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Author: Ponnusamy, Sivaram Publisher: IGI Global ISBN: Category : Computers Languages : en Pages : 542
Book Description
The intersection of artificial intelligence (AI) and digital twin technology presents a problem and an unparalleled opportunity for transformation. Businesses grapple with the need for operational excellence, innovation, and a competitive edge, all while navigating the intricate web of data analytics, decision-making, and real-time monitoring. In response to these challenges, Harnessing AI and Digital Twin Technologies in Businesses emerges as an example of insight and guidance, offering a comprehensive exploration of the complementary connection between AI and digital twin technology. In a world where the convergence of these powerful tools transforms business intelligence, enabling initiative-taking decision-making and dynamic simulations. This book serves as a solution for decision-makers, technologists, and researchers seeking to not only understand but harness the potential of AI-powered digital twins to enhance productivity, creativity, and judgment in their operations.
Author: Ponnusamy, Sivaram Publisher: IGI Global ISBN: Category : Computers Languages : en Pages : 542
Book Description
The intersection of artificial intelligence (AI) and digital twin technology presents a problem and an unparalleled opportunity for transformation. Businesses grapple with the need for operational excellence, innovation, and a competitive edge, all while navigating the intricate web of data analytics, decision-making, and real-time monitoring. In response to these challenges, Harnessing AI and Digital Twin Technologies in Businesses emerges as an example of insight and guidance, offering a comprehensive exploration of the complementary connection between AI and digital twin technology. In a world where the convergence of these powerful tools transforms business intelligence, enabling initiative-taking decision-making and dynamic simulations. This book serves as a solution for decision-makers, technologists, and researchers seeking to not only understand but harness the potential of AI-powered digital twins to enhance productivity, creativity, and judgment in their operations.
Author: Jilali Antari Publisher: ISBN: Category : Computers Languages : en Pages : 0
Book Description
The intersection of artificial intelligence (AI) and digital twin technology presents a problem and an unparalleled opportunity for transformation. Businesses grapple with the need for operational excellence, innovation, and a competitive edge, all while navigating the intricate web of data analytics, decision-making, and real-time monitoring. In response to these challenges, Harnessing AI and Digital Twin Technologies in Businesses emerges as an example of insight and guidance, offering a comprehensive exploration of the complementary connection between AI and digital twin technology. In a world where the convergence of these powerful tools transforms business intelligence, enabling initiative-taking decision-making and dynamic simulations. This book serves as a solution for decision-makers, technologists, and researchers seeking to not only understand but harness the potential of AI-powered digital twins to enhance productivity, creativity, and judgment in their operations.
Author: Gaur, Loveleen Publisher: IGI Global ISBN: Category : Computers Languages : en Pages : 472
Book Description
Generative artificial intelligence (GAI) represents a profound leap in technological advancement, empowering machines to create content that closely mimics human creativity in various forms. As this technology continues to evolve and permeate multiple industries, it is essential to address the accompanying ethical considerations that arise from its use. Furthermore, there is a need for transparency in how GAI systems are developed and deployed to ensure that they are used responsibly and that their outputs are reliable and fair. Balancing innovation with ethical practices will be crucial to harnessing the benefits of GAI while mitigating its risks and ensuring its positive contribution to society. Responsible Implementations of Generative AI for Multidisciplinary Use highlights both the immense potential of GAI and the ethical challenges it presents. This book demystifies GAI by breaking down complex concepts into accessible language and offering real-world examples that illustrate the implications of its applications. Covering topics such as chatbots, ethical leadership, and the metaverse, this book is an excellent resource for technology professionals and developers, ethicists, policymakers, academicians, researchers, business leaders and executives, legal experts, students, educators, and more.
Author: Nadda, Vipin Publisher: IGI Global ISBN: Category : Computers Languages : en Pages : 874
Book Description
In an era marked by rapid technological advancements and the increasing integration of artificial intelligence (AI) into various sectors, the intersection of AI technologies with service marketing stands as a pivotal frontier. It is essential to explore the intricate nexus between AI technologies and service marketing strategies. Integrating AI-Driven Technologies Into Service Marketing elucidates the transformative impact of AI on key facets of service marketing, ranging from customer engagement and relationship management to market segmentation and product customization. It underscores the imperative for stakeholders in emerging economies to harness the power of AI technologies in crafting innovative and adaptive service marketing strategies. The book navigates the complexities of AI adoption while offering pragmatic recommendations for fostering responsible and inclusive AI-driven service marketing ecosystems. Covering topics such as customer engagement, influencer marketing, and sentiment analysis, this book is an excellent resource for scholars, researchers, educators, business professionals, managers, academicians, postgraduate students, and more.
