ISBN: 9798174011007 - optimizing the enterprise in the ai-native era, volume 4: running it — from people to ai agents: roles, governance, dataops to agentops, and the five levels of agent autonomy (6 resultados)

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    Taschenbuch. Condición: Neu. Neuware - 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 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 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.…

  • Idioma: Inglés

    Editorial: Independently Published, 2026

    9798174011007

    Serie: Libro 4 de 4 - Optimizing the Enterprise in the AI-Native Era

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    Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail

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    Condición: Nuevo

    EUR 20,21

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    Paperback. Condición: new. 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.…

  • Idioma: Inglés

    Editorial: Independently published, 2026

    9798174011007

    Serie: Libro 4 de 4 - Optimizing the Enterprise in the AI-Native Era

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    Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US

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    PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

  • Idioma: Inglés

    Editorial: Independently published, 2026

    9798174011007

    Serie: Libro 4 de 4 - Optimizing the Enterprise in the AI-Native Era

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    Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books

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    EUR 19,27

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    Condición: New. Print on Demand.

  • Idioma: Inglés

    Editorial: Independently published, 2026

    9798174011007

    Serie: Libro 4 de 4 - Optimizing the Enterprise in the AI-Native Era

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    Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK

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    EUR 17,52

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    PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

  • Idioma: Inglés

    Editorial: Independently Published, 2026

    9798174011007

    Serie: Libro 4 de 4 - Optimizing the Enterprise in the AI-Native Era

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    Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail

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    Paperback. Condición: new. 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.…