Dev Ops for Data Science

Dev Ops for Data Science

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Student Spotlight: Aaron Payne, Data Analyst

Aaron Payne, an MBA student at Georgia Tech studying business analytics and a Senior Insights Analyst at Chick-fil-A, joins Kyle Polich to talk about turning analytics into decisions that matter. They unpack a real-world forecasting project with Comfama in Colombia, including mes ...  Show more

The Future is Agentic in Recommender Systems

Kyle Polich sits down with Yashar Deldjoo, research scientist and Associate Professor at the Polytechnic University of Bari, to explore how recommender systems have evolved and why trustworthiness matters. They unpack key dimensions of responsible AI, including robustness to adve ...  Show more

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Data scientists and engineers don’t always play well together. Data scientists will plan out a solution, carefully build models, test them in notebooks, then throw that solution over the wall to engineering. Implementing that solution can take months.

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As the race to deliver applications ramps up, the wall between development and operations comes crashing down. When it does, those on both sides learn to work together like never before. But what is DevOps, really? Developer guests, including Microsoft’s Scott Hanselman and Cindy ...  Show more

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