Author: Chiwaridzo, Option Takunda Publisher: IGI Global ISBN: Category : Business & Economics Languages : en Pages : 398
Book Description
As the travel landscape evolves rapidly, propelled by technological innovations, AI emerges as a powerful force reshaping tourism practices worldwide. This book aims to explore the dynamic intersection of artificial intelligence (AI) and the travel industry, offering a comprehensive guide to harnessing AI for enriched, tailored experiences and sustainable development. This groundbreaking book illuminates how AI is revolutionizing personalized recommendations, optimizing operational efficiencies, and promoting eco-conscious practices, fostering a harmonious balance between exploration and environmental stewardship. At its core, AI Technologies for Personalized and Sustainable Tourism seeks to provide a holistic understanding of AI's transformative potential in the hospitality sector. By delving into the latest advancements and real-world applications of AI, readers are guided through practical insights into leveraging AI to enhance traveler experiences while advancing sustainability goals. From AI-powered recommendation systems to predictive analytics and virtual assistants, each chapter offers invaluable insights into how AI can be deployed to create personalized, sustainable tourism experiences.
Author: Amit Kumar Tyagi Publisher: John Wiley & Sons ISBN: 1394303572 Category : Computers Languages : en Pages : 628
Book Description
An essential book on the applications of AI and digital twin technology in the smart manufacturing sector. In the rapidly evolving landscape of modern manufacturing, the integration of cutting-edge technologies has become imperative for businesses to remain competitive and adaptive. Among these technologies, Artificial Intelligence (AI) stands out as a transformative force, revolutionizing traditional manufacturing processes and making the way for the era of smart manufacturing. At the heart of this technological revolution lies the concept of the Digital Twin—an innovative approach that bridges the physical and digital realms of manufacturing. By creating a virtual representation of physical assets, processes, and systems, organizations can gain unprecedented insights, optimize operations, and enhance decision-making capabilities. This timely book explores the convergence of AI and Digital Twin technologies to empower smart manufacturing initiatives. Through a comprehensive examination of principles, methodologies, and practical applications, it explains the transformative potential of AI-enabled Digital Twins across various facets of the manufacturing lifecycle. From design and prototyping to production and maintenance, AI-enabled Digital Twins offer multifaceted advantages that redefine traditional paradigms. By leveraging AI algorithms for data analysis, predictive modeling, and autonomous optimization, manufacturers can achieve unparalleled levels of efficiency, quality, and agility. This book explains how AI enhances the capabilities of Digital Twins by creating a powerful tool that can optimize production processes, improve product quality, and streamline operations. Note that the Digital Twin in this context is a virtual representation of a physical manufacturing system, including machines, processes, and products. It continuously collects real-time data from sensors and other sources, allowing it to mirror the physical system’s behavior and performance. What sets this Digital Twin apart is the incorporation of AI algorithms and machine learning techniques that enable it to analyze and predict outcomes, recommend improvements, and autonomously make adjustments to enhance manufacturing efficiency. This book outlines essential elements, like real-time monitoring of machines, predictive analytics of machines and data, optimization of the resources, quality control of the product, resource management, decision support (timely or quickly accurate decisions). Moreover, this book elucidates the symbiotic relationship between AI and Digital Twins, highlighting how AI augments the capabilities of Digital Twins by infusing them with intelligence, adaptability, and autonomy. Hence, this book promises to enhance competitiveness, reduce operational costs, and facilitate innovation in the manufacturing industry. By harnessing AI’s capabilities in conjunction with Digital Twins, manufacturers can achieve a more agile and responsive production environment, ultimately driving the evolution of smart factories and Industry 4.0/5.0. Audience This book has a wide audience in computer science, artificial intelligence, and manufacturing engineering, as well as engineers in a variety of industrial manufacturing industries. It will also appeal to economists and policymakers working on the circular economy, clean tech investors, industrial decision-makers, and environmental professionals.
