Intersection Of Ai And Business Intelligence In Data Driven Decision Making
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Intersection of AI and Business Intelligence in Data-Driven Decision-Making
In today's rapidly evolving business landscape, organizations are inundated with vast amounts of data, making it increasingly challenging to extract meaningful insights and make informed decisions. The traditional business intelligence (BI) approach must often address the complexity and speed required for effective decision-making in this data-rich environment. As a result, many businesses need help to leverage their data to drive sustainable growth and remain competitive. Intersection of AI and Business Intelligence in Data-Driven Decision-Making presents a transformative solution to this pressing challenge. By exploring the convergence of artificial intelligence (AI) and BI, our book provides a comprehensive framework for leveraging AI-powered BI to revolutionize data analysis, predictive modeling, and decision-making processes. Readers will gain valuable insights into practical applications, emerging trends, and ethical considerations, inspiring and exciting them about the potential of AI in driving business success.
Computational Intelligence in Healthcare Law
This book explores the intersection of legal frameworks, healthcare innovation, and computational intelligence, shedding light on how emerging technologies like artificial intelligence (AI) and machine learning (ML) are reshaping the medical landscape. It presents real- life challenges such as patient privacy, data security, and compliance issues in smart healthcare by delving into the associated ethical and regulatory implications. Comprising the concepts of predictive analytics, regulatory compliance algorithms, and legal decision- making processes, this book offers a roadmap for stakeholders to navigate the evolving landscape of healthcare innovation responsibly and ethically. Features: Investigates how artificial intelligence supports legal decision- making processes in smart healthcare, addressing ethical and accountability concerns Demonstrates the use of smart contracts and automation tools powered by computational intelligence to streamline legal processes and ensure compliance in smart healthcare initiatives Focuses on managing healthcare data within legal frameworks, emphasizing the role of computational intelligence’s in ensuring privacy and security Examines how computational intelligence enables predictive analytics models to anticipate legal challenges and compliance issues in smart healthcare Highlights the development and implementation of computational algorithms for navigating evolving legal frameworks in healthcare This reference book is a useful resource for scholars and researchers working on smart healthcare.
Community Resilience and Climate Change Challenges: Pursuit of Sustainable Development Goals (SDGs)
Communities around the world face an array of unprecedented challenges from climate change. From extreme weather events to biodiversity loss and resource scarcity, the impacts of climate change are far-reaching and multifaceted. Yet, amidst these challenges lies an opportunity for communities to build resilience and chart a path towards sustainable development. However, navigating this complex terrain requires actionable strategies, innovative approaches, and interdisciplinary collaboration. Community Resilience and Climate Change Challenges: Pursuit of Sustainable Development Goals (SDGs) emerges as a beacon of hope in addressing these pressing issues. By delving into the critical intersection of community resilience and the pursuit of SDGs, this book offers a comprehensive guide for empowering communities to adapt and thrive amidst climate uncertainties. Through a diverse range of practical strategies, case studies, and innovative approaches, it equips decision-makers, practitioners, and educators with the knowledge and tools needed to tackle the complex challenges of climate change and sustainable development.