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AI for Humanitarianism: Fostering Social Change Through Emerging Technologies
by Pooja Sharma Christian Kaunert Manju Khari Bhupinder Singh Narasimha Rao Vajjhala Anjana Sharma Adeyemi Abel Ajibesin Bashir Eseyin Abdullahi Taiwo Abiodun Jyoti Batra Murat Tahir Çaldağ Eriona Çela Neelatphal Chanda Philip Eappen Azubuike Erike Tarcízio Ferrão Ebru Gökalp Ishayu Gupta Radha Srinivasan Iyer Yusuf Kabir Kasum Munir Maharazu Kubau Devender Kumar Bashir Malgwi Yusuf Mshelia Yerzhan B. Mukashev Emeka Ogbuju Francisca Oladipo Edoghogho Olaye Bamidele Oluwade Rajasekhara Mouly Potluri Babatunde Dauda Raheem Md Mahfujur Rahman Santhosh Kumar Rajamani Selene Roldán Ruiz Arturo Roman Cesar Sanjuan Hussein Umar Samuel C. Avemaria Utulu Ayush Verma Abraham ZirraThis book explores the transformative potential of artificial intelligence (AI) in addressing critical humanitarian challenges. It examines AI’s role in enhancing emergency responses, poverty alleviation, and healthcare.Chapters authored by a diverse group of international contributors cover topics such as AI’s application in disease prediction, ethical AI practices, and innovative resource distribution. This book uniquely blends theoretical insights with practical case studies, providing a road map for leveraging AI in humanitarian efforts. Readers will benefit from detailed explorations of AI’s capabilities and challenges, gaining insights into how AI can drive social change and improve global humanitarian outcomes.Targeted at policymakers, researchers, practitioners, and anyone interested in the intersection of AI and humanitarianism, this book offers valuable perspectives on ensuring AI technologies are both advanced and ethically sound.
AI for Knowledge (AI for Everything)
by Mike Thelwall Andrew CoxAI for Knowledge explores the question of whether artificial intelligence (AI) is transforming knowledge access and creation for the good. AI is accelerating our access to knowledge through search, recommendation, summarisation, translation and a proliferating range of tools with AI built in. Generative AI is further changing how we use and create information at home and in the workplace. Yet AI also has a dark side with hallucination, bias and lack of explainability, as well as potential for harmful impacts on social equity and the environment.The book investigates how AI will impact everyday knowledge discovery, understanding and creation. It considers both the positive benefits and the many informational and ethical challenges, including the impact on our wider information culture. It then weighs up the impact on scholarship, in science, social science and the humanities and including the processes of scholarly communication. It explains the role of libraries and archives and how they could be enhanced using AI. It concludes by showing how governments can regulate AI to ensure social benefit and outlines what we as individuals need to know about AI.The book helps the reader see through some of the AI hype to understand much more clearly what are the issues around the impact of AI on knowledge access and creation, including the implications for environmental sustainability and the power of Big Tech. What emerges is a nuanced picture of potential benefit and risk, especially when we consider the experiences of those with less privileged access to the digital, particularly those outside the Global North.
AI for Life: 100+ Ways to Use Artificial Intelligence to Make Your Life Easier, More Productive…and More Fun!
by Celia QuillianDemystify the world of artificial intelligence with this groundbreaking guide featuring over 100 innovative ways to incorporate AI into your daily life.Every day, it seems like there&’s a new AI tool on the market and a new, complicated way to use it. But what if you could use AI to make your life easier without the complications? In AI for Life, AI expert and creator of @SmartWorkAI offers over 100 ideas and ready-to-use prompts to get AI beginners started using the technology to actually improve their lives. Beginning with a primer on the basics—including an overview of the popular and free AI tools—you will learn expert-tested tips and tricks to get the most out of your AI use, such as layering prompts to dive deeper into an initial response or asking for the output in different formats. Packed with practical how-to information, AI for Life is the must-have guide for using generative AI to make life easier, more productive, more organized, and more fun!
