商品描述
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.
商品描述(中文翻譯)
《代理式超個人化維度 - 六個商業黑數據的維度》探討了生成式人工智慧（Gen-AI）如何結合代理智能，將原始企業數據轉化為超個人化的可行見解。本書介紹了一個實用框架，用於構建在六個關鍵商業黑數據維度上運作的AI驅動代理群，從而在前所未有的規模上賦能智能自動化、決策增強和戰略前瞻。
在數據未被充分利用的時代，組織面臨著複雜性、延遲和碎片化的壓力。傳統的分析管道在處理動態環境和以人為中心的需求方面顯得力不從心。本書通過詳細說明如何利用自主的Gen-AI代理——基於數據工程、數據科學和機器學習的基礎學科——來處理、個性化和操作埋藏在企業系統深處的隱藏見解，來填補這一關鍵空白。本書提出的六個維度形成了一個認知和計算藍圖，指導代理群的設計、部署和演變。每個維度專注於特定的智能模式——例如上下文推理、情感對齊或實時自適應感知——並展示了AI代理如何在每個領域中專精，以最大化商業影響。
讀者不僅會學習理論——他們還將探索經過實地驗證的方法論，以在企業規模上部署Gen-AI驅動的解決方案。從區域數據湖和變壓器模型到群體治理和共識機制，本書引導讀者了解構建智能系統的完整生命週期，這些系統能夠學習、演變並有目的地行動。本書的必要性在於，作者並非在旁觀，而是當前積極設計和交付這些系統，對於什麼有效、什麼失敗以及未來的走向有著第一手的見解。所提出的方法論融合了系統設計、人類對齊的AI、工業自動化和可信的決策，為讀者提供了一個豐富且實用的AI優先企業創新路線圖。
您將學到的內容：
- 如何在六個相互聯繫的認知和計算維度上結構化AI驅動的代理，以有效處理黑數據並提供超個人化的實時商業見解。
- 實用知識，了解如何協調由理事會治理的Gen-AI代理群，這些代理群協同管理複雜性、檢測新興模式並在企業環境中自主運作。
- 在大規模、多雲和混合商業生態系統中實施生成式AI和基於代理的智能所需的基礎和進階技能。
本書的讀者對象：
本書旨在為在人工智慧與商業轉型交匯處運作的專業人士和實踐者而設。它非常適合AI開發者、數據科學家、解決方案架構師、企業工程師和技術經理，這些人希望超越生成式AI的炒作，並在工業和企業級生態系統中有意義地應用它。
作者簡介
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.
作者簡介(中文翻譯)
安德烈亞斯·弗朗索瓦·維爾梅倫（Andreas François Vermeulen）是全球人工智慧的負責人，也是快速資訊工廠（Rapid Information Factory）的創始人，他在該公司領導開發以人工智慧驅動的代理群體，將原始的非結構化數據轉化為可行的商業洞察。擁有超過44年的數據工程、數據科學、機器學習和生成式人工智慧的經驗，他在139個國家提供了持久的解決方案，並擔任全球各地政府和領先組織的戰略顧問。他的專業知識的特點在於對人工智慧生態系統的技術基礎和實施的深刻理解。他設計了大規模、安全的人工智慧驅動基礎設施，利用生成式人工智慧、數據管道和進化機器學習模型，提供智能、超個性化和自動生成的洞察。本書融合了理論、工程實踐和人工智慧的遠見領導，深入探討了代理智慧的變革力量。它揭示了這一範式如何在六個關鍵維度上釋放商業黑數據的隱藏價值，使光數據和黑數據處理能夠在複雜的商業環境中促進基於代理的決策制定。
