Intelligent Automation and Analytics for Business Resilience

Unlock the full potential of AI-driven automation with this comprehensive guide to building agile, resilient, and sustainable organizations through real-world applications. In an era defined by rapid technological advancements and unprecedented global challenges, businesses must embrace innovation to remain resilient, agile, and competitive. This book explores the transformative role of AI-driven automation in enabling organizations to improve intelligence. It covers a wide spectrum of topics including the integration of AI in automation, cybersecurity, sustainability, performance measurement, and ethical applications in healthcare. It provides readers with insights into how automation technologies are reshaping industries, improving scalability and flexibility, and driving measurable returns on investment. The volume emphasizes practical applications, such as using AI analytics to assess green equity markets, employing automation in education, and ensuring responsible adoption of intelligent systems. By combining theoretical frameworks with real-world case studies, this book serves as a practical reference for academics, industry leaders, and professionals seeking to leverage intelligent automation to achieve resilience, sustainability, and competitive advantage. Readers will find the volume: Provides a multi-disciplinary perspective on intelligent automation, covering AI, machine learning, cybersecurity, and ROI evaluation;Bridges academia and industry with applied case studies, frameworks, and research insights;Addresses timely topics such as sustainability, ethical AI, and automation in healthcare and education; Highlights future trends and research directions for business resilience in a rapidly changing technological landscape.Audience Researchers, academics, IT professionals, and policymakers in the fields of computer science, engineering, management, and data analytics.