Big Data in Finance: Transforming the Financial Landscape

Volume 2

Buch | Hardcover

2025
Springer International Publishing (Verlag)
978-3-031-80655-1 (ISBN)

Noch nicht erschienen - erscheint am 13.05.2025
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This book uncovers the potential of machine learning, artificial intelligence, and advanced analytics to empower financial institutions to stay competitive in an ever-evolving market. In the age of digital transformation, big data is revolutionizing the financial industry, reshaping how businesses understand markets, manage risks, and make strategic decisions. "Big Data in Finance: Transforming the Financial Landscape" offers a comprehensive exploration of the cutting-edge technologies and analytics driving this change, making it an essential resource for professionals, scholars, business leaders, and enthusiasts alike.

From enhancing operational efficiency to enabling more accurate forecasting, this book delves deep into how data-driven insights are transforming traditional financial models.

With practical insights, real-world applications, and contributions from industry leaders, this book provides a balanced perspective on both the opportunities and challenges of data-driven finance. It addresses key ethical considerations, regulatory concerns, and future trends, offering readers a holistic understanding of the dynamic intersection of technology and finance.

Discover how big data is shaping the future of finance, and gain the knowledge you need to harness its full potential. Whether you're looking to innovate, optimize, or simply stay informed, "Big Data in Finance: Transforming the Financial Landscape" is your roadmap to success in the new era of digital finance.

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Erscheint lt. Verlag	13.5.2025
Reihe/Serie	Studies in Big Data
Zusatzinfo	Approx. 450 p.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
	Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
	Technik
	Wirtschaft
Schlagworte	Artificial Intelligence • Big Data • Case Studies • Customer Insights • data analytics • data privacy • Digital transformation • Finance • Financial Decision-Making • Financial Markets • fraud detection • machine learning • Market Trends • Operational Efficiency • personalization • predictive analytics • real-world applications • Regulatory Compliance • Risk Management • technological advancements
ISBN-10	3-031-80655-7 / 3031806557
ISBN-13	978-3-031-80655-1 / 9783031806551
Zustand	Neuware