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SolarWinds Server Configuration Monitor (SCM) is designed to detect, track, and compare system, application, and adatavase changes in your environment. Built on the popular SolarWinds Orion Platform, you can gain systems change visibility in a unified and fullstack monitoring experience. Server,...


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. This model predicts the risk of a 30-day hospital readmission. The predicted...

Model Package - Fulfilled on Amazon SageMaker


This date-parsing model supports multi-language date/time detection and transformation to a pre-defined date format. It is based on highly accurate machine learning models. Given an input date and time, the model returns a transformed date in YYYY-MM-DD format with the attached time. Dates can be...

Model Package - Fulfilled on Amazon SageMaker


Energy Consumption Forecasting generates 30 months of forward forecast of the consumption using historical data. It uses ensemble ML algorithms with automatic model selection algorithms. This solution provides consistent and better results due to its ensemble learning approach. This solution...

Model Package - Fulfilled on Amazon SageMaker

Free Trial


Knowledgent’s Intelligent Trial Planning (ITP) platform enables clinical researchers to understand the timeline impact of Inclusion/Exclusion criteria. ITP uses Artificial Intelligence (Machine Learning & Deep Learning models) to forecast study enrollment and provide decision support through a...

Model Package - Fulfilled on Amazon SageMaker


This template will provide you with a PCI compliant architecture following the "dedicated architecture" from the Anitian AWS PCI Workbook (https://www.anitian.com/services-main/pci-aws-v2/). Includes hardened web server, app server, and jump box, plus an RDS instance.


Mphasis time series ticket forecasting helps businesses predict the number of tickets of a specific type based on historic data. This will help businesses assess the level of automation as well as human intervention required to resolve the issues and plan accordingly. It uses ensemble ML algorithms...

Model Package - Fulfilled on Amazon SageMaker

Free Trial


Random Forest classification on dense data set like LibSVM 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


Using the latest Artificial Intelligence components, Bigfinite can help you create your own root cause discovery test and convert your seemingly confusing and unrelated data into predictable content. Specifically, Bigfinite's AI Outlier Detection algorithm will enhance the predictability of your...

Algorithm - Fulfilled on Amazon SageMaker

Free Trial


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