Isbn: 9798171518547 - data governance, infrastructure, and ai project leadership: building and leading the integrated practice of the ai-era enterprise (4 risultati)

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  • Lingua: Inglese

    Editore: WENDE, 2026

    9798171518547

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

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    EUR 45,33

    EUR 5,84 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. Ouanhlee, Pharanun (illustratore).

  • Lingua: Inglese

    Editore: Independently Published, 2026

    9798171518547

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    • Print on Demand

    Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail

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    EUR 50,68

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    Quantità: 1 disponibili

    Paperback. Condizione: new. Paperback. Artificial intelligence does not create lasting organisational value through models alone. It depends on governed data, dependable infrastructure, disciplined delivery, responsible practice, and leadership capable of bringing them together.Data Governance, Infrastructure, and AI Project Leadership presents these elements as one integrated enterprise practice. Written for postgraduate students, researchers, managers, technology professionals, and organisational leaders, the textbook connects the strategic governance of data with the technical foundations of AI and the practical realities of leading AI initiatives.Across fifteen structured chapters, readers will examine: - the intellectual foundations and strategic purpose of data governance;- data operating models and the office of the chief data officer;- data quality, metadata, master-data management, privacy, and protection;- enterprise data architecture and the modern AI infrastructure stack;- cloud, edge, and hybrid deployment decisions;- MLOps and the operation of production AI systems;- AI project methods, delivery lifecycles, teams, and stakeholder engagement;- risk, regulatory compliance, ethics, and responsible AI;- AI centres of excellence, enterprise scaling, and value measurement.Composite opening scenarios place each chapter's concepts in realistic organisational settings. Thirty case studies connect the discussion to practice across industries and regions, while figures, tables, synthesis sections, and reflection and application questions support teaching, independent study, and professional development.Rather than treating governance, infrastructure, project delivery, and responsible AI as separate concerns, this textbook demonstrates why they must be designed and led as a coherent whole. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Ouanhlee, Pharanun (illustratore). …

  • Lingua: Inglese

    Editore: Independently published, 2026

    9798171518547

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    Da: California Books, Miami, FL, U.S.A.California Books

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    Condizione: Nuovo

    EUR 50,69

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    Spedito in U.S.A.

    Quantità: Più di 20 disponibili

    Condizione: New. Print on Demand. Ouanhlee, Pharanun (illustratore).

  • Lingua: Inglese

    Editore: Independently Published, 2026

    9798171518547

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    • Print on Demand

    Da: CitiRetail, Stevenage, Regno UnitoCitiRetail

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    Condizione: Nuovo

    EUR 50,28

    EUR 43,02 spedizione 
    Spedito da Regno Unito a U.S.A.

    Quantità: 1 disponibili

    Paperback. Condizione: new. Paperback. Artificial intelligence does not create lasting organisational value through models alone. It depends on governed data, dependable infrastructure, disciplined delivery, responsible practice, and leadership capable of bringing them together.Data Governance, Infrastructure, and AI Project Leadership presents these elements as one integrated enterprise practice. Written for postgraduate students, researchers, managers, technology professionals, and organisational leaders, the textbook connects the strategic governance of data with the technical foundations of AI and the practical realities of leading AI initiatives.Across fifteen structured chapters, readers will examine: - the intellectual foundations and strategic purpose of data governance;- data operating models and the office of the chief data officer;- data quality, metadata, master-data management, privacy, and protection;- enterprise data architecture and the modern AI infrastructure stack;- cloud, edge, and hybrid deployment decisions;- MLOps and the operation of production AI systems;- AI project methods, delivery lifecycles, teams, and stakeholder engagement;- risk, regulatory compliance, ethics, and responsible AI;- AI centres of excellence, enterprise scaling, and value measurement.Composite opening scenarios place each chapter's concepts in realistic organisational settings. Thirty case studies connect the discussion to practice across industries and regions, while figures, tables, synthesis sections, and reflection and application questions support teaching, independent study, and professional development.Rather than treating governance, infrastructure, project delivery, and responsible AI as separate concerns, this textbook demonstrates why they must be designed and led as a coherent whole. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Ouanhlee, Pharanun (illustratore). …