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

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  • Idioma: Inglés

    Editorial: WENDE, 2026

    9798171518547

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

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    Condición: Nuevo

    EUR 45,45

    Envío por EUR 5,85 
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    Cantidad disponible: Más de 20 disponibles

    PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Ouanhlee, Pharanun (ilustrador).

  • Idioma: Inglés

    Editorial: Independently Published, 2026

    9798171518547

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

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    Condición: Nuevo

    EUR 50,72

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    Cantidad disponible: 1 disponible

    Paperback. Condición: 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 (ilustrador). …

  • Idioma: Inglés

    Editorial: Independently published, 2026

    9798171518547

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

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    Condición: Nuevo

    EUR 50,73

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    Cantidad disponible: Más de 20 disponibles

    Condición: New. Print on Demand. Ouanhlee, Pharanun (ilustrador).

  • Idioma: Inglés

    Editorial: Independently Published, 2026

    9798171518547

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    Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail

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    Condición: Nuevo

    EUR 50,41

    Envío por EUR 43,13 
    Se envía de Reino Unido a Estados Unidos de America

    Cantidad disponible: 1 disponible

    Paperback. Condición: 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 (ilustrador). …