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Explore techniques for visualizing and analyzing event sequence data in this 58-minute conference talk presented by Sean Taylor from Motif Analytics. Discover how to effectively handle high-dimensional, low-level event data from web and mobile applications without resorting to premature aggregation. Learn about promising approaches for studying event sequences, focusing on exploratory analysis and hypothesis generation tasks. Gain insights into the connections between causal inference techniques using panel data, deep learning architectures for dimensionality reduction, and generative AI for summarizing complex sequences. Benefit from the speaker's extensive experience in data science, including his work at Lyft and Facebook, as he shares valuable methodologies for extracting business value from event sequence data.