AI for Nonprofits: Putting Artificial Intelligence to Work for Your Cause
by Darian Rodriguez Heyman Cheryl ConteeA collection of actionable AI tools you can apply immediately to help your nonprofit drive social impact and change In AI for Nonprofits: Putting Artificial Intelligence to Work for Your Cause, a team of leading nonprofit experts and social entrepreneurs delivers a startlingly insightful, strategic “how-to guide” for nonprofit and foundation leaders, board members, and volunteers, as well as higher education professionals and social entrepreneurs looking to deploy and integrate artificial intelligence tailored to their organization's mission and needs. It's the leading reference guide for people who are entirely new to AI, as well as tech-savvy veterans with a deep understanding of artificial intelligence looking for proven, hands-on techniques they can apply immediately to transform their nonprofits. Each chapter is based on interviews conducted with 57 of the nonprofit industry's most innovative and reputed voices. Together, they provide the latest strategies and tactics for nonprofit generative AI and predictive analytics applications, skills and competencies needed to effectively use this new technology, tips, tools, best practices, resource reviews, and the most common pitfalls to avoid. AI for Nonprofits walks you through exactly how to strategically customize artificial intelligence to improve your fundraising and resource development efforts, marketing and community engagement, program delivery, and back-office operations. From human resources management to program strategy, social listening, and donor research, the book provides the on-the-ground techniques you need to deploy to transform your nonprofit's operations. Inside the book: Step-by-step frameworks and actionable roadmaps to help you implement AI for content creation, donor engagement, and developing personalized messages at scale How to protect your donors' privacy and data with policies and practices that comply with rapidly shifting legal and regulatory landscapes Cutting-edge research and practical case studies drawn from real-world situations that illustrate concrete AI applications Access to 100+ tools, platforms, and providers focused on helping nonprofits optimize their use of AI AI for Nonprofits explains how to supercharge your organization's fundraising pipeline, marketing and community engagement, program delivery, back-office operations, and governance policies. It's perfect for nonprofit executives, managers, professionals, and leaders, AI for Nonprofits will also earn a place in the libraries of anyone with an interest in using AI to power social impact and change.
AI for Research and Scalable, Efficient Systems: Second International Workshop, AI4Research 2025, and First International Workshop, SEAS 2025, Held in Conjunction with AAAI 2025, Philadelphia, PA, USA, February 25–March 4, 2025, Proceedings (Communications in Computer and Information Science #2533)
by Kuan-Chuan Peng Wenpeng Yin Qingyun Wang Abhishek Aich Yumin SuhThis book constitutes the proceedings of the Second International Workshop, AI4Research 2025, and First International Workshop, SEAS 2025, which were held in conjunction with AAAI 2025, Philadelphia, PA, USA, during February 25–March 4, 2025. AI4Research 2025 presented 8 full papers from 35 submissions. The papers covered diverse areas such as agent debate evaluation, taxonomy expansion, hypothesis generation, AI4Research benchmarks, caption generation, drug discovery, and financial auditing. SEAS 2025 accepted 7 full papers from 17 submissions. These papers explore the efficiency and scalability of AI models.
AI for Robotics: Toward Embodied and General Intelligence in the Physical World
by Alishba Imran Keerthana GopalakrishnanThis book approaches robotics from a deep learning perspective. Artificial intelligence (AI) has transformed many fields, including robotics. This book shows you how to reimagine decades-old robotics problems as AI problems and is a handbook for solving problems using modern techniques in an era of large foundation models. The book begins with an introduction to general-purpose robotics, how robots are modeled, and how physical intelligence relates to the movement of building artificial general intelligence, while giving you an overview of the current state of the field, its challenges, and where we are headed. The first half of this book delves into defining what the problems in robotics are, how to frame them as AI problems, and the details of how to solve them using modern AI techniques. First, we look at robot perception and sensing to understand how robots perceive their environment, and discuss convolutional networks and vision transformers to solve robotics problems such as segmentation, classification, and detection in two and three dimensions. The book then details how to apply large language and multimodal models for robotics, and how to adapt them to solve reasoning and robot control. Simulation, localization, and mapping and navigation are framed as deep learning problems and discussed with recent research. Lastly, the first part of this book discusses reinforcement learning and control and how robots learn via trial and error and self-play. The second part of this book is concerned with applications of robotics in specialized