Leveraging AI and Big Data for Business Innovation (eBook)

Strategies for the Digital Economy
Artikelnummer: 978-3-032-20412-7
Einband: PDF
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
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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.

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.

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VerlagSpringer International Publishing
EinbandPDF
Erscheinungsjahr2026
Seitenangabe1050 S.
AusgabekennzeichenEnglisch
AbbildungenXIII, 1050 p. 146 illus., 111 illus. in color.
Masse45'560 KB
PlattformPDF
ReiheStudies in Big Data; Business and Management; Business and Management
AutorEl Khoury, Rim (Hrsg.)

Alle Bände der Reihe "Studies in Big Data; Business and Management; Business and Management (R0)"

Über den Autor Rim (Hrsg.) El Khoury

Rim El Khoury is Associate Professor of Finance at Lebanese American University, Lebanon. She holds a Ph.D. in International Finance from Sogang University, South Korea, in 2009. She is Recipient of several awards such as the Outstanding Doctoral Thesis Award (2009) and the Academic Excellence Award from the Korean Government (2006). She has guest edited special issues for strategic marketing, competitiveness review, higher education, skills, and work-based learning, and development and learning on organizations. She is co-editing some books. She published several papers in peer-reviewed articles in top-ranked academic journals, including Journal of Commodity Markets, International Journal of Finance & Economics, Journal of Cleaner Production, European Journal of Finance, Journal of Sustainable Finance and Investments, etc.

Weitere Titel von Rim (Hrsg.) El Khoury

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