HCA: Predicting Patient Outcomes in Real-time with H2O

As the leading healthcare provider with 169 hostpials, 116 surgury centers, over 200,000 employees,and 26 mllion patient encounters per year, HCA is always looking for ways to improve patient care and manage costs. #ai #machinelearning #ai #deeplearning #ml 

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AI & Capital One: Preventing Downtime with Mobile Transaction Forecasing and Anomaly Detection

Mobile bankng is a key application for Capital One serving millions of customers per day. Predicting infrastructure issues before they become bottlenecks and impact customer transactions is a key goal of the technology operations group. Effective prediction requires has to scale across large datasets and take into account a variety of time series factors that […]

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