impact on inequality, social interactions, and the overall well-being of individuals and communities. Additionally, the books provides and discusses policy and regulatory frameworks that can effectively address the opportunities and challenges posed by digital transformation and AI leading to responsible AI. It also delves into impact of automation on the job market and workforce. The book concludes by proposing potential strategies for navigating opportunities and challenges of digital transformation and AI integration. It emphasizes the need for interdisciplinary collaboration among stakeholders, including policymakers, industry leaders, academia, and civil society, to develop a comprehensive approach towards harnessing the full potential of digital transformation and AI and associated technologies. The book employs a multidisciplinary approach, drawing from various fields such as computer science, sociology, philosophy, political science, economics, law and governance. It combines theoretical analysis, empirical case studies, and expert perspectives to provide a holistic view of the subject matter. This book caters to a diverse audience, including students, researchers, academics, policymakers, industry professionals, and technology enthusiasts. It provides a valuable resource for those seeking a comprehensive understanding ofthe opportunities and challenges arising from the integration of digital transformation and AI in society.