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OverviewIn an era defined by digital transformation and the exponential growth of data, organizations face a dual challenge: understanding their operational realities and proactively adapting to an ever-changing global market. The traditional approach to managing business processes, often relying on static documentation and periodic audits, is increasingly insufficient. Businesses today require a dynamic, data-driven methodology that can reveal the true, often complex, flow of operations and predict future performance with a high degree of accuracy. This book, 'Harnessing AI to Supercharge Process Mining, ' addresses this critical need by focusing on the profound synergy between Artificial Intelligence (AI) and Process Mining. Process Mining, the practice of discovering, monitoring, and improving real processes by extracting knowledge from event logs readily available in today's information systems, provides an unparalleled window into operational execution. However, its true potential is unlocked when augmented by the analytical and predictive capabilities of AI. AI can automate the discovery of intricate process variants, detect subtle anomalies, predict future outcomes, and even recommend optimal interventions, thereby transforming insights into intelligent actions. Rethinking Transformation Traditional transformation approaches often fall short because they rely on static models and reactive decision-making. AI and Process Mining, however, flip the script. By continuously analyzing digital footprints across systems, Process Mining reveals how work actually happens-not how it is supposed to happen. AI enhances this visibility with real-time insights, anomaly detection, and prescriptive recommendations, empowering leaders to act with confidence and agility. Together, these technologies offer something remarkable: a self-learning, self-correcting system of business intelligence that adapts to change as fast as change itself. What You will Discover How Process Mining and AI intersect to create a living blueprint of enterprise workflows Practical frameworks for extracting, modeling, and enhancing end-to-end processes Ways AI augments decision-making, compliance, customer experience, and performance management Integration strategies across business functions-from Procurement to Investment Boards Real-world use cases and maturity models to guide adoption across industries Whether you are an enterprise architect, transformation strategist, or analytics leader, this book is designed to equip you with the tools, insights, and foresight needed to orchestrate next-gen business transformation. Our target audience comprises experienced professionals who are instrumental in driving operational improvements: seasoned Business Process Management (BPM) consultants seeking to enhance their analytical toolkit; Data Science leaders tasked with applying AI and Machine Learning (ML) to enterprise challenges; and academic researchers in Operations Research, Information Systems, and Artificial Intelligence focused on optimizing business processes. This book is crafted to provide these individuals with a robust understanding of how to integrate AI and Process Mining effectively. We will explore the foundational principles, delve into advanced applications across various industries, discuss implementation strategies, and examine the critical aspects of governance and ethics. By synthesizing the strengths of both disciplines, we aim to guide you in creating truly intelligent, self-optimizing business processes that deliver significant, sustainable competitive advantage. Prepare to embark on a journey to elevate your understanding and application of process optimization to the next level. Full Product DetailsAuthor: Alaa AbdelkawiPublisher: Independently Published Imprint: Independently Published Dimensions: Width: 15.20cm , Height: 1.00cm , Length: 22.90cm Weight: 0.249kg ISBN: 9798261921660Pages: 180 Publication Date: 16 December 2025 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: Available To Order We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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