Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult is For or Against a political issue. Based on a set of basic demographics, the model identifies individuals who are likely to be For or Against a specific issue. The model was trained with data from Prosper's...
Model Package - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult Watches Sports on their Mobile. Lift over Random 2.26. 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
This post-pandemic Propensity Model determines the probability that a US adult Drinks Rum. Lift over Random 1.80. 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 Behaviors &...
Model Package - Fulfilled on Amazon SageMaker
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Jump start your ability to understand the type of Lower Lumbar risks in your operation. Model output includes bends, twists, lower lumbar score.
Model Package - Fulfilled on Amazon SageMaker
A comprehensive AI/ML platform solution offering, covering the entire breadth of manufacturing operations and its supply chain, providing solutions for lead time insights, demand forecasting, production scheduling, inventory management through optimization as well as dynamic slotting, predictive...
This post-pandemic Propensity Model determines the probability that a US adult Uses Health Apps. Lift over Random 1.27. 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
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
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