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Leveraging AI and Big Data for Business Innovation: Strategies for the Digital Economy [Kõva köide]

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  • Formaat: Hardback, 1066 pages, kõrgus x laius: 235x155 mm, 113 Illustrations, color; 33 Illustrations, black and white
  • Sari: Studies in Big Data
  • Ilmumisaeg: 02-Jul-2026
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3032204119
  • ISBN-13: 9783032204110
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  • Kõva köide
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  • Formaat: Hardback, 1066 pages, kõrgus x laius: 235x155 mm, 113 Illustrations, color; 33 Illustrations, black and white
  • Sari: Studies in Big Data
  • Ilmumisaeg: 02-Jul-2026
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3032204119
  • ISBN-13: 9783032204110
Teised raamatud teemal:
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 todays competitive landscape, gathering data alone is insufficient; success depends on a companys 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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