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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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. Artikel-Nr. 135358970
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