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@@ -410,7 +410,8 @@ An updated and curated list of selected readings to illustrate High Scalability,
 * [AIOps in Practice at Baidu](https://www.usenix.org/conference/srecon17asia/program/presentation/qu)
 * [Scalable Deep Learning Platform on Spark at Baidu](https://www.slideshare.net/JenAman/scalable-deep-learning-platform-on-spark-in-baidu)
 * [PaddlePaddle Fluid: Elastic Deep Learning on Kubernetes at Baidu](http://research.baidu.com/paddlepaddle-fluid-elastic-deep-learning-kubernetes/)
-* [Horovod: Open Source Distributed Deep Learning Framework for TensorFlow at Uber](https://eng.uber.com/horovod/)	
+* [Horovod: Open Source Distributed Deep Learning Framework for TensorFlow at Uber](https://eng.uber.com/horovod/)
+* [COTA: Improving Customer Care with NLP & Machine Learning at Uber](https://eng.uber.com/cota/)	
 * [Scaling Gradient Boosted Trees for Click-Through-Rate Prediction at Yelp](https://engineeringblog.yelp.com/2018/01/building-a-distributed-ml-pipeline-part1.html)
 * [TensorFlowOnSpark: Distributed Deep Learning on Big Data Clusters at Yahoo](https://yahooeng.tumblr.com/post/157196488076/open-sourcing-tensorflowonspark-distributed-deep)
 * [CaffeOnSpark: Distributed Deep Learning on Big Data Clusters at Yahoo](https://yahooeng.tumblr.com/post/139916828451/caffeonspark-open-sourced-for-distributed-deep)