Supply Chain Transformation Through Generative Ai And Machine Learning
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Supply Chain Transformation Through Generative Ai And Machine Learning
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Author : Ehap H. Sabri
language : en
Publisher: Business Science Reference
Release Date : 2025
Supply Chain Transformation Through Generative Ai And Machine Learning written by Ehap H. Sabri and has been published by Business Science Reference this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with Business & Economics categories.
"This book is meticulously crafted to serve as a pivotal resource in the rapidly evolving domain of digital supply chain management. It synthesizes the latest best practices and cutting-edge research in digital supply chain enablement, offering business professionals an indispensable guide to navigate and excel in supply chain business transformation initiatives"--
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.
Advancements In Artificial Intelligence And Machine Learning
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Author : Asif Khan, Mohammad Kamrul Hasan, Naushad Varish, Mohammed Aslam Husain
language : en
Publisher: Bentham Science Publishers
Release Date : 2025-06-19
Advancements In Artificial Intelligence And Machine Learning written by Asif Khan, Mohammad Kamrul Hasan, Naushad Varish, Mohammed Aslam Husain and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-19 with Computers categories.
Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing industries, reshaping the way we interact with technology, and driving innovation across multiple disciplines. Advancements in Artificial Intelligence and Machine Learning is a comprehensive exploration of the latest developments, applications, and challenges in AI and ML, offering insights into cutting-edge research and real-world implementations. This book is a collection of twelve chapters, each exploring a distinct application of Artificial Intelligence (AI) and Machine Learning (ML). It begins with an overview of AI’s transformative role in Next-Gen Mechatronics, followed by a comprehensive review of key advancements and trends in the field. The book then examines AI’s impact across diverse sectors, including energy, digital communication, and security, with topics such as AI-based aging analysis of power transformer oil, AI in social media management, and AI-driven human detection systems. Further chapters address sentiment analysis, visual analysis for image processing, and the integration of AI in smart grid networks. The volume also covers AI applications in hardware security for wireless sensor networks, drone robotics, and crime prevention systems. The final set of chapters highlight AI’s role in healthcare and automation, including an AI-assisted system for women’s safety in India and the use of EfficientNet B0 CNN architecture for brain tumor detection and classification. Together, these chapters showcase the versatility and growing influence of AI and ML across critical modern industries. Key features A multidisciplinary approach covering AI applications in robotics, cybersecurity, healthcare, and digital transformation in 12 organized chapters. A focus on contemporary challenges and solutions in AI and ML across industries. Research-driven insights from experts and practitioners in the field. Practical discussions on AI-driven automation, security, and intelligent decision-making systems.
Impact Of Generative Ai On Food Supply Chain Management
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Author : Chahal, Bhupinder Pal Singh
language : en
Publisher: IGI Global
Release Date : 2025-06-27
Impact Of Generative Ai On Food Supply Chain Management written by Chahal, Bhupinder Pal Singh and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-27 with Business & Economics categories.
Generative AI may revolutionize food supply chain management by enhancing efficiency, reducing waste, and improving decision-making processes. Through advanced predictive models, AI can optimize inventory management, forecast demand with greater accuracy, and streamline production schedules, ensuring food is produced, distributed, and consumed more sustainably. Additionally, AI-powered tools can identify supply chain vulnerabilities, like disruptions caused by weather or geopolitical events, allowing companies to proactively mitigate risks and ensure continuity. Generative AI also enables the creation of novel recipes, product designs, and packaging solutions tailored to consumer preferences, further driving innovation in the food industry. However, the widespread integration of AI also raises concerns about data privacy, upskilling workers, and maintaining transparency across complex global supply chains. Impact of Generative AI on Food Supply Chain Management explores the role generative AI plays in food supply chains. It examines how technologies can revolutionize the food industry by optimizing supply chain operations, improving sustainability, enhancing food safety, and creating more resilient, efficient systems. This book covers topics such as blockchain, sustainable farming, and food service, and is a useful resource for agriculturalists, business owners, academicians, researchers, and scientists.
