The intricate web of healthcare, sustainability, and legalities has never been more significant or complex. Bridging Health, Environment, and Legalities: A Holistic Approach embarks on an enlightening journey through these interwoven domains, exploring their relationships and their pivotal role in shaping global well-being. Not merely content with the surface, this book navigates the complex terrain of health equity and access to care, unveiling the role of social determinants of health and their legal implications. It critically examines sustainable medical innovations, scrutinizing the legal and regulatory challenges in adopting and implementing groundbreaking medical advancements. Intellectual property rights and ethical considerations in medical research are carefully dissected, offering guidance on promoting sustainable medical breakthroughs through policy and law.
Blockchain has become the cornerstone of technologies, supported by others including Big Data and Artificial Intelligence (AI). Originating from cryptocurrency, it transcends boundaries, finding resonance in finance, healthcare, e-governance, and beyond. While blockchain relies on a peer-to-peer approach, enabling nodes to collaborate without the shackles of a central authority, appropriate monitoring and updating of these technologies is a constant necessity. This is especially true for healthcare data systems, where data privacy and security concerns, especially with sensitive health information are paramount. Threads of automation in artificial intelligence (AI) weave through sectors such as business, finance, healthcare, marketing, and governance. Industrial Applications of Big Data, AI, and Blockchain delves into the pulsating realms of big data, AI, and blockchain. From natural language processing's eloquent interpretation of human language to the prowess of AI algorithms in predictive tasks, this book explores how AI enhances decision-making accuracy, catalyzing a paradigm shift in diverse industries. This book is ideal for researchers, business visionaries, tech enthusiasts, and curious minds eager to fathom the transformative potential of these technologies.
In an era marked by rapid technological progress, women's safety remains a pressing concern despite strides toward gender equality. Women continue to grapple with safety challenges in both public and private spaces, enduring harassment, violence, and discrimination driven by entrenched societal norms and modern complexities. Amidst these challenges, harnessing the potential of artificial intelligence (AI) emerges as a promising avenue to reshape the landscape of women's safety. The groundbreaking book, AI Tools and Applications for Women's Safety , curated by experts Sivaram Ponnusamy, Vibha Bora, Prema Daigavane, and Sampada Wazalwar, delves into the transformative power of AI to address the daily safety concerns women face. This timely volume explores innovative AI-driven resources and applications that redefine personal security, offering tailored protection through real-time threat assessment and emergency response coordination. With comprehensive insights spanning academia, law enforcement, policymaking, and advocacy, this book covers predictive safety analytics, smart surveillance, ethical considerations, and more. AI Tools and Applications for Women's Safety not only sheds light on the promise of AI but also paves the way for informed discourse and meaningful action, ushering in a future defined by women's empowerment and security.
The rapid adoption of deep learning models has resulted in many business services becoming model services, yet most AI systems lack the necessary automation and industrialization capabilities. This leads to heavy reliance on manual operation and maintenance, which not only consumes power but also causes resource wastage and stability issues during system mutations. The inadequate self-adaptation of AI systems poses significant challenges in terms of cost-effectiveness and operational stability. Principles and Applications of Adaptive Artificial Intelligence , edited by Zhihan Lv from Uppsala University, Sweden, offers a comprehensive solution to the self-adaptation problem in AI systems. It explores the latest concepts, technologies, and applications of Adaptive AI, equipping academic scholars and professionals with the necessary knowledge to overcome the challenges faced by traditional business logic transformed into model services. With its problem-solving approach, real-world case studies, and thorough analysis, the Handbook provides practitioners with practical ideas and solutions, while also serving as a valuable teaching material and reference guide for students and educators in AI-related disciplines. By emphasizing self-adaptation, continuous model iteration, and dynamic learning based on real-time feedback, the book empowers readers to significantly enhance the cost-effectiveness and operational stability of AI systems, making it an indispensable resource for researchers, professionals, and students seeking to revolutionize their research and applications in the field of Adaptive AI.
