Optimizing the Enterprise in the AI-Native Era, Volume 4 (Paperback)
Idioma: inglés
Editorial: Independently Published, 2026
Serie: Libro 4 de 4 - Optimizing the Enterprise in the AI-Native Era
- Tapa blanda
- Nuevo
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
Vendedor de IberLibro desde 12 de octubre de 2005
Condición: Nuevo
EUR 20,21
Cantidad disponible: 1 disponible
Añadir al carritoDescripción del artículo del vendedor
Paperback. Three years, a $4.17 million platform, and the maturity score has not moved.Ashgrove Group built the data foundation, the semantic layer and the governance. All six maturity dimensions reached level 3. The system score is still 1, held there by three capabilities that have never had an owner.Every gap is a people or operations gap. Not one is solved by more architecture.The half of the programme that does not finishData foundations, semantic layers and governance frameworks reach a level and stop requiring continuous effort. People and organization takes two and a half years to move one level and needs that effort permanently - because people leave, roles change, and every new decision needs its own redesign.A programme judged complete when the technical work is complete has judged itself on the half that finishes.What you will be able to doBuild a role tier matrix and stop spending a literacy budget on the people who already know - 196 of 410 places went to the wrong groupChoose between centralized, hub-and-spoke and mesh by readiness rather than aspiration, and know why a mesh fails when capability is unevenWrite a redesigned role description whose removal section names a task and its hours - the three decisions that reached A2 were the three with oneKeep a decision inventory, not just a data catalogue: Ashgrove's fourth automated decision ran 31,000 times before an audit found itRun DataOps, MLOps, DecisionOps and AgentOps as four disciplines, and know why an agent at 94% completion can be making the decision worseApply the five agent autonomy levels and their promotion conditions - and catch the release note that silently moved an agent from L1 to L2Measure uplift against a control, and report supported and delivered in separate columnsDecide which divisions should not be scaled into, and say so in the planEvery number was produced by running the codeNinety-two check chains bind every figure in this volume to one data sheet, and two of them tie it to Volumes 1 and 2. The chains caught real errors during writing - an overstated claim, a confused pair of cost figures, a miscounted average - and the book says which ones.Reads on its ownChapter 47 reproduces what this volume depends on: the tier layer map, the Ashgrove figures, and the five findings from Volumes 1 to 3 that its arguments rest on.Sixteen chapters, ten self-test questions each with explained answers. Four appendices including the agent evaluation suite, a 25-role matrix, and a 182-term glossary shared across the series. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…
N° de ref. del artículo 9798174011007
- Título
- Optimizing the Enterprise in the AI-Native Era, Volume 4 (Paperback)
- Autor
- Vu Tri Cong Mobiluck - Code247 Ai
- Editorial
- Independently Published
- Año de publicación
- 2026
- Estado
- new
- Encuadernación
- Paperback
- Idioma
- inglés
- ISBN 13
- 9798174011007
- Serie
- Libro 4 de 4: Optimizing the Enterprise in the AI-Native Era
Three years, a $4.17 million platform, and the maturity score has not moved.
Ashgrove Group built the data foundation, the semantic layer and the governance. All six maturity dimensions reached level 3. The system score is still 1, held there by three capabilities that have never had an owner.
Every gap is a people or operations gap. Not one is solved by more architecture.
The half of the programme that does not finish
Data foundations, semantic layers and governance frameworks reach a level and stop requiring continuous effort. People and organization takes two and a half years to move one level and needs that effort permanently — because people leave, roles change, and every new decision needs its own redesign.
A programme judged complete when the technical work is complete has judged itself on the half that finishes.
What you will be able to do
- Build a role × tier matrix and stop spending a literacy budget on the people who already know — 196 of 410 places went to the wrong group
- Choose between centralized, hub-and-spoke and mesh by readiness rather than aspiration, and know why a mesh fails when capability is uneven
- Write a redesigned role description whose removal section names a task and its hours — the three decisions that reached A2 were the three with one
- Keep a decision inventory, not just a data catalogue: Ashgrove's fourth automated decision ran 31,000 times before an audit found it
- Run DataOps, MLOps, DecisionOps and AgentOps as four disciplines, and know why an agent at 94% completion can be making the decision worse
- Apply the five agent autonomy levels and their promotion conditions — and catch the release note that silently moved an agent from L1 to L2
- Measure uplift against a control, and report supported and delivered in separate columns
- Decide which divisions should not be scaled into, and say so in the plan
Every number was produced by running the code
Ninety-two check chains bind every figure in this volume to one data sheet, and two of them tie it to Volumes 1 and 2. The chains caught real errors during writing — an overstated claim, a confused pair of cost figures, a miscounted average — and the book says which ones.
Reads on its own
Chapter 47 reproduces what this volume depends on: the tier × layer map, the Ashgrove figures, and the five findings from Volumes 1 to 3 that its arguments rest on.
Sixteen chapters, ten self-test questions each with explained answers. Four appendices including the agent evaluation suite, a 25-role matrix, and a 182-term glossary shared across the series.
“Sinopsis” puede pertenecer a otra edición de este título.
Grand Eagle Retail
Bensenville, IL, Estados Unidos de America
Vendedor de IberLibro desde 12 de octubre de 2005
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