Revolutionizing Data Science And Analytics For Industry Transformation
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Revolutionizing Data Science and Analytics for Industry Transformation
Author: Manuel, Paul Devasahayam
language: en
Publisher: IGI Global
Release Date: 2025-01-31
The fields of data science and analytics are always evolving. By understanding and navigating the data-driven revolution, advancements can be made in domains such as healthcare, finance, education, and more. Harnessing the power of data in decision-making and problem-solving across industries, industries may advance their methods of data collection, data visualization, and predictive modeling. As such, it is important to stay abreast of the latest developments, methodologies, and trends in data-driven research. Revolutionizing Data Science and Analytics for Industry Transformation contributes to fostering collaboration, innovation, and excellence in data science research. It democratizes access to knowledge and empowers individuals and organizations to thrive in the data-driven era. Covering topics such as outcome prediction, deep reinforcement learning, and Mask Attention BERT Networks, this book is an excellent resource for data scientists, business professionals, policymakers, computer scientists, statisticians, engineers, professionals, researchers, scholars, academicians, and more.
Data Alchemy in Insurance: Revolutionizing the Insurance Industry through Big Data Analytics
Author: Sanjay Taneja, Ercan Ozen, Luan Vardar, Mohit Kukreti, Mohammad Kashif
language: en
Publisher: Bentham Science Publishers
Release Date: 2025-06-24
Data Alchemy in Insurance: Revolutionizing the Insurance Industry through Big Data Analytics discusses cutting-edge technologies like machine learning and AI, transforming insurance into a dynamic, customer-centric industry. Spanning fifteen chapters, topics range from predictive analytics for customer retention to ethical dilemmas in data usage. Learn how big data enhances risk assessment, underwriting, and customer engagement, fostering innovation and operational efficiency. Insights into robo-advisors, automation, and sustainable insurance models provide a comprehensive view of industry advancements. Key Features: - The Data-Driven Renaissance: Innovate and grow strategically with big data. - Customer-Centric Transformation: Personalize engagement and satisfaction. - Operational Efficiency: Optimize claims, detect fraud, and assess risk effectively.
Smart Supply Chains: Analytics and AI for Industrial Transformation 2025
Author: Author:1- ACHYUTHA MOHAN, Author:2- PROF. (DR) ARPIT JAIN
language: en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date:
PREFACE In today’s fast-paced industrial landscape, supply chains have become the critical backbone of global commerce, driving efficiency, innovation, and competitiveness. Yet, the complexity and volatility of modern markets demand far more than traditional supply chain management can offer. Smart Supply Chains: Analytics and AI for Industrial Transformation explores the transformative power of advanced analytics and artificial intelligence (AI) in revolutionizing supply chain operations, enabling organizations to achieve unprecedented agility, resilience, and sustainability. This book delves deeply into how data-driven intelligence and AI technologies are reshaping every facet of supply chains—from sourcing and production to logistics and customer fulfilment. It highlights how predictive analytics, machine learning, and real-time data processing unlock insights that empower smarter decision-making and proactive risk management. By integrating IoT devices, robotics, cloud computing, and blockchain, smart supply chains evolve into interconnected, autonomous networks capable of dynamically adapting to market demands and disruptions. While technological advancements are profound, this book also addresses the human and ethical dimensions of industrial transformation. It explores challenges such as data privacy, algorithmic fairness, workforce skill shifts, and governance frameworks necessary for responsible AI deployment. Through a blend of theoretical foundations, practical applications, and recent case studies, readers gain a holistic view of both opportunities and obstacles in building smart supply chains. Designed for supply chain professionals, data scientists, industry leaders, and academics, this book aims to bridge the gap between emerging technology and real-world industrial practice. It offers actionable insights for leveraging analytics and AI not just to optimize processes, but to fundamentally reimagine supply chains as strategic assets driving innovation and competitive advantage. As industries across the globe embrace digital transformation, the knowledge presented here will serve as a vital guide to harnessing analytics and AI for sustainable industrial growth. It is our hope that this work inspires readers to lead the future of supply chain management—building smarter, more responsive, and ethically responsible supply chains that thrive in the complex world of today and tomorrow. Authors Achyutha Mohan Prof. (Dr) Arpit Jain