Isbn: 9781394362042 - ai powered digital twins: a guide for humans, engineers, and enterprises (21 risultati)

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  • Lingua: Inglese

    Editore: John Wiley and Sons, 2026

    1394362048 / 9781394362042

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  • Lingua: Inglese

    Editore: Wiley, 2026

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  • Lingua: Inglese

    Editore: John Wiley and Sons Inc, US, 2026

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    Paperback. Condizione: New. Build secure, effective digital twins using proven engineering principles and AI foundations AI Powered Digital Twins: A Guide for Humans, Engineers, and Enterprises provides a unified framework for implementing digital twin systems where AI agents reason, act, and remain governed. Hala Nelson lays out a 12-layer engineering architecture spanning raw data ingestion, semantic spine, event, native core, agent reasoning loops, simulation, Zero Trust security, and governance lifecycle. The architecture targets systems that must perform in critical infrastructure rather than demonstrations. The book delivers a human-centered Standard of Care framework alongside real-world case studies from critical infrastructure and system engineering. Readers gain practical guidance on integrating AI, data engineering, asset tagging, knowledge graphs and quantum computing within digital twin environments. Coverage includes accountability frameworks modeled on the rigor of aviation, healthcare, and civil engineering, plus an AI and data strategy designed to translate directly into measurable business value. The book stresses engineering discipline to bridge the gap between AI investment and real-world delivery. The book contains: How AI agents reason, act, and stay governed within digital twins using Zero Trust security and governance controlsA modular architecture for blending physical and virtual worlds while protecting safety across operational technology environmentsAccountability frameworks modeled on aviation, healthcare, and civil engineering that hold AI systems to a standard of careCase studies demonstrating implementation strategies for manufacturing and integrated system engineeringAn AI and data strategy that translates into measurable business value rather than a policy document on a shelf 17 chapters. One architecture. Zero handwaving about security. A must-read for engineers, architects, technical leaders, strategists, and the policymakers who depend on their judgment.

  • Lingua: Inglese

    Editore: John Wiley & Sons Inc, New York, 2026

    1394362048 / 9781394362042

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    Paperback. Condizione: new. Paperback. Build secure, effective digital twins using proven engineering principles and AI foundations AI Powered Digital Twins: A Guide for Humans, Engineers, and Enterprises provides a unified framework for implementing digital twin systems where AI agents reason, act, and remain governed. Hala Nelson lays out a 12-layer engineering architecture spanning raw data ingestion, semantic spine, event, native core, agent reasoning loops, simulation, Zero Trust security, and governance lifecycle. The architecture targets systems that must perform in critical infrastructure rather than demonstrations. The book delivers a human-centered Standard of Care framework alongside real-world case studies from critical infrastructure and system engineering. Readers gain practical guidance on integrating AI, data engineering, asset tagging, knowledge graphs and quantum computing within digital twin environments. Coverage includes accountability frameworks modeled on the rigor of aviation, healthcare, and civil engineering, plus an AI and data strategy designed to translate directly into measurable business value. The book stresses engineering discipline to bridge the gap between AI investment and real-world delivery. The book contains: How AI agents reason, act, and stay governed within digital twins using Zero Trust security and governance controlsA modular architecture for blending physical and virtual worlds while protecting safety across operational technology environmentsAccountability frameworks modeled on aviation, healthcare, and civil engineering that hold AI systems to a standard of careCase studies demonstrating implementation strategies for manufacturing and integrated system engineeringAn AI and data strategy that translates into measurable business value rather than a policy document on a shelf 17 chapters. One architecture. Zero handwaving about security. A must-read for engineers, architects, technical leaders, strategists, and the policymakers who depend on their judgment. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

  • Lingua: Inglese

    Editore: John Wiley and Sons Inc, US, 2026

    1394362048 / 9781394362042

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    Paperback. Condizione: New. Build secure, effective digital twins using proven engineering principles and AI foundations AI Powered Digital Twins: A Guide for Humans, Engineers, and Enterprises provides a unified framework for implementing digital twin systems where AI agents reason, act, and remain governed. Hala Nelson lays out a 12-layer engineering architecture spanning raw data ingestion, semantic spine, event, native core, agent reasoning loops, simulation, Zero Trust security, and governance lifecycle. The architecture targets systems that must perform in critical infrastructure rather than demonstrations. The book delivers a human-centered Standard of Care framework alongside real-world case studies from critical infrastructure and system engineering. Readers gain practical guidance on integrating AI, data engineering, asset tagging, knowledge graphs and quantum computing within digital twin environments. Coverage includes accountability frameworks modeled on the rigor of aviation, healthcare, and civil engineering, plus an AI and data strategy designed to translate directly into measurable business value. The book stresses engineering discipline to bridge the gap between AI investment and real-world delivery. The book contains: How AI agents reason, act, and stay governed within digital twins using Zero Trust security and governance controlsA modular architecture for blending physical and virtual worlds while protecting safety across operational technology environmentsAccountability frameworks modeled on aviation, healthcare, and civil engineering that hold AI systems to a standard of careCase studies demonstrating implementation strategies for manufacturing and integrated system engineeringAn AI and data strategy that translates into measurable business value rather than a policy document on a shelf 17 chapters. One architecture. Zero handwaving about security. A must-read for engineers, architects, technical leaders, strategists, and the policymakers who depend on their judgment.

