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Title: Architecting Enterprise AI Applications :A Guide to Designing Reliable, Scalable, and Secure Enterprise-Grade AI Solutions
Authors: Cagle, Anton
Keywords: Application software; Artificial intelligence; Ứng dụng AI trong doanh nghiệp; Phần mềm ứng
Issue Date: 2025
Publisher: Apress,
Abstract: What 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.
URI: http://thuvienso.thanglong.edu.vn//handle/TLU/14742
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