Without Chaos: The AI Catalyst: How to Build Platforms, Teams, and Strategy for Enterprise-Scale AI Success
暫譯: 遠離混亂：AI 催化劑——打造企業級 AI 成功所需的平台、團隊與策略
Bardawil, Bernard
相關主題
商品描述
AI adoption is speeding up across industries, yet most organizations still face confusion and stalled progress. While interest is high and many pilots are underway, nearly 90% of AI projects never reach production or deliver the expected value. The issue isn't technology--it's the lack of a clear, scalable operating model. This book provides that missing structure, showing how to move from scattered experiments to a sustainable enterprise AI practice. This book stands at the intersection of strategy and architecture, designed for leaders, architects, and decision-makers responsible for scaling AI responsibly.
The book begins by uncovering why AI efforts fail: hype-driven expectations, talent gaps, weak data foundations, poor governance, and ad-hoc delivery models. It then reframes AI as a long-term capability--helping readers understand where AI truly adds value and where it does not. The core of the book is the Sustainable AI Framework, a practical approach for building lasting AI maturity. Readers will learn how to prioritize the right use cases, build platform-based delivery models, create paved paths for teams, and embed trust, accountability, and governance from day one. The book blends strategic mapping, platform engineering, organizational design, and architectural patterns, offering concrete tools and maturity models. Ultimately, it offers guidance for executing at scale, including securing early wins, avoiding innovation theatre, managing platform evolution, and establishing continuous learning loops.
This book is a roadmap for moving beyond hype and pilots toward durable, responsible AI capability and long-term business advantage--without chaos.
What you will learn:
-Build a practical AI adoption strategy that avoids common pitfalls
-Design a minimal viable platform using platform engineering principles
-Map opportunities using tools like Wardley Mapping, Value Streams and team topologies
-Establish trust frameworks that scale
Who this book is for:
AI/ML Platform Teams and MLOps Engineers, Principal Engineers and Technical Leaders, Engineering Managers and Tech Leads, Software and Platform Architects
商品描述(中文翻譯)
AI 正在加速應用於各個產業，但大多數組織仍面臨方向混亂與進展停滯的問題。儘管各界對 AI 的興趣高漲，許多試點專案也正在進行，仍有將近 90% 的 AI 專案無法進入正式生產環境，或無法創造預期價值。問題不在於技術，而在於缺乏清晰且可擴展的營運模式。本書提供這個缺失的架構，說明如何從零散的實驗，邁向可持續的企業 AI 實務。本書立足於策略與架構的交會點，專為負責以負責任的方式擴展 AI 的領導者、架構師與決策者而設計。
本書首先剖析 AI 推動工作失敗的原因：由炒作驅動的期待、人才缺口、薄弱的資料基礎、不完善的治理，以及臨時拼湊的交付模式。接著，本書將 AI 重新定位為一項長期能力，協助讀者了解 AI 真正能創造價值的領域，以及不適合導入 AI 的情境。本書的核心是 Sustainable AI Framework，這是一套用於建立持久 AI 成熟度的實務方法。讀者將學習如何優先處理適當的使用案例、建立以平台為基礎的交付模式、為團隊打造 paved paths（標準化且順暢的開發路徑），並從第一天起將信任、責任歸屬與治理機制融入其中。本書融合策略地圖、平台工程、組織設計與架構模式，並提供具體工具與成熟度模型。最後，本書也針對如何在大規模環境中執行提供指引，包括取得早期成果、避免陷入「創新劇場」、管理平台演進，以及建立持續學習迴圈。
本書是一份路線圖，協助讀者超越炒作與試點，在避免陷入混亂的前提下，建立持久、負責任的 AI 能力，並取得長期的商業優勢。
你將學習：
- 建立實用的 AI 採用策略，避開常見陷阱
- 運用平台工程原則設計最小可行平台（minimal viable platform）
- 使用 Wardley Mapping、Value Streams（價值串流）與 team topologies（團隊拓撲）等工具，盤點並對應機會
- 建立可擴展的信任框架
本書適合：
AI/ML Platform Teams 與 MLOps Engineers、Principal Engineers 與 Technical Leaders、Engineering Managers 與 Tech Leads、Software Architects 與 Platform Architects
作者簡介
Bernard Bardawil is a technology architect and engineering leader with more than 15 years of experience designing and scaling digital platforms, enterprise architecture, and AI-driven systems. He has led technology transformation initiatives across platform engineering, data platforms, cloud modernization, and applied AI, helping organizations move from fragmented experimentation to scalable operational capabilities.
His work focuses on the intersection of architecture, platform strategy, organizational design, and enterprise AI adoption. Bernard is particularly known for translating complex technical concepts into practical operating models that enable teams to deliver AI responsibly and at scale.
Through both hands-on engineering leadership and strategic advisory work, he has guided organizations in building sustainable technology foundations, modern delivery practices, and production-grade AI capabilities. His perspective combines deep technical expertise with a systems-thinking approach to organizational transformation.
作者簡介(中文翻譯)
Bernard Bardawil 是一位技術架構師與工程領導者，擁有超過 15 年設計及擴展數位平台、企業架構與 AI 驅動系統的經驗。他曾在平台工程、資料平台、雲端現代化與應用 AI 等領域，領導多項技術轉型計畫，協助組織從零散的實驗階段，邁向可擴展的營運能力。
他的工作聚焦於架構、平台策略、組織設計與企業採用 AI 之間的交集。Bernard 尤其擅長將複雜的技術概念轉化為實用的營運模式，讓團隊能夠以負責任且可擴展的方式交付 AI 解決方案。
透過親自參與工程領導與策略顧問工作，他協助組織建立永續的技術基礎、現代化的交付實務，以及達到生產環境等級的 AI 能力。他的觀點結合深厚的技術專業與系統思考方法，用於推動組織轉型。
