Transparency In Ai Assisted Management Decisions
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Transparency In Ai Assisted Management Decisions
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Author : Jamal, Abdelfattah
language : en
Publisher: IGI Global
Release Date : 2025-06-25
Transparency In Ai Assisted Management Decisions written by Jamal, Abdelfattah and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-25 with Business & Economics categories.
The integration of artificial intelligence (AI) into organizational processes is reshaping how decisions are made, driving innovation, efficiency, and strategic adaptability. By leveraging large-scale data analysis, AI systems enhance decision-making across sectors, from operations to human resource management. However, this transformation also raises critical concerns around transparency, ethics, and social accountability, especially in areas involving high-stakes outcomes. Addressing these challenges is essential to ensure that AI-supported management practices are not only effective but also fair, trustworthy, and aligned with broader societal values. Transparency in AI-Assisted Management Decisions explores how AI supports management decisions and assesses the transparency of these decisions. It analyzes the role of transparency in the integration of AI systems into decision-making processes while examining its impact on trust and accountability. Covering topics such as employee behavior, human resource management, and telework management, this book is an excellent resourced for practitioners, business leaders, academicians, researchers, and more.
Artificial Intelligence Ai In Cell And Genetic Engineering
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Author : Sudip Mandal
language : en
Publisher: Springer Nature
Release Date : 2025-06-24
Artificial Intelligence Ai In Cell And Genetic Engineering written by Sudip Mandal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-24 with Technology & Engineering categories.
This volume focuses on how different artificial intelligence (AI) techniques like Artificial Neural Network, Support Vector Machine, Random Forest, k-means Clustering, Rough Set Theory, and Convolutional Neural Network models are used in areas of cell and genetic engineering. The chapters this book cover a variety of topics such as molecular modelling in drug discovery, design of precision medicine, protein structure prediction, and analysis using AI. Readers can also learn about AI-based biomolecular spectroscopy, cell culture-system, AI-based drug discovery, and next generation sequencing. The book also discusses the application of AI in analysis of genetic diseases such as finding genetic insights of oral and maxillofacial cancer, early screening and diagnosis of autism, and classification of breast cancer microarray data. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and thorough, Artificial Intelligence (AI) in Cell and Genetic Engineering is a valuable resource for readers in various research communities who want to learn more about the real-life application of artificial intelligence and machine learning in systems biology, biotechnology, bioinformatics, and health-informatics especially in the field of cell and genetic engineering.
Enterprise Design Operations And Computing Edoc 2024 Workshops
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Author : Monika Kaczmarek-Heß
language : en
Publisher: Springer Nature
Release Date : 2025-02-08
Enterprise Design Operations And Computing Edoc 2024 Workshops written by Monika Kaczmarek-Heß and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-08 with Business & Economics categories.
This volume constitutes revised selected papers of two workshops, the Doctoral Consortium, the Joint CBI-EDOC Forum and and other Joint CBI-EDOC event, which were held in conjunction with the 28th International Conference on Enterprise Design, Operations, and Computing, EDOC 2024, in Vienna, Austria, in September 10–13, 2024. The presented revised full papers in this book were carefully reviewed and selected. They stem from the following satellite events: iRESEARCH – 2nd International Workshop on Empirical Methodologies for Research in Enterprise Architecture and Service-oriented Computing MIDas4CS – 2nd Workshop on the Modelling and Implementation of Digital Twins for Complex Systems Joint CBI–EDOC Forum Joint CBI–EDOC Case Reports Track Joint CBI–EDOC Tools & Demos Track EDOC Doctoral Consortium CBI Mini Dagstuhl Seminars
Smart Water Technology For Sustainable Management In Modern Cities
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Author : Ruiz-Vanoye, Jorge A.
language : en
Publisher: IGI Global
Release Date : 2025-02-18
Smart Water Technology For Sustainable Management In Modern Cities written by Ruiz-Vanoye, Jorge A. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-18 with Technology & Engineering categories.
