Ai And Data Analytics Applications In Organizational Management
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Ai And Data Analytics Applications In Organizational Management
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Author : Merlo, Tereza Raquel
language : en
Publisher: IGI Global
Release Date : 2024-02-07
Ai And Data Analytics Applications In Organizational Management written by Merlo, Tereza Raquel and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-07 with Business & Economics categories.
Within information sciences and organizational management, a pressing challenge emerges; How can we harness the transformative power of artificial intelligence (AI) and data analytics? As industries grapple with a deluge of data and the imperative to make informed decisions swiftly, the gap between data collection and actionable insights widens. Professionals in various sectors are in a race to unlock AI's full potential to drive operational efficiency, enhance decision-making, and gain a competitive edge. However, navigating this intricate terrain, laden with ethical considerations and interdisciplinary complexity, has proven to be a formidable undertaking. AI and Data Analytics Applications in Organizational Management, combines rigorous scholarship with practicality. It traverses the spectrum from theoretical foundations to real-world applications, making it indispensable for those seeking to implement AI-driven data analytics in their organizations. Moreover, it delves into the ethical and societal dimensions of this revolution, ensuring that the journey toward innovation is paved with responsible considerations. For researchers, scholars, and practitioners yearning to unleash the potential of AI in organizational management, this book is the key to not only understanding the landscape but also charting a course toward transformative change.
Building Trust In The Generative Artificial Intelligence Era
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Author : Joanna Paliszkiewicz
language : en
Publisher: Taylor & Francis
Release Date : 2025-06-27
Building Trust In The Generative Artificial Intelligence Era written by Joanna Paliszkiewicz and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-27 with Business & Economics categories.
In an era where generative artificial intelligence (AI) is reshaping industries and daily life, trust has become a cornerstone for its successful adoption and application. Building Trust in the Generative Artificial Intelligence Era: Technology Challenges and Innovations explores how trust can be built, maintained, and evaluated in a world increasingly reliant on AI technologies. Designed to be accessible to a broad audience, thi book blends theoretical insights with practical approaches, offering readers a comprehensive understanding of the topic. This book is divided into three parts. The first part examines the foundations of trust in generative AI, highlighting trends and ethical challenges such as "greenwashing" and remote work dynamics. The second part provides actionable frameworks and tools for assessing and enhancing trust, focusing on topics like cybersecurity, transparency, and explainability. The final section presents global case studies exploring university students' perceptions of ChatGPT, generative AI's applications in European agriculture, and its transformative impact on financial systems. By addressing both the opportunities and risks of generative AI, this book delivers groundbreaking insights for academics, professionals, and policymakers worldwide. It emphasizes practical solutions, ensuring readers gain the knowledge needed to navigate the evolving technological landscape and foster trust in transformative AI systems.
The Fourth Industrial Revolution Implementation Of Artificial Intelligence For Growing Business Success
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Author : Allam Hamdan
language : en
Publisher: Springer Nature
Release Date : 2021-02-12
The Fourth Industrial Revolution Implementation Of Artificial Intelligence For Growing Business Success written by Allam Hamdan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-12 with Technology & Engineering categories.
This book focuses on the implementation of AI for growing business, and the book includes research articles and expository papers on the applications of AI on decision-making, health care, smart universities, public sector and digital government, FinTech, and RegTech. Artificial Intelligence (AI) is a vital and a fundamental driver for the Fourth Industrial Revolution (FIR). Its influence is observed at homes, in the businesses and in the public spaces. The embodied best of AI reflects robots which drive our cars, stock our warehouses, monitor our behaviors and warn us of our health, and care for our young children. Some researchers also discussed the role of AI in the current COVID-19 pandemic, whether in the health sector, education, and others. On all of these, the researchers discussed the impact of AI on decision-making in those vital sectors of the economy.
Harnessing Digital Innovation For Air Transportation
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Author : Yilmaz, Ayse Asli
language : en
Publisher: IGI Global
Release Date : 2024-03-04
Harnessing Digital Innovation For Air Transportation written by Yilmaz, Ayse Asli and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-04 with Technology & Engineering categories.
