Rövid leírás:

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.

Hosszú leírás:

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.

Tartalomjegyzék:

Assessing Teachers Awareness of Digital and Technological Addiction Risks Among Secondary School Students in Jordan.- Determining the awareness level about consumer electronics waste A comparative study.- The impact of strategic entrepreneurship and administrative entrepreneurship on the job satisfaction of faculty members in Jordanian universities.- The Challenges Associated with the Internal Audit Practice and their Impact on its Performance Empirical Evidence from Listed Companies in Ghana.- The Role of AI Chatbots in Learning Writing Skills An Empirical study on the Use of ChatGPT among EFL Omani Students.