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From Digital Disruption to Dominance
From Digital Disruption to Dominance: Leveraging FinTech Applications for Sustainable Growth is a timely exploration into FinTech applications and their transformative power in the business realm, offering clear understanding of how these tools not only disrupt but also offer pathways to dominance in various market segments.
Technological Innovations for Business, Education and Sustainability
Fulfilling a growing need for aligning business strategy and educational curriculums with the evolving skills required for business workplaces, this book presents a thorough understanding of how business, education and technology can enable current and future leaders to contribute positively to digital transformation across the globe.
Artificial Intelligence, Digitalization and Regulation
This edited volume explores the relationship between Artificial intelligence (AI), business performance, and regulation. Artificial intelligence allows entrepreneurs to create universally transferable platforms and customers to find the offer they want. Indeed, AI is an excellent tool for competitiveness and innovation. It can contribute to a positive business performance by reducing costs, analyzing and exploiting data, optimizing marketing strategy and advertising targeting, and improving the customer experience. However, Artificial intelligence can also generate threats such as disinformation, manipulation, and false content. Companies are increasingly becoming obliged to take security measures to protect digital data against cyber-attacks and data leaks. This volume presents concepts and solutions for companies aiming not only to benefit from the newest technological developments in AI but also interested in tackling the challenges that come with the use of these technologies.
Global Economic Revolutions
This book constitutes the revised and selected papers of the International Conference on Global Economic Revolutions (ICGER 2023) held in Sharjah City, United Arab Emirates, during February 27-28, 2023. The 18 papers included in this book were thoroughly reviewed and selected from the 105 submissions. The papers focus on topics related to data science and data centers, machine learning, sustainable technologies for a green economy, metaverse in the healthcare education, Predictive Model Analytics using Data mining and Machine learning, blockchain adoption and acceptance, Narrow Band Internet of Things, and enhanced Bubble Sorting Visualizer.
Embedded Artificial Intelligence
This book explores the role of embedded AI in revolutionizing industries such as healthcare, transportation, manufacturing, and retail. It begins by introducing the fundamentals of AI and embedded systems and specific challenges and opportunities. A key focus of this book is developing efficient and effective algorithms and models for embedded AI systems, as embedded systems have limited processing power, memory, and storage. It discusses a variety of techniques for optimizing algorithms and models for embedded systems, including hardware acceleration, model compression, and quantization. Key features: • Explores security experiments in emerging post‐CMOS technologies using AI, including...
Business Analytical Capabilities and Artificial Intelligence-enabled Analytics: Applications and Challenges in the Digital Era, Volume 2
Zusammenfassung: This book explores and discusses how businesses transit from big data and business analytics to artificial intelligence (AI), by examining advanced technologies and embracing challenges such as ethical issues, governance, security, privacy, and interoperability of capabilities. This book covers a range of topics including the application of cyber accounting and strategic objectives, financial inclusion, big data analytics in telecommunication sector, digital marketing strategies and sports brand loyalty, robotic processes automation in banks, and the applications of AI for decision-making in human resources, healthcare, banking, and many more. The book provides a comprehensive reference for scholars, students, managers, entrepreneurs, and policymakers by examining frameworks and business practice implications through its discussions which embrace a wide variety of unique topics on business analytics, AI, and how it can be applied together to address the challenges of the digital era
Cutting-Edge Business Technologies in the Big Data Era
This book highlights applied artificial intelligence techniques, tools, and systems to drive strategic advantages, improve operational efficiency, and create added value. The focus is very much on practical applications and how to maximize the value of these technologies. They are being applied across businesses to enhance innovation, improve performance, increase profit, support critical thinking, and ultimately create customer-added value. Whether you are a researcher, manager, or decision-maker, this book provides valuable insights to help you harness the power of AI and big data analytics in your organization. This book attempts to provide answers to the most important questions: Quo Vadis applied artificial intelligence? Quo Vadis cutting-edge business technologies?
Generative Artificial Intelligence in Agriculture, Education, and Business
The rapid digital development of the recent era has revolutionized the overall network of business and management as well as other sectors. The book discusses how emerging technologies, artificial intelligence (AI), blockchain, big data analytics, cloud computing and the Internet of Things (IoT), have a high level of impact on different industries. With more and more businesses turning towards these techs, it is extremely important to really understanding their relation and use in order to remain at the cutting edge of technology while emerging as an innovator. Chapter 1 is a detailed introduction to the digital transformation, driven by AI, blockchain, IoT and other technologies are changin...
