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Takes a Village to Raise a Machine Learning Model
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| by Lucian Vlad Lita Follow 0 Followers on Jan 16, 2016 |

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.

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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.

Software is Changing the World. QCon empowers software development by facilitating the spread of knowledge and innovation in the developer community. A practitioner-driven conference, QCon is designed for technical team leads, architects, engineering directors, and project managers who influence innovation in their teams.

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