contexts. You will develop full stack knowledge by applying the techniques discussed in the first part to real-world use cases. Individual chapters discuss the details of building robots for self-driving, industrial manipulation, and humanoid robots. For each application, you will learn how to design these systems, the prevalent algorithms in research and industry, and how to assess trade-offs for performance and reliability. The book concludes with thoughts on operations, infrastructure, and safety for data-driven robotics, and outlooks for the future of robotics and machine learning. In summary, this book offers insights into cutting-edge machine learning techniques applied in robotics, along with the challenges encountered during their implementation and practical strategies for overcoming them. What You Will Learn Explore ML applications in robotics, covering perception, control, localization, planning, and end-to-end learning Delve into system design, and algorithmic and hardware considerations for building efficient ML-integrated robotics systems Discover robotics applications in self-driving, manufacturing, and humanoids and their practical implementations Understand how machine learning and robotics benefit current research and organizations Who This Book Is For Software and AI engineers eager to learn about robotics, seasoned robotics and mechanical engineers looking to stay at the cutting edge by integrating modern AI, and investors, executives or decision makers seeking insights into this dynamic field
AI for Rock Dynamics
by Manchao He Wei Yao LiGe Wang Wengang Dang Zhuo WangThis Open Access book covers various aspects in rock dynamics comprehensively, such as theoretical foundations, testing techniques, dynamic properties, stress wave propagation, rockburst dynamics, numerical simulation, and engineering applications. AI for Rock Dynamics is a groundbreaking Open Access monograph that redefines publishing through Luffa AI, a China-developed large language model (LLM). Set to captivate at the London Book Fair 2025, it marks a transformative milestone in rock mechanics and beyond. Covering theoretical foundations, testing instruments, numerical simulation, and engineering applications, it&’s an essential resource for professionals in civil engineering, mining, and geology alike. Its clear presentation, illustrations, and practical insights make it pivotal for tackling rock mechanics challenges. Unique for its homegrown LLM, it showcases Chinese AI&’s potential to advance research. As China&’s first LLM-powered book, it revolutionizes knowledge production, organization, and dissemination. This landmark was achieved through a strategic partnership between CNPIEC Kexin Technology, CSRME, and Springer Nature, unprecedentedly integrating cutting-edge technology, academic expertise, and global publishing prominence. Published as Open Access, it democratizes knowledge, fostering collaboration and innovation. The first of its kind signifies AI&’s potential to transform publishing, streamlining content creation and enhancing dissemination. AI for Rock Dynamics is a beacon of progress, uniting technology and academia to push knowledge boundaries with concerted efforts. Please Join us in celebrating this historic achievement and witness the dawn of AI-powered publishing.
AI for Small Business: From Marketing and Sales to HR and Operations, How to Employ the Power of Artificial Intelligence for Small Business Success (AI Advantage)
by Phil PallenAn essential guide for small business owners and entrepreneurs looking to use artificial intelligence to automate tasks, improve customer service, make better decisions, grow their businesses faster, and stay ahead of the AI curve.ChatGPT, machine learning, automation, natural language processing. Every day, it seems like there is a new AI term to learn and a new promise of how it will improve your work. But with tons of conflicting information, small business owners are left wondering exactly how to leverage AI technology to grow and, more importantly, stay competitive with larger companies. Cutting through the buzzwords and media frenzy, AI for Small Business is the road map to take you from overwhelmed to empowered. Opening with simple explanations of AI basics and clarification of myths, you are empowered to assess your goals to create a comprehensive AI strategy for your business—including information on selecting tools, a timeline for implementation, and ideas for scaling systems. This essential guide then walks you through practical AI applications for each department, informing you how to use AI to automate tasks, make better decisions, and grow your business in all areas including: -Sales -Marketing -Social media and content creation -Customer service -Finance and accounting -Operations and logistics -Human resources and talent management -Data analysis and decision-making -Security and legal compliance -R&D and innovation Author Phil Pallen is a brand strategist who uses his AI expertise to help hundreds of businesses scale and grow profits. In AI for Small Business, case studies from Pallen&’s successful clients illustrate how real small business owners are applying AI technology in various ways. Plus, ready-to-try prompt sidebars and specific product recommendations allow you to start employing the power of AI in real time.
