Books

过去二十年，企业拼命抢流量、拼体验。结果呢？毛利率没涨，人更累了。这本书讲一件事：流量时代结束了，秩序时代开始了。你不需要更多数据——你需要一个让数据“自己说话”的系统。秩序经济，是用数字化构建的清晰感、确定感、掌控感。不是理论，是参数。

Building an impressive AI agent demo is easy. Running one in production—reliably, at scale, with governance—is where most enterprises get stuck. Agentic Orchestration shows how BPMN-based process orchestration governs AI agents at scale, drawing on real deployments across banking, telecom, and healthcare. Reasoning without orchestration is expensive chaos. This book shows the way out.

The dominant narrative still treats Al as a new software category - something to procure from a vendor, deploy in a department, measure ROI on, and slot into existing systems. This view has produced thousands of pilots, hundreds of case studies and research papers, and surprisingly modest impact on actual organisational performance. That is not a technology problem. It is an organizational one.

This book gives senior technology leaders a practical operating system for enterprise AI strategy. It turns scattered pilots into a board-ready plan by walking through strategy, economics, vendor decisions, ownership, governance, GenAI architecture, and roadmap assembly: AI Platform Scorecard, Use-Case Prioritization Matrix, Budget Model + Cost Guardrails, Vendor Decision Framework, RACI Matrix.

Most enterprise AI programs do not fail because the model is weak. They fail because the organization cannot operate AI: costs are hidden, ownership is vague, governance is late, vendors create dependency, and production risk is not clearly assigned. This book helps leaders fix the system around the model.

"The AI confirmed X for me" used as proof of X. Outputs that sound brilliant but don't hold up to a severe re-reading. A three-page "AI policy" that nobody reads. Sound familiar? Thinking with LLMs, the Right Way is the system of critical thinking applied to LLMs: the Thinking-With Triangle (Intent / Adversary / Editor), the four meta-decisions of governance, the Socratic and adversarial practices for investigating and verifying. Not prompt engineering: the method for not letting yourself be mirrored.

LLMs and agentic AI are currently generating a great deal of hype. When applied correctly, they can deliver tremendous benefits. This book outlines the challenges involved in implementing these technologies within large enterprises—particularly in regulated environments. It serves as an accessible introduction for IT-focused executives and enterprise architects, while also proving useful for IT professionals in general who wish to explore the subject and avoid common project pitfalls.

From Technical Person to Leader: The Technical Professional's Guide to Becoming a Security Manager

The factory floor is unchanged by AI. The cognitive overhead surrounding it is not. *The AI-Augmented COO* is a practicing Chief Operating Officer's playbook for compressing that overhead — concrete prompts, composite case studies, sober governance — for the operations leaders who have to deliver this quarter.

«L'AI mi ha confermato X» usato come prova di X. Output che suonano brillanti ma non reggono a una rilettura severa. Una "AI policy" di tre pagine che nessuno legge. Suona familiare? "Pensare con gli LLM the Right Way" è il sistema di pensiero critico applicato agli LLM: il Triangolo del Pensare-Con (Intento / Avversario / Editore), le quattro decisioni meta di governance, le pratiche socratica e avversariale per indagare e verificare. Non prompt engineering: il metodo per non farsi rispecchiare.

Close the gap between "AI that generates code" and "AI-assisted development for production software" with this complete, proven playbook including the six-phase arc from audit to production.

LEGO® SERIOUS PLAY® isn’t what most people think it is. This book explores 101 common myths, through LEGO® inspired archetypes, to reveal what really happens when thinking becomes visible.

I numeri ti dicono cosa succede. Non ti dicono perché. La tua organizzazione misura attività — conferenze fatte, partecipanti registrati, borse erogate — ma non ha mai definito quale cambiamento vuole generare nel mondo. "Theory of Change, the Right Way" è il metodo pratico per partire dal futuro che vuoi creare e lavorare a ritroso fino alle azioni di oggi. Con il backwards mapping, le assumption nascoste e le sentinel metrics, imparerai a progettare impatto misurabile invece di sperare che le cose migliorino. Training from the Back of the Room: impari facendo, non ascoltando.