In today's world, sustainability is no longer just a buzzword; it is a fundamental concern for businesses seeking to thrive. Traditional marketing strategies often fall short of aligning with the values and expectations of today's socially conscious consumers. Marketers are grappling with the issue of reconciling traditional marketing with the demands of the modern, environmentally conscious consumers. The marketing landscape is rapidly evolving, and businesses are challenged to embrace sustainability while leveraging transformative digital technologies. Smart and Sustainable Interactive Marketing is designed to address this very challenge. This book recognizes this issue as the first step toward its resolution. It delves into the intricate dimensions and features of sustainable marketing, shedding light on how it can harmonize with the contemporary economy and the principles of sustainable development. The book identifies the need for transformation and integration of digital technologies, such as artificial intelligence, to bridge the gap between traditional marketing and sustainability.
Today's institutions of higher education must continuously adapt to meet the evolving needs and expectations of each new generation of students. A significant and growing presence within academia is the LGBTQIA community. LGBTQIA individuals are now four times more likely to attend higher education institutions away from home. However, a substantial proportion of these students remain unseen, with more than half avoiding exposure of their identity to faculty and staff, and in some cases even to their peers. Perspectives on Transforming Higher Education and the LGBTQIA Student Experience is a comprehensive academic exploration of the intricate world of LGBTQIA students in higher education. This book sheds light on the multifaceted challenges and complexities that LGBTQIA students face, transcending the boundaries of sexual orientation, gender identity, race, ethnicity, ability, and socio-economic class. This book is a seminal work designed to enlighten and inform students, faculty, student affairs practitioners, higher education administrators, and policymakers, and is structured to provide a holistic understanding, this book encompasses critical themes, including LGBTQIA student identity development, the intersectionality of identity, LGBTQIA student experiences within the campus climate, and the impact of laws and policies on their lives. This book also explores a diverse range of topics, spotlighting often under-researched and underrepresented communities and experiences.
When looking at academia and the job market, a persistent issue continues to cast a shadow over the future of graduates and the workforce alike. The problem at hand is the enduring divide between universities and employers, a chasm that often leaves graduates ill-prepared for the demands of the modern workplace. Academic scholars, career advisors, and graduate recruiters grapple with the challenge of equipping students with the skills and knowledge needed for sustainable career success. This divide not only impedes the career prospects of graduates but also leaves employers struggling to find the talent they need to thrive in a rapidly changing world. Strategic Opportunities for Bridging the University-Employer Divide offers a solution to a pressing problem. For academic scholars seeking innovative answers to this enduring challenge, this comprehensive guide marries theoretical insights with real-world applications, providing a roadmap to bridge the gap between education and employment.
As the global population continues to grow, the depletion of Earth's resources poses a significant challenge in ensuring food security for current and future generations. This book addresses this pressing issue by presenting innovative strategies and methods to reduce food loss, enhance production, identify alternative ingredients, and digitize the food system. It explores topics like the circular economy, cellular agriculture, artificial intelligence in food production, and novel sources of ingredients like microalgae and insects. Engineers play a pivotal role in translating ideas into tangible products and services that enhance human lives. Innovations in Engineering and Food Science is a comprehensive guide that explores the latest advancements, technologies, challenges, and solutions in the domains of engineering and food science. This book delves into the integration of cutting-edge technologies such as Artificial Intelligence (AI), Blockchain, Internet of Things (IoT), Quantum Computing, and Virtual and Augmented Reality, showcasing their potential to revolutionize the engineering landscape. With a focus on emerging technologies and practical solutions, this book serves as a valuable resource for researchers, students, academicians, and professionals in these fields.
Applications of Machine Learning in UAV Networks presents a pioneering exploration into the symbiotic relationship between machine learning techniques and UAVs. In an age where UAVs are revolutionizing sectors as diverse as agriculture, environmental preservation, security, and disaster response, this meticulously crafted volume offers an analysis of the manifold ways machine learning drives advancements in UAV network efficiency and efficacy. This book navigates through an expansive array of domains, each demarcating a pivotal application of machine learning in UAV networks. From the precision realm of agriculture and its dynamic role in yield prediction to the ecological sensitivity of biodiversity monitoring and habitat restoration, the contours of each domain are vividly etched. These explorations are not limited to the terrestrial sphere; rather, they extend to the pivotal aerial missions of wildlife conservation, forest fire monitoring, and security enhancement, where UAVs adorned with machine learning algorithms wield an instrumental role. Scholars and practitioners from fields as diverse as machine learning, UAV technology, robotics, and IoT networks will find themselves immersed in a confluence of interdisciplinary expertise. The book's pages cater equally to professionals entrenched in agriculture, environmental studies, disaster management, and beyond.