AI for Understanding Human Conversations (AI for Everything)
by Yair NeumanArtificial intelligence (AI) and specifically large language models (LLMs) revolutionize our lives with new technologies appearing at an unprecedented rate. These technologies can potentially change how we understand human conversations, from the dialogues of married couples to diplomatic conversations.This book explains how to use LLMs to analyze human conversations and how better LLMs can be developed by incorporating a deep theoretical understanding.Drawing on case studies from Pulp Fiction to diplomatic meetings, the book provides detailed, approachable, and theoretically grounded explanations of how LLMs can help us understand conversations.
AI iQ for a Human-Focused Future: Strategy, Talent, and Culture (Chapman & Hall/CRC Artificial Intelligence and Robotics Series)
by Seth DobrinAI iQ for a Human-Focused Future: Strategy, Talent, and Culture offers a pioneering approach to integrating artificial intelligence (AI) and generative AI (GenAI) in business, emphasizing a business strategy first mindset over a technologycentric one.This book challenges the usual hype surrounding AI, advocating for a more realistic perspective. It delves into the evolution of AI, from traditional data science and machine learning to GenAI, all through the lens of strategic business application. Unlike other texts, this book moves away from case studies, favoring practical, real-world advice from extensive field experience. This book presents strategies for creating an environment that not only accepts but thrives on AI, focusing on strategic leadership, talent development, and inclusivity. It highlights crucial roles, such as the Chief AI Officer, and emphasizes the importance of diversity in AI teams. Uniquely, each chapter concludes with key takeaways, offering actionable steps, and implementation tips. This practical approach transforms theoretical concepts into actionable business strategies, providing leaders with the tools to apply AI initiatives effectively in their organizations.This book is more than an informative resource; it’s a practical toolkit for any business leader aiming to navigate the evolving landscape of AI and GenAI, ensuring their organization is prepared for sustainable growth and success in an AI-driven future.
AI in Agriculture for Sustainable and Economic Management (Artificial Intelligence for Sustainable Engineering and Management)
by Sirisha Potluri, Suneeta Satpathy, Santi Swarup Basa, and Antonio ZuorroThis 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.
AI in Banking: Practical Applications and Case Studies
by Min He Liyu Shao Qin ChenBig data and artificial intelligence (AI) cannot remain limited to academic theoretical research. It is crucial to utilize them in practical business scenarios, enabling cutting-edge technology to generate tangible value. This book delves into the application of AI from theory to practice, offering detailed insights into AI project design and code implementation across eleven business scenarios in four major sectors: retail banking, e-banking, bank credit, and tech operations. It provides hands-on examples of various technologies, including automatic machine learning, integrated learning, graph computation, recommendation systems, causal inference, generative adversarial networks, supervised learning, unsupervised learning, computer vision, reinforcement learning, fuzzy control, automatic control, speech recognition, semantic understanding, Bayesian networks, edge computing, and more. This book stands as a rare and practical guide to AI projects in the banking industry. By avoiding complex mathematical formulas and theoretical analyses, it uses plain language to illustrate how to apply AI technology in commercial banking business scenarios. With its strong readability and practical approach, this book enables readers to swiftly develop their own AI projects.
AI in Chemical Engineering: Unlocking the Power Within Data
by José A. Romagnoli Luis Briceño-Mena Vidhyadhar ManeeIndustry 4.0 is revolutionizing chemical manufacturing. Today's chemical companies are swiftly embracing the digital era, recognizing the significant benefits of interconnected products, production equipment, and personnel. As technology advances and production volumes grow, there is an increasing need for new computational tools and innovative solutions to address everyday challenges. AI in Chemical Engineering: Unlocking the Power Within Data introduces readers to the essential concepts of machine learning and their application in the chemical and process industries, aiming to enhance efficiency, adaptability, and profitability. This work delves into the transformation of traditional plant operations into integrated and intelligent systems, providing readers with a foundation for developing and understanding the tools necessary for data collection and analysis, thereby gaining valuable insights and practical applications. Introduces the principles and applications of unsupervised learning and discusses the role of machine learning in extracting information from plant data and transforming it into knowledge Conveys the concepts, principles, and applications of supervised learning, setting the stage for developing advanced monitoring systems, complex predictive models, and advanced computer vision applications Explores implementation of reinforced learning ideas for chemical process control and optimization, investigating various model structures and discussing their practical implementation in both simulation and experimental units Incorporates sample code examples in Python to illustrate key concepts Includes real-life case studies in the context of chemical engineering and covers a wide variety of chemical engineering applications from oil and gas to bioengineering and electrochemistry Clearly defines types of problems in chemical engineering subject to AI solutions and relates them to subfields of AI This practical text, designed for advanced chemical engineering students and industry practitioners, introduces concepts and theories in a logical and sequential manner. It serves as an essential resource, helping readers understand both current and emerging developments in this important and evolving field.
