University of South Florida 3 credits ISM
Develop the strategic and architectural judgment needed to design data ecosystems to support AI-enabled business transformation. Learn how data strategy, data quality, governance, and platform architecture interact to enable scalable and reliable AI systems. Focuses on architectural and managerial decision making rather than technical implementation. Evaluate modern data platforms such as data warehouses, data lakes, streaming systems, and vector databases. Emphasis is placed on assessing data readiness, designing data flows, and selecting architectures that balance performance, cost, scalability, and governance. Through case analysis and design exercises, learn to develop enterprise data strategies and platform architectures that support AI-driven decision systems. Prerequisite: None Corequisite: None USF Muma College of Business | School of Information Systems Credit Hours: 3
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