The aviation industry faces an unprecedented challenge – the digital transformation revolution. While digital technologies promise immense benefits in terms of efficiency, safety, and passenger experience, they also bring forth intricate challenges. Navigating through complex regulatory frameworks and safeguarding against cybersecurity risks has become a paramount concern for aviation professionals and academics alike. The industry's future success hinges on its ability to adapt to this digital revolution while effectively managing the potential pitfalls it presents. Harnessing Digital Innovation for Air Transportation emerges as a timely and comprehensive solution for academic scholars in aviation management. It offers a profound exploration of how digital innovations are shaping various facets of aviation and provides in-depth strategies to address the challenges presented by this digital revolution. From understanding the impact of digital transformation to harnessing data analytics, managing safety, enhancing the passenger experience, and delving into emerging technologies, this book equips readers with the knowledge and tools to thrive in the digital age of aviation.
Recent Advances In Artificial Intelligence In Cost Estimation In Project Management
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Author : Nevena Rankovic
language : en
Publisher: Springer Nature
Release Date : 2024-12-06
Recent Advances In Artificial Intelligence In Cost Estimation In Project Management written by Nevena Rankovic and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-06 with Computers categories.
This book focuses on the practical application of AI tools and techniques in software project management, offering detailed theoretical explanations and practical examples of over 40 state-of-the-art machine learning and deep learning algorithms applied across each project phase, as well as in risk and resource management. Helping the business world estimate projects more accurately while saving costs and resources is crucial in today’s rapidly changing, fast-paced technological landscape. Moreover, it presents specific aspects of combined approaches through ensemble models, incorporating Taguchi’s optimization method to further improve estimation accuracy, advancing this area of software project management. A valuable resource for students and professionals to deepen their knowledge and skills, it also serves as a great manual for companies adopting smarter strategies to manage and develop projects more efficiently and effectively.
Applied Graph Data Science
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Author : Pethuru Raj
language : en
Publisher: Elsevier
Release Date : 2025-01-27
Applied Graph Data Science written by Pethuru Raj and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-27 with Computers categories.
Applied Graph Data Science: Graph Algorithms and Platforms, Knowledge Graphs, Neural Networks, and Applied Use Cases delineates how graph data science significantly empowers the application of data science. The book discusses the emerging paradigm of graph data science in detail along with its practical research and real-world applications. Readers will be enriched with the knowledge of graph data science, graph analytics, algorithms, databases, platforms, and use cases across a variety of research and topics and applications. This book also presents how graphs are used as a programming language, especially demonstrating how Sleptsov Net Computing can contribute as an entirely graphical concurrent processing language for supercomputers. Graph data science is emerging as an expressive and illustrative data structure for optimally representing a variety of data types and their insightful relationships. These data structures include graph query languages, databases, algorithms, and platforms. From here, powerful analytics methods and machine learning/deep learning (ML/DL) algorithms are quickly evolving to analyze and make sense out of graph data. As a result, ground-breaking use cases across scientific research topics and industry verticals are being developed using graph data representation and manipulation. A wide range of complex business and scientific research requirements are efficiently represented and solved through graph data analysis, and Applied Graph Data Science: Graph Algorithms and Platforms, Knowledge Graphs, Neural Networks, and Applied Graph Data Science gives readers both the conceptual foundations and technical methods for applying these powerful techniques. - Provides comprehensive coverage of the emerging paradigm of graph data science and its real-world applications - Gives readers practical guidance on how to approach and solve complex data analysis problems using graph data science, with an emphasis on deep analysis techniques including graph neural networks (GNNs), machine learning, algorithms, graph databases, and graph query languages - Covers extended graph models such as bipartite directed graphs of place-transition nets, graphs with dynamical processes defined on them - Petri and Sleptsov nets, and graphs as programming languages - Presents all the key tools and techniques as well as the foundations of graph theory, including mathematical concepts, research, and graph analytics
Disruptive Artificial Intelligence And Sustainable Human Resource Management
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Author : Anamika Pandey
language : en
Publisher: CRC Press
Release Date : 2023-12-14
Disruptive Artificial Intelligence And Sustainable Human Resource Management written by Anamika Pandey and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-14 with Business & Economics categories.
