Emerging Technologies and Dynamic Decision Making (True )

[Emperor2011]

Emerging Technologies and Dynamic Decision Making (True ) | 1.5 MB

Title: Emerging Technologies And Dynamic Decision Making
Author: Hassan Qudrat-Ullah
Category: Nonfiction, Computers, Advanced Computing, Engineering, Computer Vision, Artificial Intelligence
Language: English | 586 Pages | ISBN: 9789819811915


Description:
Emerging Technologies and Dynamic Decision Making delves into the transformative role of cutting-edge technologies - such as AI, blockchain, IoT, and quantum computing - on decision-making processes in complex, fast-paced environments. The book is structured into four parts, beginning with an introduction to these technologies and the dynamic decision-making frameworks required to manage the inherent uncertainties they bring. It explores how these innovations disrupt traditional models across industries, reshaping everything from socioeconomic systems to governance structures.
The book addresses the interplay between technology and decision-making, providing detailed case studies from sectors like healthcare, finance, and emergency management. It highlights the societal and ethical challenges posed by rapid technological integration, such as issues of equity, transparency, and privacy. Additionally, it offers a dynamic perspective on decision-support systems, big data, and real-time analytics, showing how organizations can leverage these advancements to enhance strategic outcomes.
Practical insights are provided through a focus on adaptive and agile decision-making models, which enable organizations to thrive amidst technological disruption. The book concludes with strategic foresight, encouraging readers to anticipate future trends and prepare for the ethical, societal, and economic challenges that emerging technologies will continue to introduce.
This book is a comprehensive guide for professionals, researchers, and decision-makers seeking to navigate the intersection of emerging technologies and dynamic decision-making frameworks.
Readership: Professionals, researchers, and decision-makers seeking to navigate the intersection of emerging technologies and dynamic decision-making frameworks.

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