In the rapidly evolving landscape of industrial activities, artificial intelligence (AI) has emerged as a powerful force driving transformative change. Among its many applications, AI has proven to be instrumental in reducing processing costs associated with optimization challenges. The intersection of AI with optimization and multi-criteria decision making (MCDM) techniques has led to practical solutions in diverse fields such as manufacturing, transportation, finance, economics, and artificial intelligence. Using Traditional Design Methods to Enhance AI-Driven Decision Making delves into a wide array of topics related to optimization, decision-making, and their applications. Drawing on foundational contributions, system developments, and innovative techniques, the book explores the synergy between traditional design methods and AI-driven decision-making approaches. The book is ideal for higher education faculty and administrators, students of higher education, librarians, researchers, graduate students, and academicians. Contributors are invited to explore a wide range of topics, including the role of AI-driven decision-making in leadership, trends in AI-driven decision-making in Industry 5.0, applications in various industries such as manufacturing, transportation, healthcare, and banking services, as well as AI-driven optimization in mechanical engineering and materials.
Modern business dynamics are an intricate and strategic landscape that underpins organizational triumphs despite today's turbulent market. Those fervently exploring the symbiosis of theory and reality within the strategic realm of contemporary strategic management require a solid understanding of the concept, and they can now enhance this journey with Trends, Challenges, and Practices in Contemporary Strategic Management . This seminal work unfurls a tapestry of erudition, guiding its readers through the corridors of contemporary strategic management. Targeting a diverse readership encompassing academicians, researchers, students, and industry leaders, the book's scope is as expansive as its subject matter. For scholars and researchers, its pages unfold a treasure trove of contemporary strategic management theories, their evolution, and cutting-edge practices. Practitioners entrusted with steering strategic compasses will glean a pragmatic arsenal of insights and best practices, their leadership acumen fortified to navigate the most tempestuous waters of organizational strategy. Covering from disruptive innovation and strategic leadership in a digital epoch to sustainability, global strategy, and the pivotal role of artificial intelligence in shaping strategies, this book mirrors the ever-evolving cadence of contemporary strategic management.
Rapid digital transformation is forcing the manufacturing industry to drastically alter its current trajectory for future success. The remarkable convergence of digitalization and manufacturing is reshaping industries, ushering in an era known as Industry 5.0. This revolutionary transition has given birth to digital manufacturing and smart factories, heralding a new dawn in the way we produce goods. The amalgamation of artificial intelligence (AI), robotics, the internet of things (IoT), augmented reality (AR), virtual reality (VR), big data analytics, cloud computing, and additive manufacturing stands poised to unlock unprecedented avenues in the realm of production. Practitioners, researchers, dreamers, and pioneers all are beckoned to explore the uncharted territories of digital innovation in manufacturing. Emerging Technologies in Digital Manufacturing and Smart Factories spans domains from mechanical and electrical engineering to computer science, from industrial economics to business strategy, and this book addresses this diverse audience. The book embarks on a comprehensive voyage, unveiling the latest evolutions and nascent trends within digital manufacturing and smart factories. From inception to execution, from design optimization to predictive maintenance, every phase of the manufacturing lifecycle is scrutinized through the lens of cutting-edge technologies. Rather than relying exclusively on the theoretical realm, this book also ventures into the crucible of real-world application, offering practical insights drawn from varied industries, including automotive, aerospace, and pharmaceuticals.
In the modern healthcare system, a pervasive problem takes new shape as cyberbullying. Healthcare professionals, those dedicated to caring for the well-being of others, are increasingly falling victim to online harassment, intimidation, and harmful behavior. This corrosive issue disrupts team dynamics, undermines workplace culture, and poses severe psychological and emotional consequences for its targets. Academic scholars and healthcare decision-makers must grapple with the pressing need to address this burgeoning crisis. Workplace Cyberbullying and Behavior in Health Professions is a comprehensive and meticulously researched book that presents itself as the definitive solution to the ever-growing challenge of cyberbullying within healthcare. This book is aimed at postgraduate and post-doctorate researchers as well as policymakers, providing a solid foundation for understanding, addressing, and ultimately eliminating cyberbullying in healthcare environments.