AI in Disease Detection: Advancements and Applications
by Rajesh Singh Anita Gehlot Navjot Rathour Shaik Vaseem AkramComprehensive resource encompassing recent developments, current use cases, and future opportunities for AI in disease detection AI in Disease Detection discusses the integration of artificial intelligence to revolutionize disease detection approaches, with case studies of AI in disease detection as well as insight into the opportunities and challenges of AI in healthcare as a whole. The book explores a wide range of individual AI components such as computer vision, natural language processing, and machine learning as well as the development and implementation of AI systems for efficient practices in data collection, model training, and clinical validation. This book assists readers in assessing big data in healthcare and determining the drawbacks and possibilities associated with the implementation of AI in disease detection; categorizing major applications of AI in disease detection such as cardiovascular disease detection, cancer diagnosis, neurodegenerative disease detection, and infectious disease control, as well as implementing distinct AI methods and algorithms with medical data including patient records and medical images, and understanding the ethical and social consequences of AI in disease detection such as confidentiality, bias, and accessibility to healthcare. Sample topics explored in AI in Disease Detection include: Legal implication of AI in healthcare, with approaches to ensure privacy and security of patients and their dataIdentification of new biomarkers for disease detection, prediction of disease outcomes, and customized treatment plans depending on patient characteristicsAI’s role in disease surveillance and outbreak detection, with case studies of its current usage in real-world scenariosClinical validation processes for AI disease detection models and how they can be validated for accuracy and effectiveness Delivering excellent coverage of the subject, AI in Disease Detection is an essential up-to-date reference for students, healthcare professionals, academics, and practitioners seeking to understand the possible applications of AI in disease detection and stay on the cutting edge of the most recent breakthroughs in the field.
AI in Drug Discovery: First International Workshop, AIDD 2024, Held in Conjunction with ICANN 2024, Lugano, Switzerland, September 19, 2024, Proceedings (Lecture Notes in Computer Science #14894)
by Igor V. Tetko Jürgen Schmidhuber Michael Wand Kristína Malinovská Djork-Arné ClevertThis open Access book constitutes the refereed proceedings of the First International Workshop on AI in Drug Discovery, AIDD 2024, held as a part of the 33rd International Conference on Artificial Neural Networks, ICANN 2024, in Lugano, Switzerland, on September 19, 2024. The 12 papers presented here were carefully reviewed and selected for these open access proceedings. These papers focus on various aspects of the rapidly evolving field of Artificial Intelligence (AI)-driven drug discovery in chemistry, including Big Data and advanced Machine Learning, eXplainable AI (XAI), Chemoinformatics, Use of deep learning to predict molecular properties, Modeling and prediction of chemical reaction data and Generative models.
AI in Education and Educational Research: First International Workshop, AIEER 2024, Santiago de Compostela, Spain, October 19–20, 2024 Proceedings (Communications in Computer and Information Science #2519)
by Oscar Fontenla-Romero Francisco BellasThis book constitutes the proceedings of the First International Workshop on AI in Education and Educational Research, AIEER 2024, held in Santiago de Compostela, Spain, during October 19–20, 2024. The 16 full papers presented in this volumes were carefully reviewed and selected from 23 submissions. They focus on various aspects on AI applications in educational settings, particularly emphasizing the integration of Large Language Models (LLMs) and explainable AI (XAI).