Digital Transformation In The Construction Industry
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Author : Ehsan Noroozinejad Farsangi
language : en
Publisher: Woodhead Publishing
Release Date : 2025-05-16
Digital Transformation In The Construction Industry written by Ehsan Noroozinejad Farsangi and has been published by Woodhead Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-16 with Technology & Engineering categories.
Digital Transformation in the Construction Industry: Sustainability, Resilience, and Data-Centric Engineering delivers timely and much sought-after guidance related to novel, digital-first practices and the latest technological tools, the gradual adoption of which is being embraced to significantly reshape the way buildings and other infrastructure assets are designed, constructed, operated, and maintained.Methodological and practice-informed investigations by scholars and researchers from across the globe, providing a wealth of knowledge relevant for, and applicable to, different geographical and economic contexts, are coherently collated in this edited volume. This systematic analysis of cutting-edge developments (such as Building Information Modeling, Internet of Things, Artificial Intelligence, Machine Learning, Big Data, Augmented Reality, Virtual Reality, 3D Printing, and Structural Health Monitoring) is accompanied by discussions on challenges and opportunities that digitalization engenders. Additionally, real-word case studies enrich the coverage, highlighting how these innovative solutions can contribute to establishing working efficiencies that can at the same time aid the impactful realization of globally recognized sustainability goals.Readers in both academic and professional settings are, therefore, not only equipped with a comprehensive overview of the state of the art but also offered an insightful reference resource for future works in the area. - Covers emerging technologies comprehensively - Emphasizes the use of digital tools to support achievements for worldwide net zero targets - Focuses on lean and agile construction practices to improve project efficiency and reduce waste
Cutting Edge Solutions For Advancing Sustainable Development Exploring Technological Horizons For Sustainability Part 1
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Author : Pawan Whig, Pavika Sharma, Nikihita Yathiraju
language : en
Publisher: Bentham Science Publishers
Release Date : 2025-03-14
Cutting Edge Solutions For Advancing Sustainable Development Exploring Technological Horizons For Sustainability Part 1 written by Pawan Whig, Pavika Sharma, Nikihita Yathiraju and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-14 with Business & Economics categories.
Cutting-Edge Solutions for Advancing Sustainable Development: Exploring Technological Horizons for Sustainability – Part 1 explores the transformative role of emerging technologies in driving global sustainability. This book highlights how artificial intelligence, machine learning, biotechnology, digitization, and smart city innovations contribute to tackling critical environmental and social challenges. Spanning multiple industries, the book examines AI-powered solutions for cybersecurity and retail, sustainable urban planning through IoT and data analytics, green transportation advancements, and the role of digital transformation in achieving sustainable progress. Readers will gain valuable insights into pioneering innovations shaping a more sustainable future, with case studies and real-world applications. Key Features: - In-depth analysis of AI, IoT, biotech, and digitalization for sustainability. - Practical case studies and real-world applications. - Exploration of sustainability in smart cities, transportation, and cybersecurity. - Expert insights on integrating technology for a greener future.
Generative Ai Insights For Financial Decision Making
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Author : Irfan, Mohammad
language : en
Publisher: IGI Global
Release Date : 2025-07-09
Generative Ai Insights For Financial Decision Making written by Irfan, Mohammad and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-09 with Business & Economics categories.
Generative AI emerges as a powerful tool in the financial sector, offering new insights and capabilities that transform decision-making processes. By synthesizing complex datasets, generative models can uncover patterns, simulate market scenarios, and generate forecasts with greater speed and precision than traditional methods. These models support a range of applications, enabling institutions to make more informed, data-driven decisions. As generative AI evolves, it presents both opportunities and challenges, calling for a careful balance between innovation, transparency, and regulatory compliance in financial operations. Generative AI Insights for Financial Decision Making explores the implications of blockchain and generative AI in the finance sector. It examines best practices for optimizing operations and developing innovative financial products that meet evolving consumer demands. This book covers topics such as financial security, blockchain, and payment systems, and is a useful resource for engineers, business owners, academicians, researchers, and scientists.