It is well-established that every organization is founded with a specific purpose and goals. Virtually all business organizations obtain measurements and metrics dealing with outcomes and results. However, what is reflected on the balance sheet does not necessarily show the actual worth of the organizations and ensure their survival and sustainability. Thus, the question arises, what exactly makes the organizations sustainable and thriving in an ever-changing environment? There are several examples of companies like Faber-Castell, Bank of Ireland, Chivas, DuPont and many more which have been able to sustain and survive over more than 200 years and still have a successful existence in the present era. Thus, it is important for the organization to pay equal attention to its three bottom lines, i.e., people, profit and planet for its sustainability, which not only meet the needs of the present generation but should have a futuristic approach as well. In the present era, organizations are adopting a new normal working dynamic and coping with the post-pandemic situations to sustain themselves in the business environment. Technology plays a significant role in this new working dynamic, and cutting-edge technologies like machine learning, artificial intelligence, blockchain,ChatGPT, Internet of Things, and much more effectively facilitate human functioning at work. The book aims to contribute to understanding and developing sustainable human resource management processes and practices aligned with recent technologies. It highlights the interconnection among the three bottom-line sustainable approaches for the growth and development of the organization. Topics discussed in this book include: • Disruptive Technologies and HR Sustainability • Convergence of Innovative Technologies, HR and Organizational Growth • Triple bottom-line Sustainability for HRM • Business-oriented Talent analytics and HR Sustainability • Role of Leadership in sustainable HRM practices.
Achieving Digital Transformation Through Analytics And Ai
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Author : Jay Liebowitz
language : en
Publisher: World Scientific
Release Date : 2024-12-27
Achieving Digital Transformation Through Analytics And Ai written by Jay Liebowitz and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-27 with Technology & Engineering categories.
Due to the rapid emergence of the development and use of Analytics and AI in organizations, this book focuses on these aspects related to digital transformation. We are in the midst of the GenAI craze, with prompt engineering, large language models, and AI ethics playing key roles. According to estimates, about 329 million terabytes of data are created each day [https://explodingtopics.com/blog/data-generated-per-day] or approximately 120 zettabytes per year. With this overabundance of data, in all types of forms, the use of Analytics and AI are essential techniques to help organizations make sense of their digital transformation efforts. In this book volume, we are fortunate to have the contributions of leading individuals worldwide in various sectors, such as organization AI implementation, business management innovation and data gathering using artificial intelligence.
Ai Powered Business Intelligence For Modern Organizations
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Author : Natarajan, Arul Kumar
language : en
Publisher: IGI Global
Release Date : 2024-10-01
Ai Powered Business Intelligence For Modern Organizations written by Natarajan, Arul 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 2024-10-01 with Computers categories.
Technology’s rapid advancement has revolutionized how organizations gather, analyze, and utilize data. In this dynamic landscape, integrating artificial intelligence (AI) into business intelligence (BI) systems has emerged as a critical factor for driving informed decision-making and maintaining competitive advantage. This integration allows business to respond quickly to market changes, personalize customer experiences, and optimize operations with greater precision. As AI-driven BI tools continue to evolve, they empower organizations to harness vast amounts of data more effectively, making strategic decisions that are both timely and data-driven, thereby securing their position in an increasingly competitive marketplace. AI-Powered Business Intelligence for Modern Organizations provides a comprehensive overview of this transformative intersection, addressing the diverse challenges, opportunities, and future trends in this field. By exploring the integration of AI into BI systems, the text delves into how advanced analytics, machine learning, and automation are reshaping the way businesses operate. Covering topics such as augmented analytics, decision-making, and sustainability metrics, this book is an excellent resource for business leaders and executives, data scientists and analysts, IT and technology managers, academicians, researchers, graduate and postgraduate students, consultants, industry experts, and more.
Ai Powered Leadership Transforming Organizations In The Digital Age
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Author : Baez, Maria D.
language : en
Publisher: IGI Global
Release Date : 2025-02-24
Ai Powered Leadership Transforming Organizations In The Digital Age written by Baez, Maria D. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-24 with Business & Economics categories.
The integration of artificial intelligence into leadership practices is revolutionizing how organizations operate in the digital age. By leveraging AI, leaders can make data-driven decisions, predict market trends, and personalize employee experiences, fostering innovation and efficiency. This transformation empowers organizations to navigate complex challenges, streamline operations, and maintain a competitive edge in rapidly evolving industries. However, the adoption of AI also raises important ethical considerations and requires leaders to balance technological advancements with human-centered values to build trust and inclusivity. This shift reshapes traditional leadership paradigms, emphasizing adaptability, strategic thinking, and collaboration between humans and AI systems. AI-Powered Leadership: Transforming Organizations in the Digital Age explores how AI is reshaping leadership by providing tools for data-driven decision-making, enhancing organizational efficiency, and fostering innovation in the digital age. It offers insights into balancing technological advancements with ethical leadership practices, equipping readers to navigate the complexities of AI-powered organizational transformation. Covering topics such as agile project management, employee wellness, and workplace bullying, this book is an excellent resource for organizational leaders, executives, managers, HR professionals, business strategists, students, researchers, and more.