This volume introduces the core principles of data science, data analytics, machine learning, big data, cloud computing, and intelligent decision-making systems, and bridges theoretical concepts with practical applications through real-world case studies, analytical techniques, and emerging digital transformation strategies.
Abstract
Frontiers of Intelligent Computing and Cyber Technologies – Volume V: Data Science, Analytics, and Smart Digital Transformation presents a comprehensive exploration of modern data-driven technologies that are transforming industries and society. This volume introduces the core principles of data science, data analytics, machine learning, big data, cloud computing, and intelligent decision-making systems. It bridges theoretical concepts with practical applications through real-world case studies, analytical techniques, and emerging digital transformation strategies. Readers will gain valuable insights into data visualization, predictive analytics, AI-powered business intelligence, and smart enterprise solutions that support innovation across healthcare, finance, manufacturing, education, and smart cities. Written in a clear and structured manner, this book is ideal for students, researchers, educators, and industry professionals seeking to build expertise in intelligent computing and data-centric technologies. It serves as a valuable reference for understanding how advanced analytics and smart digital transformation are shaping the future of technology and sustainable innovation.
The study argues that effective integration of AI, IoT, and intelligent systems can accelerate scientific discovery, improve research efficiency, and contribute to sustainable and evidence-based technological development.
Mrs. Vinita Edlabadkar, Mrs. Bhushana Thakur, Sonu, CS Khushboo Lalit Shah, Adv. Hardik Goradiya· International Journal of Adv...· 0 citations
The rapid development of digital technologies, artificial intelligence, cloud computing, business analytics, and data-driven decision-making has significantly increased the need for advanced approaches to assessing enterprise digital maturity. Existing assessment models mainly focus on individual aspects of digital tra...
The fundamental concepts of AI, its major techniques, including machine learning, deep learning, expert systems, fuzzy logic, reinforcement learning, explainable AI, and generative AI, and their roles in modern decision support systems are examined.
P. S· Journal of Intelligent Decis...· 0 citations
This study critically analyzes existing literature to pinpoint current achievements, implementation strategies, and technological progress across various civil engineering fields, and highlights several key research challenges, such as data interoperability, cybersecurity, computational complexity, scalability, standar...
M. M., Meghana C. S.· Journal of Recent Activities...· 0 citations
The study concludes that cloud-based AI automation models represent a fundamental technological framework for enabling intelligent digital transformation, empowering organizations to achieve long-term operational excellence, competitive resilience, and sustainable business growth within an increasingly interconnected a...
Shi-Hu Gan· International journal of com...· 0 citations
The paper demonstrates that AI significantly enhances cloud computing capabilities while introducing new security and ethical challenges, and suggests that organizations adopting AI-powered cloud solutions must implement robust governance frameworks, cybersecurity measures, and regulatory compliance strategies to maxim...
Kurban Kurban, A. Farooqi· International Scientific Jou...· 0 citations
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