With growing populations and the pressures of climate change, cities face significant challenges in maintaining sustainable water systems. Smart water technologies, including sensors, data analytics, and automated systems, enable real-time monitoring and efficient management of water resources, reducing waste and improving infrastructure. These innovations help improve water quality and availability while supporting efforts to minimize environmental impact and improve urban sustainability. As cities expand, the adoption of smart water technology is crucial for a reliable, sustainable, and equitable water supply. Smart Water Technology for Sustainable Management in Modern Cities examines the convergence of artificial intelligence (AI) and smart water technologies in the context of smart cities. It explores how AI is transforming water management to address challenges such as efficiency, sustainability, climate change resilience and optimizing water use in urban environments. This book covers topics such as wastewater treatment, precision agriculture, and smart cities, and is a useful resource for environmental scientists, urban developers, engineers, computer scientists, academicians, and researchers.
Artificial Intelligence In Government
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Author : Rodrigo Sandoval-Almazán
language : en
Publisher: Springer Nature
Release Date : 2025-06-18
Artificial Intelligence In Government written by Rodrigo Sandoval-Almazán and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-18 with Political Science categories.
This edited volume discusses the challenges of digital transformation in Latin America, specifically regarding the use of AI for government management in the public sector. This book brings together leading scholars and practitioners from the region to address the legal and regulatory frameworks needed to introduce AI into government processes, as well as the infrastructure requirements for successful implementation. It explores potential resistance from public officials towards technology adoption and ways to overcome it. Moreover, the book considers the digital divide that exists within Latin American societies, which may hinder access to AI tools for some citizens. It also discusses ethical considerations related to AI use in government processes, such as privacy concerns and algorithmic bias. Providing a comprehensive understanding of the challenges and opportunities that AI presents for Latin American governments, this volume will be of use to students and scholars interested in governance, public management, AI, and Latin American studies.
Ai Augmented Manager
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Author : HEBooks
language : en
Publisher: Hebooks
Release Date :
Ai Augmented Manager written by HEBooks and has been published by Hebooks this book supported file pdf, txt, epub, kindle and other format this book has been release on with Antiques & Collectibles categories.
What if you could eliminate the chaos of constant context-switching, stop playing catch-up with missed deadlines, and finally get ahead of risks before they derail your project? You're not just managing tasks—you're leading people, navigating uncertainty, and delivering results in a world that moves faster than ever. But the tools you’re using were built for a different era. That’s why burnout is rising , deadlines are slipping , and teams feel overwhelmed—not because they lack skill, but because they lack support. AI-Augmented Manager reveals how top-performing project leaders are using artificial intelligence not to replace their expertise, but to amplify it. Inside, you’ll discover: How AI automates the grind —from status updates to scheduling—so you can lead instead of chase. The predictive power of machine learning that helps you spot risks weeks in advance. Real-world strategies to prioritize like a pro , optimize resources, and make smarter decisions—faster. How to future-proof your career by positioning yourself as a leader who doesn’t just keep up with change… she drives it. No coding. No jargon. Just practical, actionable steps to turn AI from a buzzword into your secret weapon. If you're ready to move beyond overwhelm and step into smarter leadership, sharper execution, and deeper impact , this book is your guide. Because the future isn’t coming—it’s already here. And the most successful managers aren’t resisting AI… They’re using it to lead with confidence, clarity, and control. Are you?
Ai In Agriculture For Sustainable And Economic Management
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Author : Sirisha Potluri
language : en
Publisher: CRC Press
Release Date : 2024-08-01
Ai In Agriculture For Sustainable And Economic Management written by Sirisha Potluri and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-01 with Computers categories.