  • Lingua: Inglese

    Editore: Wiley, 2026

    1394362048 / 9781394362042

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  • Lingua: Inglese

    Editore: Wiley, 2026

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  • Lingua: Inglese

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  • Lingua: Inglese

    Editore: Wiley, 2026

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  • Lingua: Inglese

    Editore: John Wiley & Sons Inc, 2026

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    Paperback. Condizione: Brand New. 368 pages. 6.10x0.90x8.80 inches. In Stock.

  • Lingua: Inglese

    Editore: Wiley, 2026

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  • Lingua: Inglese

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    Paperback. Condizione: Brand New. 368 pages. 6.10x0.90x8.80 inches. In Stock.

  • Lingua: Inglese

    Editore: Wiley, 2026

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  • Lingua: Inglese

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  • Lingua: Inglese

    Editore: John Wiley & Sons Inc, New York, 2026

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    Paperback. Condizione: new. Paperback. Build secure, effective digital twins using proven engineering principles and AI foundations AI Powered Digital Twins: A Guide for Humans, Engineers, and Enterprises provides a unified framework for implementing digital twin systems where AI agents reason, act, and remain governed. Hala Nelson lays out a 12-layer engineering architecture spanning raw data ingestion, semantic spine, event, native core, agent reasoning loops, simulation, Zero Trust security, and governance lifecycle. The architecture targets systems that must perform in critical infrastructure rather than demonstrations. The book delivers a human-centered Standard of Care framework alongside real-world case studies from critical infrastructure and system engineering. Readers gain practical guidance on integrating AI, data engineering, asset tagging, knowledge graphs and quantum computing within digital twin environments. Coverage includes accountability frameworks modeled on the rigor of aviation, healthcare, and civil engineering, plus an AI and data strategy designed to translate directly into measurable business value. The book stresses engineering discipline to bridge the gap between AI investment and real-world delivery. The book contains: How AI agents reason, act, and stay governed within digital twins using Zero Trust security and governance controlsA modular architecture for blending physical and virtual worlds while protecting safety across operational technology environmentsAccountability frameworks modeled on aviation, healthcare, and civil engineering that hold AI systems to a standard of careCase studies demonstrating implementation strategies for manufacturing and integrated system engineeringAn AI and data strategy that translates into measurable business value rather than a policy document on a shelf 17 chapters. One architecture. Zero handwaving about security. A must-read for engineers, architects, technical leaders, strategists, and the policymakers who depend on their judgment. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

  • Lingua: Inglese

    Editore: Wiley, 2026

    1394362048 / 9781394362042

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  • Lingua: Inglese

    Editore: John Wiley and Sons Inc, US, 2026

    1394362048 / 9781394362042

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    Paperback. Condizione: New. Build secure, effective digital twins using proven engineering principles and AI foundations AI Powered Digital Twins: A Guide for Humans, Engineers, and Enterprises provides a unified framework for implementing digital twin systems where AI agents reason, act, and remain governed. Hala Nelson lays out a 12-layer engineering architecture spanning raw data ingestion, semantic spine, event, native core, agent reasoning loops, simulation, Zero Trust security, and governance lifecycle. The architecture targets systems that must perform in critical infrastructure rather than demonstrations. The book delivers a human-centered Standard of Care framework alongside real-world case studies from critical infrastructure and system engineering. Readers gain practical guidance on integrating AI, data engineering, asset tagging, knowledge graphs and quantum computing within digital twin environments. Coverage includes accountability frameworks modeled on the rigor of aviation, healthcare, and civil engineering, plus an AI and data strategy designed to translate directly into measurable business value. The book stresses engineering discipline to bridge the gap between AI investment and real-world delivery. The book contains: How AI agents reason, act, and stay governed within digital twins using Zero Trust security and governance controlsA modular architecture for blending physical and virtual worlds while protecting safety across operational technology environmentsAccountability frameworks modeled on aviation, healthcare, and civil engineering that hold AI systems to a standard of careCase studies demonstrating implementation strategies for manufacturing and integrated system engineeringAn AI and data strategy that translates into measurable business value rather than a policy document on a shelf 17 chapters. One architecture. Zero handwaving about security. A must-read for engineers, architects, technical leaders, strategists, and the policymakers who depend on their judgment.

