Introduction
"Implementing Hyper Automation: Strategies, Best Practices, and Case Studies" offers insights into the powerful convergence of AI, Machine Learning, Robotic Process Automation, Natural Language Processing, and Advanced analytics. Rooted in modern digital transformation trends, the book demonstrates how intelligent automation reshapes organisational efficiency, enhances decision-making, and drives scalable growth across industries.
The book begins with foundational concepts, core principles, and architectural frameworks that guide the development of resilient and intelligent automation ecosystems. It then presents sector-specific case studies from banking, healthcare, manufacturing, and agriculture, showcasing real implementations, measurable impact, and lessons learned. Later chapters address data governance, security, operational risks, enabling technologies, and emerging trends, concluding with a strategic roadmap for sustaining automation-driven transformation.
Key Features
- - Explains core principles and architectural foundations of hyper automation.
- - Demonstrates real-world case studies across major industries.
- - Provides actionable frameworks and implementation strategies.
- - Addresses governance, security, risks, and future trends.
- - Bridges academic insights with practical, enterprise-focused guidance.
Target Readership:
Students, researchers, educators, and professionals engaged in digital transformation and exploring intelligent solutions.