Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/1Qm6RNP.
Lucian Vlad Lita focuses on the crucial next step in personalization: well-designed software architectures for storing, computing, and delivering responsive, accurate in-product predictions and experiments. To make it concrete, he presents several Intuit use cases around anomaly detection and personalized in-product experiences. Filmed at qconsf.com.
Lucian Vlad Lita is director of Data Engineering at Intuit, leading a big data platform and large-scale real-time data services group in the US and the EU.