Agentic Hyper-Personalized Dimensions - Six Dimensions of Business Dark Data

Agentic Hyper-Personalized Dimensions Six Dimensions of Business Dark Data explores how generative AI (Gen-AI), combined with agentic intelligence, can transform raw enterprise data into hyper-personalized, actionable insights. This book introduces a practical framework for building AI-powered agent swarms that operate across six critical dimensions of business dark data, empowering intelligent automation, decision augmentation, and strategic foresight at unprecedented scale.
In an age when data is underutilized, organizations are overwhelmed by complexity, latency, and fragmentation. Traditional analytics pipelines fall short in handling dynamic environments and human-centric demands. This book addresses this critical gap by detailing how autonomous Gen-AI agents built on foundational disciplines of data engineering, data science, and machine learning can process, personalize, and operationalize hidden insights buried deep within enterprise systems. The six dimensions presented in the book form a cognitive and computational blueprint that guides the design, deployment, and evolution of agentic swarms. Each dimension focuses on a specific mode of intelligence such as contextual reasoning, emotional alignment, or real-time adaptive sensing and shows how AI agents can specialize within each domain to maximize business impact.
Readers won t just learn theory they ll explore field-tested methodologies to deploy Gen-AI-powered solutions at enterprise scale. From zoned data lakes and transformer models to swarm governance and consensus mechanisms, the book walks readers through the full life cycle of building intelligent systems that learn, evolve, and act with purpose. What makes this book essential and unlike others in the market is that the author is not writing from the sidelines. He is actively architecting and delivering these systems today, with firsthand insight into what works, what fails, and what the future holds. The methodology presented blends system design, human-aligned AI, industrial automation, and trusted decision-making, offering readers a rich and practical road map for AI-first enterprise innovation.
What You Will Learn

• How to structure AI-powered agents across six interlinked cognitive and computational dimensions to effectively process dark data and deliver hyper-personalized, real-time business insights.
• Practical knowledge on how to orchestrate swarms of Gen-AI agents governed by Councils &md

List of contents

Chapter 1: Six Thinking Dimensions.- Chapter 2: White Dimension - The Factual AI-powered Viewpoint.- Chapter 3: Red Dimension - Feelings and Instincts AI-powered Viewpoint.- Chapter 4: Black Dimension - Judgement and Evidence AI-powered Viewpoint.- Chapter 5: Yellow Dimension - Optimistic AI-powered Viewpoint.- Chapter 6: Green Dimension - Creativity AI-powered Viewpoint.- Chapter 7: Blue Dimension - Process Management AI-powered Viewpoint.- Chapter 8: Six Thinking Dimensions - Holistic AI-powered Viewpoint.

About the author

Andreas François Vermeulen is a global Head of Artificial Intelligence and the founder of the Rapid Information Factory, where he leads the development of AI-powered agentic swarms that transform raw, unstructured data into actionable business insights. With more than 44 years of experience across data engineering, data science, machine learning, and generative AI, he has delivered enduring solutions in over 139 countries and served as a strategic advisor to governments and leading organisations around the globe. What distinguishes his expertise is a deep understanding of both the technical foundations and implementation of AI ecosystems. He has architected large-scale, secure,  AI-powered infrastructures that use generative AI, data pipelines, and evolutionary machine learning models to deliver intelligent, hyper-personalised, and automatically derived insights. Blending theory, engineering practice, and visionary leadership in AI, this book delves into the transformative power of agentic intelligence. It reveals how this paradigm unlocks the hidden value of business dark data across six key dimensions of perspective, enabling light and dark data processing to empower agent-based decision-making in complex business environments.

Summary

Agentic Hyper-Personalized Dimensions – Six Dimensions of Business Dark Data explores how generative AI (Gen-AI), combined with agentic intelligence, can transform raw enterprise data into hyper-personalized, actionable insights. This book introduces a practical framework for building AI-powered agent swarms that operate across six critical dimensions of business dark data, empowering intelligent automation, decision augmentation, and strategic foresight at unprecedented scale.
In an age when data is underutilized, organizations are overwhelmed by complexity, latency, and fragmentation. Traditional analytics pipelines fall short in handling dynamic environments and human-centric demands. This book addresses this critical gap by detailing how autonomous Gen-AI agents — built on foundational disciplines of data engineering, data science, and machine learning — can process, personalize, and operationalize hidden insights buried deep within enterprise systems. The six dimensions presented in the book form a cognitive and computational blueprint that guides the design, deployment, and evolution of agentic swarms. Each dimension focuses on a specific mode of intelligence — such as contextual reasoning, emotional alignment, or real-time adaptive sensing — and shows how AI agents can specialize within each domain to maximize business impact.
Readers won’t just learn theory — they’ll explore field-tested methodologies to deploy Gen-AI-powered solutions at enterprise scale. From zoned data lakes and transformer models to swarm governance and consensus mechanisms, the book walks readers through the full life cycle of building intelligent systems that learn, evolve, and act with purpose. What makes this book essential — and unlike others in the market — is that the author is not writing from the sidelines. He is actively architecting and delivering these systems today, with firsthand insight into what works, what fails, and what the future holds. The methodology presented blends system design, human-aligned AI, industrial automation, and trusted decision-making, offering readers a rich and practical road map for AI-first enterprise innovation.
What You Will Learn

• How to structure AI-powered agents across six interlinked cognitive and computational dimensions to effectively process dark data and deliver hyper-personalized, real-time business insights.
• Practical knowledge on how to orchestrate swarms of Gen-AI agents — governed by Councils — that collaboratively manage complexity, detect emerging patterns, and operate autonomously in enterprise environments.
• The foundational and advanced skills required to implement generative AI and agent-based intelligence within large-scale, multi-cloud, and hybrid business ecosystems.

          Who This Book is For
This book is designed for professionals and practitioners operating at the intersection of artificial intelligence and business transformation. It is ideal for AI developers, data scientists, solution architects, enterprise engineers, and technical managers who are looking to move beyond the hype of generative AI and apply it meaningfully within industrial and enterprise-grade ecosystems.

Product details

• Authors: Andreas François Vermeulen
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Release: 26.01.2026
• EAN: 9798868818769
• ISBN: 9798868818769
• No. of pages: 480
• Illustrations: XX, 480 p. 9 illus., 8 illus. in color.
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; Künstliche Intelligenz, Data Science, machine learning, Datenbanken, Artificial Intelligence, Industrial AI, Agentic AI, Data-to-insight transformation, Business dark data, AI councils and governance, AI swarm intelligence, Machine learning for business ecosystems, AI-powered agents, Generative AI for business, AI in enterprise automation, Hyper-personalized AI systems, Data science and AI engineering