  • Lingua: Inglese

    Editore: John Wiley & Sons Inc, New York, 2026

    1394362048 / 9781394362042

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    Paperback. Condizione: new. Paperback. Build secure, effective digital twins using proven engineering principles and AI foundations AI Powered Digital Twins: A Guide for Humans, Engineers, and Enterprises provides a unified framework for implementing digital twin systems where AI agents reason, act, and remain governed. Hala Nelson lays out a 12-layer engineering architecture spanning raw data ingestion, semantic spine, event, native core, agent reasoning loops, simulation, Zero Trust security, and governance lifecycle. The architecture targets systems that must perform in critical infrastructure rather than demonstrations. The book delivers a human-centered Standard of Care framework alongside real-world case studies from critical infrastructure and system engineering. Readers gain practical guidance on integrating AI, data engineering, asset tagging, knowledge graphs and quantum computing within digital twin environments. Coverage includes accountability frameworks modeled on the rigor of aviation, healthcare, and civil engineering, plus an AI and data strategy designed to translate directly into measurable business value. The book stresses engineering discipline to bridge the gap between AI investment and real-world delivery. The book contains: How AI agents reason, act, and stay governed within digital twins using Zero Trust security and governance controlsA modular architecture for blending physical and virtual worlds while protecting safety across operational technology environmentsAccountability frameworks modeled on aviation, healthcare, and civil engineering that hold AI systems to a standard of careCase studies demonstrating implementation strategies for manufacturing and integrated system engineeringAn AI and data strategy that translates into measurable business value rather than a policy document on a shelf 17 chapters. One architecture. Zero handwaving about security. A must-read for engineers, architects, technical leaders, strategists, and the policymakers who depend on their judgment. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

  • Lingua: Inglese

    Editore: John Wiley & Sons Inc Sep 2026, 2026

    1394362048 / 9781394362042

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    Taschenbuch. Condizione: Neu. Neuware - Build secure, effective digital twins using proven engineering principles and AI foundations AI Powered Digital Twins: A Guide for Humans, Engineers, and Enterprises provides a unified framework for implementing digital twin systems where AI agents reason, act, and remain governed. Hala Nelson lays out a 12-layer engineering architecture spanning raw data ingestion, semantic spine, event, native core, agent reasoning loops, simulation, Zero Trust security, and governance lifecycle. The architecture targets systems that must perform in critical infrastructure rather than demonstrations. The book delivers a human-centered Standard of Care framework alongside real-world case studies from critical infrastructure and system engineering. Readers gain practical guidance on integrating AI, data engineering, asset tagging, knowledge graphs and quantum computing within digital twin environments. Coverage includes accountability frameworks modeled on the rigor of aviation, healthcare, and civil engineering, plus an AI and data strategy designed to translate directly into measurable business value. The book stresses engineering discipline to bridge the gap between AI investment and real-world delivery. The book contains: - How AI agents reason, act, and stay governed within digital twins using Zero Trust security and governance controls - A modular architecture for blending physical and virtual worlds while protecting safety across operational technology environments - Accountability frameworks modeled on aviation, healthcare, and civil engineering that hold AI systems to a standard of care - Case studies demonstrating implementation strategies for manufacturing and integrated system engineering - An AI and data strategy that translates into measurable business value rather than a policy document on a shelf 17 chapters. One architecture. Zero handwaving about security. A must-read for engineers, architects, technical leaders, strategists, and the policymakers who depend on their judgment.

  • Lingua: Inglese

    Editore: Wiley, 2026

    1394362048 / 9781394362042

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  • Lingua: Inglese

    Editore: John Wiley and Sons Inc, US, 2026

    1394362048 / 9781394362042

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    Paperback. Condizione: New. Build secure, effective digital twins using proven engineering principles and AI foundations AI Powered Digital Twins: A Guide for Humans, Engineers, and Enterprises provides a unified framework for implementing digital twin systems where AI agents reason, act, and remain governed. Hala Nelson lays out a 12-layer engineering architecture spanning raw data ingestion, semantic spine, event, native core, agent reasoning loops, simulation, Zero Trust security, and governance lifecycle. The architecture targets systems that must perform in critical infrastructure rather than demonstrations. The book delivers a human-centered Standard of Care framework alongside real-world case studies from critical infrastructure and system engineering. Readers gain practical guidance on integrating AI, data engineering, asset tagging, knowledge graphs and quantum computing within digital twin environments. Coverage includes accountability frameworks modeled on the rigor of aviation, healthcare, and civil engineering, plus an AI and data strategy designed to translate directly into measurable business value. The book stresses engineering discipline to bridge the gap between AI investment and real-world delivery. The book contains: How AI agents reason, act, and stay governed within digital twins using Zero Trust security and governance controlsA modular architecture for blending physical and virtual worlds while protecting safety across operational technology environmentsAccountability frameworks modeled on aviation, healthcare, and civil engineering that hold AI systems to a standard of careCase studies demonstrating implementation strategies for manufacturing and integrated system engineeringAn AI and data strategy that translates into measurable business value rather than a policy document on a shelf 17 chapters. One architecture. Zero handwaving about security. A must-read for engineers, architects, technical leaders, strategists, and the policymakers who depend on their judgment.