Organizations find themselves at a pivotal crossroads in an era propelled by the sweeping tide of digital transformation, where the wake of the COVID-19 pandemic has reshaped the global landscape. Within these novel contexts, the imperative to cultivate Learning Organizations (LOs) has emerged as a beacon of adaptability and progress. Creating Learning Organizations Through Digital Transformation weaves the fabric of LOs within the digital tapestry, where minds perpetually expand, and learning begets learning. This journey hinges on the synergy of knowledge and digital prowess, as LOs harness data and digital content with finesse. From immersive learning to artificial intelligence, these technological frontiers reshape learning, spurring change. Unveiling the core concepts, implementations, and global impacts of LOs, this book is a compass for academics, researchers, and practitioners. It deciphers people capacities, digital contents, learning technologies, and evaluation, nurturing the symbiotic relationship between learning and transformation.
Within academic circles, there is a longstanding issue concerning the portrayal and understanding of African womanhood. Frequently, these narratives are crafted by outsiders, predominantly Western scholars, often distorting the lived experiences and unique perspectives of African women. This has led to a skewed and sometimes negative perception of African women, reinforcing stereotypes, and sidelining their voices in critical discussions. Moreover, this misrepresentation has real-world consequences, as it impacts social justice initiatives and development projects that rely on misguided narratives rather than the authentic voices of African women. African Womanhood and the Feminist Agenda emerges as an essential solution to the misrepresentation of African women. This comprehensive and meticulously researched book offers an alternative narrative, one that is rooted in African perspectives and experiences. It addresses the historical, cultural, and political dimensions of African womanhood, providing a rich and nuanced understanding of this multifaceted topic.
Today's institutions of higher education must continuously adapt to meet the evolving needs and expectations of each new generation of students. The LGBTQIA community's presence in academia is significant and continues to grow. The individuals who identify with this community are four times more likely to attend higher education institutions away from home. However, a substantial proportion of these students remain unseen, with more than half avoiding exposure of their identity to faculty and staff, and in some cases even to their peers. LGBTQIA Students in Higher Education: Approaches to Student Identity and Policy is a comprehensive academic exploration of the intricate world of LGBTQIA students in higher education. This book sheds light on the multifaceted challenges and complexities that LGBTQIA students face, transcending the boundaries of sexual orientation, gender identity, race, ethnicity, ability, and socio-economic class.
As the interplay of environmental, social, and governance factors becomes increasingly crucial, the global business landscape faces a monumental challenge. Climate change, social inequities, and economic uncertainties loom large, demanding immediate attention. The integration of Environmental Social Governance (ESG) principles and Artificial Intelligence (AI) technologies emerges as a powerful solution to these challenges. However, navigating the complexities of this integration, understanding its implications, and harnessing its full potential is a formidable task. Academic scholars, policymakers, and practitioners are grappling with a critical question: How can we leverage the convergence of ESG and AI to drive sustainable practices and address pressing global issues? The answer lies in comprehending the multifaceted dimensions of this integration, its ethical considerations, and its transformative potential. To gain these insights, a comprehensive resource is needed, one that offers a deep dive into ESG-AI integration, delving into empirical research, practical applications, and ethical concerns. Intersecting Environmental Social Governance and AI for Business Sustainability is a book that answers the call to action for this pressing challenge with an in-depth exploration of the evolving field of ESG and AI integration.
Rapid digital transformation is forcing the manufacturing industry to drastically alter its current trajectory for future success. The remarkable convergence of digitalization and manufacturing is reshaping industries, ushering in an era known as Industry 5.0. This revolutionary transition has given birth to digital manufacturing and smart factories, heralding a new dawn in the way we produce goods. The amalgamation of artificial intelligence (AI), robotics, the internet of things (IoT), augmented reality (AR), virtual reality (VR), big data analytics, cloud computing, and additive manufacturing stands poised to unlock unprecedented avenues in the realm of production. Practitioners, researchers, dreamers, and pioneers all are beckoned to explore the uncharted territories of digital innovation in manufacturing. Human-Centered Approaches in Industry 5.0: Human-Machine Interaction, Virtual Reality Training, and Customer Sentiment Analysis spans domains from mechanical and electrical engineering to computer science, from industrial economics to business strategy, and this book addresses this diverse audience. The book embarks on a comprehensive voyage, unveiling the latest evolutions and nascent trends within digital manufacturing and smart factories. From inception to execution, from design optimization to predictive maintenance, every phase of the manufacturing lifecycle is scrutinized through the lens of cutting-edge technologies. Rather than relying exclusively on the theoretical realm, this book also ventures into the crucible of real-world application, offering practical insights drawn from varied industries, including automotive, aerospace, and pharmaceuticals.
