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A Gradient Boosted Decision Tree for regression on dense data set like CSV without translating the data set into other formats like recordIO. The algorithm scales efficiently across multi-cores on a single AWS EC2 Instance out of the box.

Algorithm - Fulfilled on Amazon SageMaker


Cloud Network Cost Forecasting generates 24 hours forward forecast of network cost using historical data. This solution will help businesses to better optimize their on-cloud network infrastructure and foresee their cost fluctuations. It uses ensemble ML algorithms with automatic model selection...

Model Package - Fulfilled on Amazon SageMaker

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Using predictive modeling and machine learning techniques, CARE™ Disease Prediction analyzes more than 14 billion medical claims to identify early indicators of disease for local markets and disease onset across the United States. These predictions give you the information you need to plan outreach...

Model Package - Fulfilled on Amazon SageMaker


InfraGraf Bandwidth Usage Forecasting helps businesses assess their network usage based on historic data. This will help to manage network requirements and make cost-efficient decisions. It uses ensemble ML algorithms with automatic model selection algorithms. This solution provides consistent and...

Model Package - Fulfilled on Amazon SageMaker


A high frequency of issues can generate an overwhelming number of help desk tickets and incorrect delegation to teams to handle them. This leads to a spike in MTTR (mean time taken to resolve) and a dip in FCR (First Call Resolution). The solution mitigates these issues by training a multi-factor...

Algorithm - Fulfilled on Amazon SageMaker


ClosedLoop's end to end machine learning platform allows users to go from raw, messy EHR, claims, labs, SDoH, device, and other patient linkable data streams to production deployed predictive models in just 24 hours. The predicted outcome is a diagnosis code for a pathological fracture in the next...

Model Package - Fulfilled on Amazon SageMaker


Predicting future volume of incident tickets is a critical task in managing the operations of a service in order to keep the operations within the permissible boundaries of SLA (Service Level Agreement).Incident Service Ticket Volume Predictor helps an organization by predicting future volumes of ...

Model Package - Fulfilled on Amazon SageMaker

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Using predictive modeling and machine learning techniques, CARE™ Disease Prediction analyzes more than 14 billion medical claims to identify early indicators of disease for local markets and disease onset across the United States. These predictions give you the information you need to plan outreach...

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


A part of Wipro HOLMES™ E-KYC product, IEF Controller Extractor helps you to identify controllers (CEO, CTO, Chairman etc.) of an organization using the annual report of the organization. Currently annual reports of only '.pdf' form are supported. It is recommended that the model be used in batch...

Model Package - Fulfilled on Amazon SageMaker