AI in Hospital Administration: Revolutionizing Healthcare
by David MhlangaAI in Hospital Administration: Revolutionizing Healthcare is a groundbreaking book that explores the transformative potential of artificial intelligence (AI) in hospital administration and its impact on revolutionizing healthcare. This book draws on existing academic literature and interdisciplinary research to provide a comprehensive overview of cutting-edge AI technologies and their applications in hospital administration. The book begins by highlighting the basics of AI. It moves to the challenges hospital administrators face, such as long wait times, inefficient scheduling, inaccurate forecasting, and suboptimal resource allocation. It emphasizes the need for effective management and decision-making strategies to optimize patient outcomes while ensuring efficient resource utilization. While AI has seen significant advancements in areas like medical imaging and clinical decision support systems, its role in hospital administration remains relatively understudied. This book aims to fill this gap by delving into the complexities of managing patient flow, optimizing resource allocation, ensuring effective staff scheduling, and implementing data-driven decision-making processes. It explores various AI-powered solutions, including machine learning, natural language processing, and predictive analytics, and their potential to alleviate these challenges. It also covers ethical considerations and potential barriers to AI adoption in healthcare, such as privacy concerns, data security, and the human-machine interface. The book includes real-world case studies and examples of successful AI implementations in hospital administration to provide practical insights. Doing so equips healthcare professionals, administrators, policymakers, and researchers with the knowledge and tools to leverage AI effectively, foster innovation, and drive positive change in healthcare organizations. In short, AI in Hospital Administration: Revolutionizing Healthcare addresses the gap in academic literature surrounding the role of AI in hospital administration. It comprehensively understands this domain's challenges, limitations, and opportunities, stimulating further research and promoting informed decision-making. The book envisions a future where AI plays a central role in transforming healthcare administration for the better.
AI in Marketing: Applications, Insights, and Analysis
by Hannah D. Walters Rachel M. HammondAI in Marketing equips students with the knowledge to understand the impact of Artificial Intelligence (AI) on marketing strategies, processes, and activities, empowering them to navigate the AI-driven marketing landscape confidently.Divided into four parts, it provides a comprehensive exploration of AI's transformative role in marketing. The first part lays the groundwork, offering foundational insights into the intersection of AI and marketing. Part II explores the various applications of AI in marketing, and the tools marketers use to optimize their processes and deliver enhanced customer experiences. The third part focuses on leveraging AI for consumer insights, enabling marketers to craft data-driven strategies. The final part examines ethical considerations and the pedagogical integration of AI into marketing education. Each chapter includes real-world examples, exercises, discussion questions, key terms, and AI resources, empowering students to develop practical skills and industry-relevant knowledge.Students studying in advanced undergraduate and postgraduate marketing courses will benefit greatly from this comprehensive textbook, preparing them for a future workplace that requires them to know how to use AI effectively, ethically, and responsibly.The book is fully supported by online resources, including an instructor manual and customizable PowerPoint slides.
AI in Material Science: Revolutionizing Construction in the Age of Industry 4.0
by Syed Saad Syed Ammad Kumeel RasheedThis book explores the transformative impact of artificial intelligence on material science and construction practices in the Industry 4.0 landscape. It enquires into AI history and applications, examining material optimization, smart materials, and AI in construction. Covering automation, robotics, and AI-assisted design, the book provides insights into ethical considerations and future trends. A modern reference for scholars and professionals, it bridges academia and practical applications in the dynamic intersection of AI and materials science.
AI in Urban Life: Perspective, Challenges, and Opportunities
by H. Patricia McKennaIn exploring artificial intelligence (AI) in urban life, this book brings together and extends thinking on how human-AI interactions are continuously evolving. Through such interactions, people are aided on the one hand, while becoming more aware of their own capabilities and potentials on the other hand, pertaining, for example, to creativity, human sensing, and collaboration. It is the particular focus of research questions developed in relation to awareness, smart cities, autonomy, privacy, transparency, theory, methods, practices, and collective intelligence, along with the wide range of perspectives and opportunities offered, that set this work apart from others. Conceptual frameworks are formulated for each of these areas to guide explorations and understandings in this work and going forward. A synthesis is provided in the final chapter for perspectives, challenges and opportunities, and conceptual frameworks for urban life in an era of AI, opening the way for evolving research and practice directions.
AI on the Edge with Security: Foundations and Practices
by Naresh Kumar Sehgal Manoj Saxena Dhaval N. ShahThis book provides readers with an overview of the next generation of Cloud computing with AI, evolving to minimize latency and address privacy/security concerns of many customers. This book will highlight the associated problems and propose new solutions for performing AI and ML at the edge of computing networks.
