Ai And Machine Learning Impacts In Intelligent Supply Chain
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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.
Ai And Machine Learning Impacts In Intelligent Supply Chain
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Author : A. Shaji George
language : en
Publisher:
Release Date : 2024
Ai And Machine Learning Impacts In Intelligent Supply Chain written by A. Shaji George and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with 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. It bridges the gap between theory and practice, offering a roadmap to success in the era of intelligent supply chains. By exploring topics such as automation, multiagent systems, and big data, you will gain the knowledge and tools necessary to revolutionize your supply chain operations.
Artificial Intelligent Techniques For Wireless Communication And Networking
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Author : R. Kanthavel
language : en
Publisher: John Wiley & Sons
Release Date : 2022-02-24
Artificial Intelligent Techniques For Wireless Communication And Networking written by R. Kanthavel and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-24 with Computers categories.
ARTIFICIAL INTELLIGENT TECHNIQUES FOR WIRELESS COMMUNICATION AND NETWORKING The 20 chapters address AI principles and techniques used in wireless communication and networking and outline their benefit, function, and future role in the field. Wireless communication and networking based on AI concepts and techniques are explored in this book, specifically focusing on the current research in the field by highlighting empirical results along with theoretical concepts. The possibility of applying AI mechanisms towards security aspects in the communication domain is elaborated; also explored is the application side of integrated technologies that enhance AI-based innovations, insights, intelligent predictions, cost optimization, inventory management, identification processes, classification mechanisms, cooperative spectrum sensing techniques, ad-hoc network architecture, and protocol and simulation-based environments. Audience Researchers, industry IT engineers, and graduate students working on and implementing AI-based wireless sensor networks, 5G, IoT, deep learning, reinforcement learning, and robotics in WSN, and related technologies.
The Oxford Handbook Of Supply Chain Management
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Author : Thomas Y. Choi
language : en
Publisher: Oxford University Press
Release Date : 2021-09-13
The Oxford Handbook Of Supply Chain Management written by Thomas Y. Choi and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-13 with Business & Economics categories.
Supply chain management contends with structures and processes for delivering goods and services to customers. It addresses the core functions of connected businesses to meet downstream demand. This innovative volume provides an authoritative and timely guide to the overarching issues that are ubiquitous throughout the supply chain. In particular, it addresses emerging issues that are applicable across supply chains--such as data science, financial flows, human capital, internet technologies, risk management, cyber security, and supply networks. With chapters from an international roster of leading scholars in the field, the Oxford Handbook of Supply Chain Management is a necessary resource for all students and researchers of the field as well as for forward-thinking practitioners.
Supply Chain Transformation Through Generative Ai And Machine Learning
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Author : Sabri, Ehap
language : en
Publisher: IGI Global
Release Date : 2025-01-23
Supply Chain Transformation Through Generative Ai And Machine Learning written by Sabri, Ehap and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-23 with Business & Economics categories.
The transformative role of Generative Artificial Intelligence (AI) and Machine Learning (ML) in supply chain management is increasingly being recognized as a game-changer in the industry. Recent statistics underscore this trend, highlighting the rapid adoption and significant impact of these technologies. However, the path to digital transformation is not without its challenges. Despite improved success rates, about 60% of digital transformation initiatives in supply chains still struggle to fully meet their objectives. This shortfall is often attributed to several key factors: the complexity and scale of integrating new technologies into existing systems; organizational resistance to change and inadequate stakeholder buy-in; lack of skilled professionals adept in these new technologies; insufficient data governance and quality; and underestimation of the need for a robust change management strategy. These challenges highlight the critical need for a comprehensive approach that addresses both the technical and human aspects of digital transformation. Supply Chain Transformation Through Generative AI and Machine Learning is a comprehensive resource to the best practices in digital enablement, change management, and process optimization, with a specific focus on Generative AI and ML. It equips readers with the knowledge and strategies necessary for successful integration of these technologies, drawing on the latest industry insights and expert recommendations, to enhance supply chain efficiency and effectiveness, reduce costs, and drive revenue growth. Covering topics such as AI-powered visual models, demand planning, and product clustering, this book is an excellent resource for executives, business leaders, program managers, data scientists, AI and ML developers, industry analysts, consultants, professionals, scholars, researchers, academicians, and more.
Interdisciplinary Approaches To Ai Internet Of Everything And Machine Learning
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Author : Pandey, Digvijay
language : en
Publisher: IGI Global
Release Date : 2024-12-13
Interdisciplinary Approaches To Ai Internet Of Everything And Machine Learning written by Pandey, Digvijay and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-13 with Computers categories.
Artificial intelligence (AI), the Internet of Everything (IoE), and Machine Learning (ML) are transforming modern society by driving innovation and improving efficiency across diverse fields. These technologies enable seamless connectivity, intelligent decision-making, and data-driven solutions that address complex global challenges. From revolutionizing industries like healthcare, education, and transportation to enhancing communication and resource management, their applications are vast and impactful. Interdisciplinary approaches are critical for unlocking their full potential, fostering collaboration across sectors to develop sustainable, ethical, and inclusive solutions. As these technologies continue to shape the future, they hold the promise of advancing societal progress while addressing pressing issues. Interdisciplinary Approaches to AI, Internet of Everything, and Machine Learning explores interdisciplinary approaches to harnessing AI, IoT, and ML to address complex challenges and drive innovation across various fields. It emphasizes collaborative strategies to develop sustainable, ethical, and impactful technological solutions for a rapidly evolving world. Covering topics such as artificial neural networks, management information systems, and supply chain management, this book is an excellent resource for researchers, technologists, industry professionals, educators, policymakers, and more.
