Head of Customer Operations, Vidora
Shawn is an experienced team leader and executive in the Enterprise SaaS space, with a background in Analytics, Marketing Automation, and AI/ML. Currently, as Head of Customer Operations at Vidora, Shawn works closely with new customers to set up, and iterate on, Machine Learning Pipelines in order to deliver tangible business value.
All Sessions by Shawn Azman
Data Automation: The Backbone of Real-time Machine Learning
Machine learning enables businesses to continuously automate and improve key business metrics increasing top-line revenues and decreasing costs. Recently there is increased interest around real-time machine learning which enables a business to leverage real-time user signals, in the millisecond time-range, and use those signals to optimize consumer experiences. Underlying any production real-time machine learning deployment is data automation. Data automation is required to both obtain a reliable stream of inputs to model training and to perform real-time inference. In addition, data automation is a prerequisite within the real-time machine learning pipeline for tasks like feature engineering.