Verwandte Artikel zu GHOST IN THE MACHINE: The Hidden Intelligence Shaping...
GHOST IN THE MACHINE: The Hidden Intelligence Shaping Modern Maintenance (The Smart Maintenance 4.0 Library) - Softcover
Buch 27 von 32: The Smart Maintenance 4.0 Library
Inhaltsangabe
The dashboard was green. The algorithm was confident. Three weeks later, the compressor seized.
Modern maintenance has entered a new era. Sensors watch our equipment around the clock. Algorithms predict failures before they happen. Dashboards display health scores with confident precision. The technology is impressive—and increasingly, it's making decisions that humans used to make.
But what happens when we stop questioning what the machines tell us?
Ghost in the Machine pulls back the curtain on the invisible forces shaping industrial reliability: the data, algorithms, and feedback loops that quietly determine when equipment fails, when it survives, and who is accountable when things go wrong. This is not another book celebrating the promise of AI and predictive analytics. It's a clear-eyed examination of where intelligent systems genuinely help—and where blind trust in technology creates dangerous new failure modes.
Written for maintenance professionals, reliability engineers, and operations leaders, this book explores:
- Why data is never neutral—and how bias gets baked into sensors, thresholds, and alerts
- How feedback loops silently train people to ignore warnings and normalize bad signals
- What predictive maintenance actually does well, and what vendors won't tell you
- Why experienced technicians get overruled by charts—and what organizations lose when they do
- How "perfect" systems fail harder than imperfect ones
- Who is accountable when an algorithm misses a failure
Ghost in the Machine challenges leaders and technicians alike to rethink the relationship between human judgment and automated systems. The machines are learning. The question is whether we'll remain smart enough to stay in charge.
The ghost in modern maintenance isn't the algorithm. It's us—our judgment, our experience, our accountability. This book is about keeping that ghost alive.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Suchergebnisse für GHOST IN THE MACHINE: The Hidden Intelligence Shaping...
Beispielbild für diese ISBN
Ghost in the Machine (Paperback)
Print-on-DemandAnbieter: Grand Eagle Retail, Bensenville, IL, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: new. Paperback. The dashboard was green. The algorithm was confident. Three weeks later, the compressor seized.Modern maintenance has entered a new era. Sensors watch our equipment around the clock. Algorithms predict failures before they happen. Dashboards display health scores with confident precision. The technology is impressive-and increasingly, it's making decisions that humans used to make.But what happens when we stop questioning what the machines tell us?Ghost in the Machine pulls back the curtain on the invisible forces shaping industrial reliability: the data, algorithms, and feedback loops that quietly determine when equipment fails, when it survives, and who is accountable when things go wrong. This is not another book celebrating the promise of AI and predictive analytics. It's a clear-eyed examination of where intelligent systems genuinely help-and where blind trust in technology creates dangerous new failure modes.Written for maintenance professionals, reliability engineers, and operations leaders, this book explores: Why data is never neutral-and how bias gets baked into sensors, thresholds, and alertsHow feedback loops silently train people to ignore warnings and normalize bad signalsWhat predictive maintenance actually does well, and what vendors won't tell youWhy experienced technicians get overruled by charts-and what organizations lose when they doHow "perfect" systems fail harder than imperfect onesWho is accountable when an algorithm misses a failureGhost in the Machine challenges leaders and technicians alike to rethink the relationship between human judgment and automated systems. The machines are learning. The question is whether we'll remain smart enough to stay in charge.The ghost in modern maintenance isn't the algorithm. It's us-our judgment, our experience, our accountability. This book is about keeping that ghost alive. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9798261958703
Beispielbild für diese ISBN
GHOST IN THE MACHINE: The Hidden Intelligence Shaping Modern Maintenance (The Smart Maintenance 4.0 Library)
Print-on-DemandAnbieter: California Books, Miami, FL, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Print on Demand. Bestandsnummer des Verkäufers I-9798261958703
Neu kaufen
EUR 20,23
Versand gratis
Versand innerhalb von USA
Versand innerhalb von USA
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Ghost in the Machine
Anbieter: PBShop.store US, Wood Dale, IL, USA
Verkäuferbewertung 5 von 5 Sternen
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Bestandsnummer des Verkäufers L2-9798261958703
Neu kaufen
EUR 20,89
Versand gratis
Versand innerhalb von USA
Versand innerhalb von USA
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Ghost in the Machine
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Bestandsnummer des Verkäufers L2-9798261958703
Neu kaufen
EUR 19,35
EUR 3,89 Versand
Versand von Vereinigtes Königreich nach USA
Versand von Vereinigtes Königreich nach USA
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Ghost in the Machine (Paperback)
Print-on-DemandAnbieter: CitiRetail, Stevenage, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: new. Paperback. The dashboard was green. The algorithm was confident. Three weeks later, the compressor seized.Modern maintenance has entered a new era. Sensors watch our equipment around the clock. Algorithms predict failures before they happen. Dashboards display health scores with confident precision. The technology is impressive-and increasingly, it's making decisions that humans used to make.But what happens when we stop questioning what the machines tell us?Ghost in the Machine pulls back the curtain on the invisible forces shaping industrial reliability: the data, algorithms, and feedback loops that quietly determine when equipment fails, when it survives, and who is accountable when things go wrong. This is not another book celebrating the promise of AI and predictive analytics. It's a clear-eyed examination of where intelligent systems genuinely help-and where blind trust in technology creates dangerous new failure modes.Written for maintenance professionals, reliability engineers, and operations leaders, this book explores: Why data is never neutral-and how bias gets baked into sensors, thresholds, and alertsHow feedback loops silently train people to ignore warnings and normalize bad signalsWhat predictive maintenance actually does well, and what vendors won't tell youWhy experienced technicians get overruled by charts-and what organizations lose when they doHow "perfect" systems fail harder than imperfect onesWho is accountable when an algorithm misses a failureGhost in the Machine challenges leaders and technicians alike to rethink the relationship between human judgment and automated systems. The machines are learning. The question is whether we'll remain smart enough to stay in charge.The ghost in modern maintenance isn't the algorithm. It's us-our judgment, our experience, our accountability. This book is about keeping that ghost alive. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9798261958703
Neu kaufen
EUR 23,11
EUR 43,71 Versand
Versand von Vereinigtes Königreich nach USA
Versand von Vereinigtes Königreich nach USA
Anzahl: 1 verfügbar