This monograph addresses the engineering challenges of deploying and operating AI systems in real-world environments. It focuses on data infrastructure for production AI, model deployment constraints, reliability and observability, human-AI interaction, scaling AI in enterprise settings, security and robustness, and economic impact. The book shifts the emphasis from model-centric thinking to system-oriented design, offering actionable frameworks for building resilient, maintainable, and cost-effective industrial AI systems.
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Aleksandr Polezhaev is a researcher specializing in distributed systems, cybersecurity, and cloud infrastructure. His work focuses on post-password authentication architectures, scalable cloud-native system design, and the engineering of reliable production AI systems.
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Paperback. Zustand: new. Paperback. This monograph addresses the engineering challenges of deploying and operating AI systems in real-world environments. It focuses on data infrastructure for production AI, model deployment constraints, reliability and observability, human-AI interaction, scaling AI in enterprise settings, security and robustness, and economic impact. The book shifts the emphasis from model-centric thinking to system-oriented design, offering actionable frameworks for building resilient, maintainable, and cost-effective industrial AI systems. 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 9786209843686
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This monograph addresses the engineering challenges of deploying and operating AI systems in real-world environments. It focuses on data infrastructure for production AI, model deployment constraints, reliability and observability, human-AI interaction, scaling AI in enterprise settings, security and robustness, and economic impact. The book shifts the emphasis from model-centric thinking to system-oriented design, offering actionable frameworks for building resilient, maintainable, and cost-effective industrial AI systems. Bestandsnummer des Verkäufers 9786209843686
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Paperback. Zustand: new. Paperback. This monograph addresses the engineering challenges of deploying and operating AI systems in real-world environments. It focuses on data infrastructure for production AI, model deployment constraints, reliability and observability, human-AI interaction, scaling AI in enterprise settings, security and robustness, and economic impact. The book shifts the emphasis from model-centric thinking to system-oriented design, offering actionable frameworks for building resilient, maintainable, and cost-effective industrial AI systems. 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 9786209843686
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Taschenbuch. Zustand: Neu. Artificial Intelligence in Production | Practical Engineering Beyond Theory | Aleksandr Polezhaev | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209843686 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 135358970
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