This book provides a comprehensive guide for leveraging Artificial Intelligence (AI) and Big Data to drive business innovation in the digital economy. As data from modern digital sources like sensors, social networks, and online transactions grows exponentially, businesses must adopt data-driven strategies to remain competitive and agile. The book equips leaders, technologists, and data scientists with the knowledge and tools to transform vast datasets into actionable insights, optimizing decision-making, enhancing customer experiences, and fueling innovation. At its core, the book addresses the critical challenge of moving beyond mere data collection to effectively harnessing data for innovation. In today's competitive landscape, gathering data alone is insufficient; success depends on a company's ability to extract meaningful insights and translate them into actionable strategies. The book explores the latest tools and technologies that facilitate this transformation and delves into the organizational changes needed to foster a data-driven culture, such as leadership engagement, cross-departmental collaboration, and data governance. By weighing both the benefits and risks, readers gain a balanced and forward-looking perspective on implementing AI and Big Data responsibly and sustainably. As businesses increasingly seek to capitalize on Big Data and AI, there is a growing need for resources that bridge the gap between technical data science concepts and their practical applications in business. This book meets that need, helping business leaders, technology professionals, and academics understand how to leverage Big Data to solve complex problems and drive innovation. The book's primary audience includes business executives, data scientists, IT professionals, and graduate students in business, data science, and computer science. It also appeals to decision-makers in industries such as finance, healthcare, retail, and manufacturing who are looking to implement data-driven strategies to enhance their operations and customer offerings.

Focuses on leveraging Artificial Intelligence (AI) and Big Data to drive business innovation in the digital economy Addresses the critical challenge of moving beyond mere data collection to effectively harnessing data for innovation Incudes real world cases

Inhalt

Will a TikTok influencer make you buy? The perceived value perspective.- Exploring Students' Perception of AI Adoption in De-sign Education: A Technology Acceptance Model Research Among Students at Ciputra University, Indonesia.-Factors Affecting the Adoption of Digital Banking Services Among Generation Z in Malaysia.- The Influence of Environmental Factors on Career Preparedness among Malaysian Undergraduates: A Correlational Study.- The Role of Artificial Intelligence in Neonatal Care: Disparity, Innovations, and Future Perspectives.- Designing Electronic Health Record Architecture Using WHO SMART Guideline and Zachman Framework.- Understanding Risk Communication and Health Information Usability in Travel: A Mixed-Methods Evaluation of the Smart Health Traveler App.- The Missing Piece: Integrating Patient Safety into Sustainable Telemedicine Research.