Enterprise ai-enabled estimation framework (eaef) (5 risultati)

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  • Lingua: Inglese

    Editore: Amazon Digital Services LLC - Kdp, 2026

    9798190181043

    Serie: Libro 1 di 3 - Enterprise AI-Enabled Estimation Framework (EAEF)

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    Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US

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    Condizione: Nuovo

    EUR 29,28

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    Spedito in U.S.A.

    Quantità: Più di 20 disponibili

    PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

  • Lingua: Inglese

    Editore: Independently published, 2026

    9798190181043

    Serie: Libro 1 di 3 - Enterprise AI-Enabled Estimation Framework (EAEF)

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    Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK

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    Condizione: Nuovo

    EUR 25,23

    EUR 5,89 spedizione 
    Spedito da Regno Unito a U.S.A.

    Quantità: Più di 20 disponibili

    PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

  • Lingua: Inglese

    Editore: Amazon Digital Services LLC - Kdp Aug 2026, 2026

    9798190181043

    Serie: Libro 1 di 3 - Enterprise AI-Enabled Estimation Framework (EAEF)

    • Brossura

    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Condizione: Nuovo

    EUR 35,42

    EUR 35,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 2 disponibili

    Taschenbuch. Condizione: Neu. Neuware - Why do enterprise estimates fail even when the calculations appear precise Because organizations often approve a number before its scope, assumptions, evidence, uncertainty, and decision rights are ready to support it.Governing Enterprise Estimation establishes the governance foundation of the Enterprise AI-Enabled Estimation Framework (EAEF). It shows how to turn incomplete enterprise intent into estimates that can withstand executive, financial, commercial, delivery, and assurance scrutiny.Rather than treating an estimate as spreadsheet output, the book presents it as a controlled decision artifact connecting purpose, scope, technical baseline, evidence, assumptions, methods, uncertainty, review, approval, and permitted use.Readers will learn to establish estimation policy and decision rights; classify initiatives and determine proportionate evidence and review; govern scope, complexity, uncertainty, and readiness; build a defensible Basis of Estimate with end-to-end traceability; conduct independent challenge and baseline approval; maintain estimates through forecasting, change, closure, and calibration; and govern AI-supported estimation while preserving source lineage and human accountability.Written for executives, PMO and portfolio leaders, estimators, enterprise architects, delivery and commercial leaders, finance teams, and assurance professionals, this volume provides a practical foundation for estimates that are transparent, auditable, decision-ready, and defensible.…

  • Condizione: Nuovo

    EUR 26,56

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    Spedito in U.S.A.

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    Condizione: New. Print on Demand.

  • Lingua: Inglese

    Editore: Independently Published, 2026

    9798190181043

    Serie: Libro 1 di 3 - Enterprise AI-Enabled Estimation Framework (EAEF)

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    • Print on Demand

    Da: CitiRetail, Stevenage, Regno UnitoCitiRetail

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    Condizione: Nuovo

    EUR 29,59

    EUR 43,41 spedizione 
    Spedito da Regno Unito a U.S.A.

    Quantità: 1 disponibile

    Paperback. Condizione: new. Paperback. Why do enterprise estimates fail even when the calculations appear precise?Because organizations often approve a number before its scope, assumptions, evidence, uncertainty, and decision rights are ready to support it.Governing Enterprise Estimation establishes the governance foundation of the Enterprise AI-Enabled Estimation Framework (EAEF). It shows how to turn incomplete enterprise intent into estimates that can withstand executive, financial, commercial, delivery, and assurance scrutiny.Rather than treating an estimate as spreadsheet output, the book presents it as a controlled decision artifact connecting purpose, scope, technical baseline, evidence, assumptions, methods, uncertainty, review, approval, and permitted use.Readers will learn to establish estimation policy and decision rights; classify initiatives and determine proportionate evidence and review; govern scope, complexity, uncertainty, and readiness; build a defensible Basis of Estimate with end-to-end traceability; conduct independent challenge and baseline approval; maintain estimates through forecasting, change, closure, and calibration; and govern AI-supported estimation while preserving source lineage and human accountability.Written for executives, PMO and portfolio leaders, estimators, enterprise architects, delivery and commercial leaders, finance teams, and assurance professionals, this volume provides a practical foundation for estimates that are transparent, auditable, decision-ready, and defensible. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…