Lucidworks Fusion is the enterprise platform for intelligent search and analytics built on top of Apache Solr and Apache Spark. Machine Learning components inside Fusion allow customers to train, test, and serve models in production using query and index pipelines. Serving predictions at query time need a performative engine with very little overhead. In this talk, we will go through the ML model life cycle in Fusion and the techniques we use to generate faster predictions in pipelines.
Kiran Chitturi is a Data Engineer at Lucidworks. He works on Lucidworks enterprise product Fusion as part of the Smart Data team at Lucidworks working on Analytics and ML features for Fusion.
Thursday October 18, 2018 2:05pm - 2:45pm EDT
Salon 1