A Sustainable Future With E Mobility Concepts Challenges And Implementations
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Author : D., Lakshmi
language : en
Publisher: IGI Global
Release Date : 2024-06-21
A Sustainable Future With E Mobility Concepts Challenges And Implementations written by D., Lakshmi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-21 with Technology & Engineering categories.
Integrating electric vehicles (EVs) into power distribution systems presents significant challenges, particularly concerning power source dependability and grid stability. The distribution system, a critical element of the power system, is susceptible to failures and power outages exacerbated by the extensive adoption of EVs. Additionally, managing the administration, monitoring, and control of power systems in the context of EV integration is a complex and daunting task for energy experts. A Sustainable Future with E-Mobility: Concepts, Challenges, and Implementations offers a comprehensive solution to these challenges. It explores infrastructure frameworks, planning strategies, control strategies, and software applications for integrating EVs with power distribution systems, focusing on innovative grid developments. By providing insights into architectural reconfiguration, restoration strategies, power quality control, and regulatory aspects, the book equips students, researchers, academicians, policymakers, and industry experts with the knowledge needed to achieve a secure, resilient, and efficient integration of EVs into distribution networks.
The Convergence Of Self Sustaining Systems With Ai And Iot
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Author : Rajappan, Roopa Chandrika
language : en
Publisher: IGI Global
Release Date : 2024-04-26
The Convergence Of Self Sustaining Systems With Ai And Iot written by Rajappan, Roopa Chandrika and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-26 with Business & Economics categories.
Picture a world where autonomous systems operate continuously and intelligently, utilizing real-time data to make informed decisions. Such systems have the potential to revolutionize agriculture, urban infrastructure, and industrial automation. This transformation, often termed the Internet of Self-Sustaining Systems (IoSS), is a pivotal topic that demands academic attention and exploration. Addressing this critical issue head-on is The Convergence of Self-Sustaining Systems With AI and IoT, which offers an in-depth examination of this transformative convergence. It serves as a guiding light for academic scholars seeking to unravel the vast potential of self-sustaining systems coupled with AI and IoT. Inside its pages, readers will delve into AI-driven autonomous agriculture, eco-friendly transportation solutions, and intelligent energy management. Moreover, the book explores emerging technologies, security concerns, ethical considerations, and governance frameworks. Join us on this intellectual journey and position yourself at the forefront of the AI and IoT revolution that promises a sustainable, autonomous future.
Advanced Interdisciplinary Applications Of Deep Learning For Data Science
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Author : Mathew Biju, Soly
language : en
Publisher: IGI Global
Release Date : 2024-12-18
Advanced Interdisciplinary Applications Of Deep Learning For Data Science written by Mathew Biju, Soly and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-18 with Computers categories.
Advanced interdisciplinary applications of deep learning are revolutionizing the field of data science, enabling new solutions across industries. By leveraging neural networks and datasets, deep learning techniques are transforming how businesses analyze, interpret, and gain insights from complex data. In fields like healthcare, finance, engineering, and business, deep learning models can uncover patterns and make predictions to enhance data-driven decision-making while fostering new opportunities in areas like personalized medicine, autonomous systems, and predictive analytics. As deep learning continues evolves, its interdisciplinary impact expands, creating new possibilities for solving challenges in data science. Advanced Interdisciplinary Applications of Deep Learning for Data Science explores innovations of deep learning technology in data science for various industries and sectors. It examines solutions for decision-making and patient or customer service using machine learning, AI, and predictive analytics. This book covers topics such as bioinformatics, environmental monitoring, and medical diseases, and is a useful resource for data scientists, computer engineers, medical professionals, academicians, and researchers.
Applications Of Artificial Intelligence In Pharmaceuticals
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Author : Muniasamy, Anandhavalli
language : en
Publisher: IGI Global
Release Date : 2025-07-11
Applications Of Artificial Intelligence In Pharmaceuticals written by Muniasamy, Anandhavalli and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-11 with Medical categories.
Artificial intelligence (AI) is transforming the pharmaceutical industry by accelerating drug discovery, improving clinical trial design, and optimizing manufacturing processes. Its integration into areas such as polymers science, omics, and hospital administration enhances precision, efficiency, and patient outcomes. The use of advanced technologies is not only streamlining operations but also opening new frontiers for innovation. As AI reshapes the healthcare landscape, it raises important questions about ethics, data integrity, and equitable access, prompting the need for thoughtful implementation and governance. Applications of Artificial Intelligence in Pharmaceuticals offers a comprehensive exploration of how AI is revolutionizing every facet of the pharmaceutical industry, from drug discovery to hospital administration. With a focus on practical implementation, ethical considerations, and future innovations, this book serves as a roadmap to navigating the challenges and opportunities of AI in pharmaceuticals. Covering topics such as data-driven modelling, patient feedback, and smart manufacturing, this book is an excellent resource for pharmaceutical industry professionals, AI and data science practitioners, academicians, researchers, healthcare professionals, regulators, policymakers, entrepreneurs, innovators, and more.