This post-pandemic Propensity Model determines the probability that a US adult has OCD. Lift over Random 2.63. 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
The MTTR (Mean Time to Resolution) predictor is an AI/ML based solution which predicts the time taken by a service agent to solve a specific ticket or an incident request. The solution learns the efficiency, experience and workload management metrics for various ticket types solved by service...
Model Package - Fulfilled on Amazon SageMaker
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Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer is a Target Clothing Shopper. Based on a set of basic demographics, the model identifies individuals likely to shop at Target for Clothing. The model was trained with data from Prosper's large...
Model Package - Fulfilled on Amazon SageMaker
This solution takes an annual report in a digital PDF format as input, and returns the JSON data corresponding to the extracted tabular data from the report's Cash Flow statements. The solution utilizes computer vision techniques to identify the pages with tables, as well as text-based...
Model Package - Fulfilled on Amazon SageMaker
A Gradient Boosted Decision Tree for classification on sparse 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
Perks: Reusable and Easy Deployment: Our solution is designed to be reusable, so it can be easily deployed on AWS infrastructure and does not require significant modifications when applied to different farms or projects. Accurate and Reliable Power Forecasts: Our solution uses advanced analytics...
CyGlass provides a hybrid network defense security cloud. Our hybrid network defense cloud uncovers risks and threats across network, cloud, user, VPN, and IoT threat surfaces. By combining AI, cross-event correlation, threat intelligence, and harmonized policy controls, CyGlass delivers a concise...
Ensuring the uptime and performance of field assets is critical, and advancements in cloud technology have enabled new ways to monitor devices and ensure that the machines are running optimally. With this consulting offer, TensorIoT will implement a fully functioning anomaly detection system for...
An implicit feedback matrix factorization model. Uses a classic matrix factorization approach, with latent vectors used to represent both users and items. Their dot product gives the predicted score for a user-item pair. The model is trained through negative sampling: for any known user-item pair,...
Algorithm - Fulfilled on Amazon SageMaker
Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer shops at a specific retailer. Based on a set of basic demographics, the model identifies individuals who are likely to shop at that retailer. The model was trained with data from Prosper's large...
Model Package - Fulfilled on Amazon SageMaker
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