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39 reviewsBegin with the fundamentals of IA and its progression from simple, rule-based RPA to advanced IA, incorporating AI-driven technologies like Machine Learning, Generative AI, and Agentic AI. These emerging technologies empower organizations to tackle more complex processes, enabling intelligent decision-making and enhanced customer interactions prompting the necessity for robust governance and alignment with broader business objectives, which is a primary focus of this book.
To combat that, you’ll review actionable frameworks and governance models designed to support the development and sustainability of IA programs at scale. The book provides a structured roadmap to establish an IA Center of Excellence (CoE), ensuring that automation efforts align with the organization’s Digital Transformation goals. By integrating governance processes, risk management, and best practices, you’ll be able to build IA initiatives that are resilient, compliant, and strategically impactful. Intelligent Automation for Digital Transformation demystifies the journey to becoming a digitally native organization.
Who This Book is For
Leaders responsible for shaping their organization’s long-term strategy, digital innovation, and business process efficiency agenda. Executives in the financial services, healthcare, and other highly regulated industries where a risk management mindset and proper governance framework is key. Consultants and advisors within the business transformation and automation space who are ena-bling companies in their journey to become digitally native.