Author: Asian Development Bank Publisher: Asian Development Bank ISBN: 929270138X Category : Technology & Engineering Languages : en Pages : 143
Book Description
Fourth Industrial Revolution (4IR) technologies have brought about unprecedented changes to labor markets, and the coronavirus disease further hastened digital transformations. While the application of 4IR technologies spell opportunities for productivity growth and income gains, they also create challenges, including job losses. Investing in skills for 4IR and incorporating 4IR technologies in the delivery of training can smoothen the transition to 4IR workplaces. To provide insights on the opportunities of 4IR, studies were undertaken in three countries—Azerbaijan, Pakistan, and Uzbekistan. This report, focusing on Uzbekistan, presents evidence from surveys of employers and training institutions, as well as an analysis of job portals for the agro-processing and transportation and storage sectors. It lays out policy directions and actions to harness the benefits of 4IR for growth, employment, and inclusive development.
Author: Ponnusamy, Sivaram Publisher: IGI Global ISBN: Category : Computers Languages : en Pages : 360
Book Description
In the modern and data-driven business landscape, organizations face an increasingly complex challenge: how to harness the power of Artificial Intelligence (AI) and digital twin technology to stay competitive and relevant. This challenge is exacerbated by the rapid evolution of these technologies and the urgent need for businesses to adapt. AI continues to advance in areas such as language comprehension, pattern recognition, decision-making, and experiential learning, while digital twins are transforming into electronic replicas of real-world entities. Consequently, businesses grapple with the complexities of navigating this transformative convergence. Digital Twin Technology and AI Implementations in Future-Focused Businesses addresses the pressing issue of how AI and digital twin technology are altering the very fabric of business operations. It delves into the profound implications for productivity, creativity, and decision-making in organizations across diverse industries. Staying ahead of the technical curve is crucial, and this book equips readers with the knowledge and insights needed to thrive in this evolving business landscape.
Author: Jafar, Syed Hasan Publisher: IGI Global ISBN: Category : Business & Economics Languages : en Pages : 463
Book Description
The pressing challenge of aligning cutting-edge technologies with environmental sustainability has emerged as a pivotal issue. As the demand for green investment strategies intensifies, the need for a comprehensive understanding of how to integrate blockchain and digital twins into financial practices becomes increasingly urgent. The disconnect between these innovative technologies and sustainable finance practices is a gap that, if left unbridged, hampers progress toward a more environmentally responsible financial future. Harnessing Blockchain-Digital Twin Fusion for Sustainable Investments emerges as the solution to this critical problem. This book serves as a transformative guide, offering a deep dive into the synergy of blockchain and digital twins, providing real-world applications, case studies, and strategy frameworks. Tailored for academia, finance professionals, technologists, policymakers, and company leaders, this book bridges the gap between cutting-edge technologies and sustainable finance practices. It not only contributes to ongoing research but also acts as a catalyst for innovation, empowering individuals to make informed decisions in an evolving financial landscape with a heightened commitment to environmental responsibility. Embark on a journey with this groundbreaking resource, where technology meets sustainability, and discover how to reshape finance for a greener and more innovative future.
Author: Moncef L. Nehdi Publisher: Elsevier ISBN: 0443131929 Category : Technology & Engineering Languages : en Pages : 440
Book Description
Artificial Intelligence Applications for Sustainable Construction presents the latest developments in AI and ML technologies applied to real-world civil engineering concerns. With an increasing amount of attention on the environmental impact of every industry, more construction projects are going to require sustainable construction practices. This volume offers research evidence, simulation results, and case studies to support this change. Sustainable construction, in fact, not only uses renewable and recyclable materials when building new structures or repairing deteriorating ones, but also adopts all possible methods to reduce energy consumption and waste. The concisely written but comprehensive, practical knowledge put forward by this international group of highly specialized editors and contributors will prove to be beneficial to engineering students and professionals alike. - Presents convincing "success stories that encourage application of AI-powered tools to civil engineering - Provides a wealth of valuable technical information to address and resolve many challenging construction problems - Illustrates the most recent shifts in thinking and practice for sustainable construction
Author: Ponnusamy, Sivaram
Author: Ponnusamy, Sivaram
Author: Jilali Antari
Author: Gaur, Loveleen
Author: Nadda, Vipin
Author: Chiwaridzo, Option Takunda
Author: Amit Kumar Tyagi
Author: Asian Development Bank
Author: Ponnusamy, Sivaram
Author: Jafar, Syed Hasan
Author: Moncef L. Nehdi