AI to A+
by Shanu ShahUnlock the true power of your AI-generated content with AI to A+. Packed with practical strategies and proven techniques, this book equips you with the tools to elevate your writing to new heights. Each chapter presents a carefully crafted rubric designed to transform your drafts into polished, compelling narratives.Whether you are a seasoned content creator or just beginning to explore the world of generative AI, this guide offers actionable insights to make your work stand out. With a handy checklist and key takeaways included, applying these principles becomes a seamless part of your writing routine.More than just a manual, AI to A+ is your strategic partner in mastering the art of AI content editing. So, start your journey towards content excellence today and discover how to make every word count.
AI, Analytics and Strategic Decision-Making (Routledge Studies in Innovation, Organizations and Technology)
by Ujwary-Gil, Edited by Anna Anna Florek-PaszkowskaAI, Analytics and Strategic Decision-Making is an insightful exploration into the transformative power of artificial intelligence and advanced analytics in business and policy contexts. This volume provides a unique blend of theoretical knowledge and practical applications, showcasing how AI and analytics are reshaping decision-making processes across multiple domains.From predicting high-growth firms using Random Forests to leveraging Large Language Models for process mining, this book offers an extensive look at the latest innovations in AI and their strategic implications. It explores diverse topics, including the role of knowledge management in Industry 4.0, AI-powered decision-making tools for individuals, and public policy-making through Internet Public Opinion Analysis. Each chapter provides a nuanced perspective on how AI and analytics tools—ranging from Social Network Analysis to agent-based modeling—can tackle real-world challenges, such as climate change, resource allocation, and productivity enhancement.AI, Analytics and Strategic Decision-Making will inspire entrepreneurs, policymakers, academics, and business strategists to think critically about the power of data-driven insights and AI technologies. This comprehensive resource dives into how innovative tools can foster informed decision-making, drive efficiency, and pave the way for strategic success in an increasingly complex world.
AI, Automation, and War: The Rise of a Military-Tech Complex
by Anthony KingWhy AI will not replace human strategic judgement in warIs AI about to automate war? Will autonomous drone swarms and killer robots controlled by AI dominate the battlespace and determine the winner? In AI, Automation, and War, Anthony King debunks this science fiction–tinged narrative of AI&’s military potential, exploring instead the actual applications of AI by the armed forces over the last decade. He finds that AI is not going to replace human commanders and combatants; the machines are not about to take over. Rather, the military has used, and will continue to use, AI to process data at a scale and speed that exceeds the capacity of humans. AI will be used primarily to improve military understanding and intelligence.King explains that military commanders, enabled by the data processing power of AI, will be able to see the battlespace at a previously unattainable depth, fidelity, and speed. AI will help the armed forces plan, target, and conduct cyber operations faster and more effectively. In order to harness AI in this way, however, a radical organisational transformation is taking place. The armed forces are integrating civilian technologists into operational headquarters to work alongside military staff. This partnership between the armed forces and the technology sector signals the emergence of a military-tech complex that promises to be as powerful in this century as the military-industrial complex was in the last.
AI, Blockchain, and Metaverse in Hospitality and Tourism Industry 4.0: Case Studies and Analysis
by Pushan Kumar Dutta Adel Ben Youssef Ruchi Doshi Manohar SajnaniThe book offers a critical exploration of the integration of AI, blockchain, and metaverse technology in the hospitality and tourism industry to investigate the potential of these technologies in revolutionizing the industry. This comprehensive work studies, with practical examples, how cutting-edge technologies of Industry 4.0 are transforming luxury industry into a high-touch, hyper-personalized metaverse. It explains how these technologies can be used to improve customer experience and operational efficiency in areas such as guest interaction, supply chain management, payment processing, and virtual stores. The book also discusses the conditions that can promote sustainable development in the hospitality industry using Industry 4.0 technologies. Provides an innovative perspective by blending high-tech trends like AI, blockchain, and metaverse with traditional wellness practices Emphasis on ethical considerations and potential risks associated with the use of these technologies, providing a balanced perspective on their impact Includes case studies and practical examples on how businesses can use AI, blockchain, and the metaverse to improve customer experiences and operational efficiency Explores how the hospitality industry can embrace Industry 4.0 technologies to improve its operations, enhance customer experiences, and contribute to sustainable development Provides a roadmap for companies looking to implement these technologies, highlighting potential benefits and pitfalls of each approach This reference book is for scholars and professionals in computer science who are interested in studying the effect of AI, blockchain, and metaverse in hospitality and tourism industry.