Temple University 3 credits MIS
This course provides business leaders with essential knowledge of data infrastructure requirements for successful AI implementations. Students will learn data quality assessment techniques, retrieval methods, and the fundamentals of data hosting solutions, including cloud platforms and data centers. The course covers critical topics such as data governance, access management, security protocols, and scalability considerations for AI systems. Through practical exercises, students will understand how to evaluate data readiness for AI projects, design data workflows, and make informed decisions about data infrastructure investments that support organizational AI initiatives.
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