In a world experiencing increasingly intense hydrometeorological events driven by climate change, the need for effective solutions is paramount. Modeling and Monitoring Extreme Hydrometeorological Events presents a cutting-edge exploration of the challenges posed by flash droughts and floods, offering innovative methodologies and tools to address these global issues. Through a combination of computer modeling, remote sensing, artificial intelligence, and case studies, this book provides a comprehensive framework for understanding and mitigating the impacts of extreme hydrometeorological events. It examines the rapid emergence of flash droughts, which bring devastating consequences to agriculture, water resources, ecosystems, and public health. The book also delves into the complex dynamics of flash floods, exploring their causes, impacts, and potential solutions. With a focus on water management, the book addresses knowledge gaps, provides adaptation and mitigation strategies, and emphasizes the importance of climate change considerations. It aims to empower scientists, policymakers, professionals, and educators to develop effective policies and decision-making frameworks to combat the increasing risks posed by extreme hydrometeorological events. Written by a diverse team of experts in hydrology, hydrometeorology, emergency management, civil engineering, and related fields, this book offers valuable insights and practical tools for researchers, professors, graduate students, policymakers, and professionals.
The complexity of managing and modeling various systems, from social networks to educational institutions and technical systems, has reached unprecedented levels. Traditional approaches struggle to keep pace with the dynamic nature of these challenges, leaving scholars, educators, and professionals searching for innovative solutions. This growing problem calls for a comprehensive guide to harnessing the potential of digital technologies for effective modeling and management. Educational Perspectives on Digital Technologies in Modeling and Management is a groundbreaking book that addresses the pressing need for modern solutions to keep up with the evolving challenges of modeling systems. This research book emerges from the collaborative efforts of teaching staff from leading universities, and years of dedicated scientific research and experimentation. It focuses on modeling complex systems using digital technologies, presenting fresh insights and innovative methodologies for academics, scholars, and aspiring professionals who are delving into the world of digitalization of economic processes and their management. The text caters to the specific needs of educators, IT professionals, and business analysts. Covering a wide array of topics, from information security to speaker verification and turbulent gas flow, this book serves as a valuable resource for a diverse audience seeking to excel in their respective fields.
The world is confronting the reality of climate change, which transcends geographical boundaries, necessitating a multidisciplinary approach. Effective mitigation strategies for climate change demand diversity, inclusion, equity, and collaboration as paramount considerations in the formulation and execution of mitigation strategies. Global Perspectives on Climate Change, Social Resilience, and Social Inclusion illuminates the interplay between climate shifts and society's complex tapestry. Authored by leading sociologists and interdisciplinary scholars, this researched volume offers an exploration of climate change through the lens of sociology, unveiling its implications for our global community. Moreover, the book spotlights the proactive voices of voluntary associations and activists dedicated to championing climate change victims' rights. Their collective message resonates throughout: mitigating climate change risks must be integrated into a broader framework of resilient development, elevating the economic standing and quality of life for disadvantaged groups while fostering equity across all strata of society. This book is ideal for scholars, policymakers, and activists seeking a nuanced understanding of the intricate interplay between climate change and the social fabric of our world.
The COVID-19 pandemic brought about a sudden transition from traditional face-to-face instruction to online and blended learning. The repercussions of this seismic change have left an indelible mark on students, particularly those thrust into the challenging realm of fully engaging in online learning during this tumultuous period. As we navigate the delicate landscape of higher education post-pandemic, a critical gap in scholarly literature becomes glaringly apparent; there is a scarcity of focused works addressing the nuanced well-being of students in this new academic reality. Mental Health Crisis in Higher Education is a groundbreaking book that boldly steps into this void, offering a comprehensive and meticulously researched examination of the challenges faced by students transitioning from secondary to higher education amid the pandemic. By delving into stressors, coping mechanisms, and the intricate web of factors influencing emotional, psychological, and physical well-being, the book is an invaluable resource for academics, researchers, and institutions seeking to understand and address the multifaceted dimensions of student well-being.