Artificial Intelligence Ai Market Research Worldwide
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Author : Syarif M
language : en
Publisher: Pocket Analytica
Release Date : 2023-12-08
Artificial Intelligence Ai Market Research Worldwide written by Syarif M and has been published by Pocket Analytica this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-08 with Business & Economics categories.
This worldwide research, conducted through desk research, provides essential insights into the dynamic AI landscape globally. These findings serve as a valuable resource for businesses, policymakers, and stakeholders aiming to navigate and leverage the evolving worldwide AI landscape. Details: • Answering 99 Questions • 21+ Charts Data Sources: • Mainly obtained from Statista Premium, which exceeded 3000 USD for the data alone.
Generative Ai For A Net Zero Economy
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Author : Subhra R. Mondal
language : en
Publisher: Springer Nature
Release Date : 2025-08-11
Generative Ai For A Net Zero Economy written by Subhra R. Mondal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-11 with Computers categories.
This book covers the technological aspects of Generative AI, its applications in achieving a net-zero carbon economy, the challenges of climate change, and the economic and management implications of these transitions. The book explores the transformative potential of Generative AI in driving the transition to a net-zero economy. It examines how this cutting-edge technology is revolutionizing climate change mitigation strategies and reshaping business models in the digital age. The book offers a comprehensive guide to leveraging AI for sustainable innovation through case studies, expert insights, and forward-thinking analysis. It addresses the challenges and opportunities in integrating AI into climate action plans, economic policies, and corporate strategies. Essential reading for policymakers, business leaders, and technologists, this book provides a roadmap for harnessing Generative AI to create a sustainable, prosperous future encompassing several key elements that align with the United Nations Sustainable Development Goals, in particular SDG 13: Climate Action.
Generative Artificial Intelligence In Agriculture Education And Business
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Author : Jayesh Rane
language : en
Publisher: Deep Science Publishing
Release Date : 2024-10-16
Generative Artificial Intelligence In Agriculture Education And Business written by Jayesh 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 2024-10-16 with Computers categories.
The rapid digital development of the recent era has revolutionized the overall network of business and management as well as other sectors. The book discusses how emerging technologies, artificial intelligence (AI), blockchain, big data analytics, cloud computing and the Internet of Things (IoT), have a high level of impact on different industries. With more and more businesses turning towards these techs, it is extremely important to really understanding their relation and use in order to remain at the cutting edge of technology while emerging as an innovator. Chapter 1 is a detailed introduction to the digital transformation, driven by AI, blockchain, IoT and other technologies are changing Business & Management processes. This paves the way for diving deeper into targeted topics where these innovations are starting to have a big influence. In chapter two we delve into the increasing popularity of generative AI, ChatGPT takes center stage and how it is impacting range of industries. In this research, we review generative AI applications and opportunities as well as challenges and the outlook, for future development. Also touched on in the book are the customer front-exporting portions of digital renovation. Chapter 3 - Overall Vision: How AI, Machine Learning and related technologies help in higher customer satisfaction and loyalty right into the services industry to build exceptional service quality. In chapter four, we look at education-providing a SWOT analysis for ChatGPT in the transformation of pedagogical practices and research. We find that our higher-level theory is not so easily translated back into practice here - illustrating both the promise and problems that AI holds within a university setting. There are various areas in which we heavily rely on spatial analysis and remote sensing, and chapter five illustrates the new means by which AI and ChatGPT can be used to improve data interpretation and analysis for these fields. Chapter six shifts the focus to agriculture, highlighting how AI, machine learning and ChatGPT come into play in smart farming and how it might pave a way for enhanced productivity and sustainability within the agricultural landscape. Taken together, these chapters offer a deep dive into how AI is driving hope at sectors and provides insightful knowledge about futurity of business, education, and industry.