Effective scheduling for hospital admission is a major challenge as there is uncertainty in patient’s length of stay and large errors in estimations can lead to capacity pressures. To tackle this, Virtusa-GCTS has developed a Deep Learning based solution which will accurately predict how long a...
Model Package - Fulfilled on Amazon SageMaker
Models for recommending items given a sequence of previous implicit user/item interactions. Solves user cold start problem.
Algorithm - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult is an Auto DIYer if they regularly work on their car. Lift over Random 3.15. This post-pandemic Propensity model is one of a series of consumer classification models based on data from over 17,000 US adults surveyed in...
Model Package - Fulfilled on Amazon SageMaker
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The Product Demand Forecasting Solution is a cloud-native predictive analytics ML model that analyzes multiple data points, including historical sales data, inventory data, and growth projections to generate up to 50% more accurate product demand forecasts. The solution is scalable and...
Algorithm - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult Watches College Basketball. Lift over Random 1.65. This post-pandemic Propensity model is one of a series of consumer classification models based on data from over 17,000 US adults surveyed in 2021 from Prosper's US...
Model Package - Fulfilled on Amazon SageMaker
Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer has a specific health condition. Based on a set of basic demographics, the model identifies individuals who are likely to have the health condition. The model was trained with data from Prosper's...
Model Package - Fulfilled on Amazon SageMaker
Customer churn refers to the loss of existing clients or customers. This solution identifies newspaper customers who are more likely to discontinue their current subscription. During the training stage, the solution automatically conducts feature interaction on the training data and selects a...
Algorithm - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult uses Marijuana Regularly. Lift over Random 1.69. This post-pandemic Propensity model is one of a series of consumer classification models based on data from over 17,000 US adults surveyed in 2021 from Prosper's US Media...
Model Package - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult is Planning to Purchase Victoria's Secret. Lift over Random 1.91. This post-pandemic Propensity model is one of a series of consumer classification models based on data from over 17,000 US adults surveyed in 2021 from...
Model Package - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult is Planning to Purchase Dior. Lift over Random 2.19. This post-pandemic Propensity model is one of a series of consumer classification models based on data from over 17,000 US adults surveyed in 2021 from Prosper's US...
Model Package - Fulfilled on Amazon SageMaker
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