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dc.contributorAhmed, Ceifelnasr-
dc.contributor.authorCagle, Anton-
dc.date.accessioned2026-09-03T06:49:23Z-
dc.date.available2026-09-03T06:49:23Z-
dc.date.issued2025-
dc.identifier.urihttp://thuvienso.thanglong.edu.vn//handle/TLU/14742-
dc.description.abstractWhat You Will Learn: Understand the algorithms and processes that enable AI to make accurate predictions and enhance decision making. Grasp the concept of metasystems and their role in the design phase of AI applications. Know how data, machine learning, and reasoners drive the functionality and decision-making capabilities of AI applications.Know the architectural components necessary for scalable and maintainable multi-agent AI applications. Understand methodologies for testing AI applications, ensuring their robustness, accuracy, and reliability in real-world applications.Understand the evolving dynamics of human-AI coordination facing teams in the new enterprise working environment.vi
dc.format.extent282 pvi
dc.language.isoenvi
dc.publisherApress,vi
dc.subjectApplication softwarevi
dc.subjectArtificial intelligencevi
dc.subjectỨng dụng AI trong doanh nghiệpvi
dc.subjectPhần mềm ứngvi
dc.titleArchitecting Enterprise AI Applications :A Guide to Designing Reliable, Scalable, and Secure Enterprise-Grade AI Solutionsvi
dc.typeSách/Bookvi
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