Scaling Databases in the AI Era: Insights from Andy Pavlo (Carnegie Mellon University)
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Revolutionizing Database Education and Technology
This chapter examines the transformation of university database courses from theoretical to practical frameworks, aligning educational outcomes with industry needs. It delves into the rise of vector databases and their integration with AI technologies, emphasizing their enhanced capabilities for similarity searches. Additionally, it contrasts different database storage methods and stresses the necessity for scalable architectures in the evolving landscape influenced by AI.
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