In this episode, Lucas and Luna explore how Anthology, the edtech giant serving over 150 million students globally, uses artificial intelligence to personalize the higher education experience. They dive into the company's AI-powered advising platform that analyzes student data to predict drop-out risk and recommend interventions. Lucas breaks down how Anthology processes over 1.5 billion data points each semester, and why their approach differs from simpler rule-based systems. Luna asks the key question: does this actually improve graduation rates? They look at a case study from the University of Texas system, where early pilot programs saw a 6% increase in retention. The conversation also touches on privacy concerns, the shift from reactive to proactive student support, and what this means for the future of university administration. Specific, concrete, and thought-provoking for anyone in education or business.

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