This book explains the best practices and their respective outcomes in artificial intelligence (AI) to meet sustainable development goals and demands. It examines the practices, technologies, and innovations at the core of various research issues to meet the sustainable development demands in agriculture to balance social, economic, and environmental sustainability with AI. AI in Agriculture for Sustainable and Economic Management discusses AI-driven nanotechnology approaches for precision agriculture and solutions for the optimization of farming resources and their management. The authors examine the impact of AI in agriculture and how technology-driven sustainable farming with smart waste-water treatment for zero waste for the circular economy can extend crop shelf-life. It discusses how AI expertise can be advantageous to envisage and evaluate the increasing demands of productivity, and to help to maintain ecosystems and strengthen the capacity for crop adaptation in response to drastic changes in climate and weather, natural disasters, and other significant factors. These findings and practices are also useful to emphasize how an agricultural ecosystem can be advanced and industrialized so that it can aid not only large commercial farms but also smaller farmlands. Finally, it also discusses how AI practices will help to find a balance between the volume of food manufactured and the proper maintenance of the ecosystem. This book is intended for researchers and upper graduate students interested in artificial intelligence in agricultural engineering, AI advances in crop science and technology for sustainable development.
Human Centered Ai At Work Common Ground In Theories And Methods
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Author : Annette Kluge
language : en
Publisher: Frontiers Media SA
Release Date : 2024-04-26
Human Centered Ai At Work Common Ground In Theories And Methods written by Annette Kluge and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-26 with Science categories.
Research can face artificial intelligence (AI) as an issue of technology development but also as an issue of enacted technology at work. Human-centered design of AI gives emphasis to the expertise and needs of human beings as a starting point of technology development or as an outcome of AI-based work settings. This is an important goal, as expressed, for example, by the international labor organization's call for a "human-centered agenda" for the future of AI and automation collaboration. This Research Topic raises the question of what human-centricity means, i.e. what are the criteria and indicators of human-centered AI and how can they be considered and implemented?
Artificial Intelligence And Social Computing
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Author : Tareq Z. Ahram
language : en
Publisher: AHFE International
Release Date : 2025-07-26
Artificial Intelligence And Social Computing written by Tareq Z. Ahram and has been published by AHFE International this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-26 with Technology & Engineering categories.
Data Management Strategy At Microsoft
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Author : Aleksejs Plotnikovs
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-07-19
Data Management Strategy At Microsoft written by Aleksejs Plotnikovs and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-19 with Computers categories.
Leverage your data as a business asset, from readiness to actionable insights, and drive exceptional performance Key Features Learn strategies to create a data-driven culture and align data initiatives with business goals Navigate the ever-evolving business landscape with a modern data platform and unique Data IP Surpass competitors by harnessing the true value of data and fostering data literacy in your organization Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMicrosoft pioneered data innovation and investment ahead of many in the industry, setting a remarkable standard for data maturity. Written by a data leader with over 15 years of experience following Microsoft’s data journey, this book delves into every crucial aspect of this journey, including change management, aligning with business needs, enhancing data value, and cultivating a data-driven culture. This book emphasizes that success in a data-driven enterprise goes beyond relying solely on modern technology and highlights the importance of prioritizing genuine business needs to propel necessary modernizations through change management practices. You’ll see how data-driven innovation does not solely reside within central IT engineering teams but also among the data's business owners who rely on data daily for their operational needs. This guide empower these professionals with clean, easily discoverable, and business-ready data, marking a significant breakthrough in how data is perceived and utilized throughout an enterprise. You’ll also discover advanced techniques to nurture the value of data as unique intellectual property, and differentiate your organization with the power of data. Its storytelling approach and summary of essential insights at the end of each chapter make this book invaluable for business and data leaders to advocate for crucial data investments.What you will learn Develop a data-driven roadmap to achieve significant and quantifiable business goals Discover the ties between data management and change management Explore the data maturity curve with essential technology investments Build, safeguard, and amplify your organization's unique Data Intellectual Property Equip business leaders with trustworthy and high value data for informed decision-making Unleash the value of data management and data governance to uplift your data investments Who this book is for This book is for data leaders, CDOs, CDAOs, data practitioners, data stewards, and enthusiasts, as well as modern business leaders intrigued by the transformative potential of data. While a technical background isn't essential, a basic understanding of data management and quality concepts will be helpful. The book avoids twisted technical, engineering, or data science aspects, making it accessible and insightful for data engineers and data scientists to gain a wider understanding of enterprise data needs and challenges.