Artificial Intelligence in Production: Practical Engineering Beyond Theory

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Bol 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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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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Merk LAP LAMBERT Academic Publishing
EAN
  • 9786209843686
Maat


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