The convergence of quantum technologies and biomedical intelligence is a frontier of boundless potential. The quantum advancements revolutionize disease detection, personalized medicine, and health monitoring frameworks while confronting the pressing challenge of accountability in machine learning systems within the biomedical domain. How do quantum innovations at the nexus of biomedical intelligence redefine biomedical research and healthcare, addressing critical inquiries such as the transformative potential of quantum computing, machine learning, and sensing technologies? Quantum Innovations at the Nexus of Biomedical Intelligence explores the intricate synergy between quantum mechanics and the biomedical domain. This book elucidates the profound implications and applications arising from the fusion of quantum computing, artificial intelligence, and biomedical sciences. This book introduces biomedical engineering, setting the stage for a deep dive into the transformative role of quantum computing and artificial intelligence. As the narrative unfolds, the text navigates the reader through the uncharted territories of quantum-enhanced machine learning, quantum sensing and their profound impact on diagnostics, personalized medicine, and health monitoring frameworks. The intersection of quantum computing and AI in medical advancements and cybersecurity is illuminated, offering a comprehensive understanding of the multifaceted applications of these cutting-edge technologies. This book is ideal for researchers, scientists, academics, and professionals across diverse disciplines in quantum innovations within biomedical intelligence.
In the realm of Islamic finance, a pivotal challenge looms-the escalating complexity of investment decisions, macroeconomic analyses, and credit evaluations. In response, we present a groundbreaking solution that resonates with the rapidly evolving fintech era. Fintech Applications in Islamic Finance: AI, Machine Learning, and Blockchain Techniques offers a compelling repository of knowledge, meticulously curated by renowned editors Mohammad Irfan, Seifedine Kadry, Muhammad Sharif, and Habib Ullah Khan. Fintech Applications in Islamic Finance: AI, Machine Learning, and Blockchain Techniques is a call to action, an exploration of innovation, and a guide for both academia and industry. In an era where AI, ML, and blockchain reshape finance, this book stands as a beacon of knowledge, ushering Islamic finance into a realm of unprecedented efficiency and insight. As we invite readers to embark on this transformative journey, we illuminate the path to a future where technology and tradition converge harmoniously.
In today's developing view of education, a disquieting trend looms-the erosion of students' right to choose what they read. This erosion, fueled by an alarming surge in censorship attempts, casts a shadow over the very essence of intellectual exploration. Recent years have witnessed an unprecedented number of challenges aimed at restricting access to books, targeting themes that embrace human diversity, inclusivity, and the tapestry of life itself. As educators, administrators, and scholars grapple with this critical juncture, Supporting Students' Intellectual Freedom in Schools: The Right to Read serves as a comprehensive resource they can turn to for support and knowledge. This book is a call to action, resonating with teachers, school librarians, administrators, and scholars who refuse to let censorship erode the foundations of education. As censorship attempts proliferate, its chapters offer fortification, providing educators at all levels with the tools to safeguard students' intellectual freedom. From the hallowed halls of academia to the vibrant classrooms of K-12, the insights within these pages shape curricula, conversations, and a collective commitment to nurturing minds that thrive on diversity and inquiry. In a world clamoring for unwavering advocates of intellectual freedom, Supporting Students' Intellectual Freedom in Schools is not just a solution-it is a declaration of resolute solidarity in the pursuit of knowledge and the unassailable right to read.
In an age marked by unparalleled industrialization and technological strides, intricate energy challenges reverberate through economies, societies, and international relations. The world's dependence on fossil fuels and delicate energy supply chains lays bare the vulnerability to imminent energy crises, carrying extensive economic, social, and geopolitical implications. Analyzing Energy Crises and the Impact of Country Policies on the World steps in as a vital resource, meticulously navigating historical contexts, current crises, and policy-driven influences shaping the energy panorama. This book empowers policymakers, researchers, stakeholders, and students, fostering a profound comprehension of energy dynamics. It unveils the origins of crises, scrutinizes vulnerabilities across supply and demand, and underscores the pivotal role played by major energy stakeholders in shaping global markets. Ultimately, the book offers a guiding light to decision-makers, illuminating proactive strategies and urging transformative solutions to steer the world toward an energy future that is both secure and sustainable.
"This book will examine the various digital technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and Blockchain and their applications in the service sector to promote economic growth, create new job opportunities, and improve access to essential services such as education, healthcare, and financial services"--
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