nterprises don’t need more software. They need intelligence.
Most enterprise AI dies in the pilot graveyard — impressive demos that never
survive contact with production, security, or the board. The AI Architects is
the enterprise blueprint for the organisations that refuse to join them.
Across seven parts and twenty-six chapters, Professor Kai London shows how to
turn trapped knowledge into governed, reusable, measurable business capability:
the enterprise AI reference architecture, the intelligent document pipeline,
RAG and cognitive search, the AI software delivery lifecycle and release gates,
the platform operating model, and the governance that lets a board stand behind
what an AI platform does.
Written for CIOs, CTOs, CISOs, enterprise architects, and AI governance leaders
in regulated industries, the book pairs a clear architectural thesis with a
deployable toolkit — a 90-day launch plan, a 12-month roadmap, an AI maturity
scorecard, an ROI calculator, an incident register, and a full executive
strategy pack (Appendices A–T).
This is not a book about models. It is a book about the architecture, the
governance, and the operating discipline that decide whether enterprise AI
survives audit, scales safely, and creates durable advantage.
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Paperback. Condición: new. Paperback. nterprises don't need more software. They need intelligence. Most enterprise AI dies in the pilot graveyard - impressive demos that neversurvive contact with production, security, or the board. The AI Architects isthe enterprise blueprint for the organisations that refuse to join them. Across seven parts and twenty-six chapters, Professor Kai London shows how toturn trapped knowledge into governed, reusable, measurable business capability: the enterprise AI reference architecture, the intelligent document pipeline, RAG and cognitive search, the AI software delivery lifecycle and release gates, the platform operating model, and the governance that lets a board stand behindwhat an AI platform does. Written for CIOs, CTOs, CISOs, enterprise architects, and AI governance leadersin regulated industries, the book pairs a clear architectural thesis with adeployable toolkit - a 90-day launch plan, a 12-month roadmap, an AI maturityscorecard, an ROI calculator, an incident register, and a full executivestrategy pack (Appendices A-T). This is not a book about models. It is a book about the architecture, thegovernance, and the operating discipline that decide whether enterprise AIsurvives audit, scales safely, and creates durable advantage. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9798184201900
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Paperback. Condición: new. Paperback. nterprises don't need more software. They need intelligence. Most enterprise AI dies in the pilot graveyard - impressive demos that neversurvive contact with production, security, or the board. The AI Architects isthe enterprise blueprint for the organisations that refuse to join them. Across seven parts and twenty-six chapters, Professor Kai London shows how toturn trapped knowledge into governed, reusable, measurable business capability: the enterprise AI reference architecture, the intelligent document pipeline, RAG and cognitive search, the AI software delivery lifecycle and release gates, the platform operating model, and the governance that lets a board stand behindwhat an AI platform does. Written for CIOs, CTOs, CISOs, enterprise architects, and AI governance leadersin regulated industries, the book pairs a clear architectural thesis with adeployable toolkit - a 90-day launch plan, a 12-month roadmap, an AI maturityscorecard, an ROI calculator, an incident register, and a full executivestrategy pack (Appendices A-T). This is not a book about models. It is a book about the architecture, thegovernance, and the operating discipline that decide whether enterprise AIsurvives audit, scales safely, and creates durable advantage. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798184201900
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