Abstract Many organizations today are looking for ways to run Machine Learning (ML) models in operational systems at scale. Data Scientists…

Introduction Over the last many years, analytical dashboards have proliferated enterprises from the boardroom to the manufacturing line. As businesses have become increasingly more reliant on analytics, end users have started to demand snappier performance from their dashboards. Gone are the days that visualizations are used simply for historical data. Data professionals are now using them for predictive and prescriptive analytics on petabytes of information, expecting the most real-time…