This solution solves a problem where physical locations need to be equipped with services or products to satisfy demand within a certain area, while minimizing costs. For example, selecting branch and ATM sites in banking domain, selecting locations for CCTVs or Air Quality sensors in cities, etc....
Model Package - Fulfilled on Amazon SageMaker
Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer is a Macy's Clothing Shopper. Based on a set of basic demographics, the model identifies individuals likely to be a Macy's Clothing Shopper. The model was trained with data from Prosper's large...
Model Package - Fulfilled on Amazon SageMaker
Each procurement transaction is automatically classified into a standard taxonomy using company description and line of business. The model classifies 95+% of total spend. Technical highlights include applying a Convolutional Neural Network (CNN) classification model. Using the data input of...
Model Package - Fulfilled on Amazon SageMaker
When a prospect unsubscribes from future email campaigns, all potential revenue from that prospect is lost. This algorithm analyzes prospect behavior and campaign frequency to identify prospects likely to opt-out. Prospects are assigned a probability of opting out of the next mailing, allowing you...
Model Package - Fulfilled on Amazon SageMaker
ClosedLoop's end to end machine learning platform allows our data scientists or your own internal data science team 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...
Model Package - Fulfilled on Amazon SageMaker
ClosedLoop's end to end machine learning platform 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 the probability of an all-cause hospital admission within 6...
Model Package - Fulfilled on Amazon SageMaker
Customer churn refers to the loss of existing clients or customers. This solution identifies insurance customers who are more likely to close/not renew their policies with the insurance provider. During the training stage, the solution automatically conducts feature interaction on the training...
Algorithm - Fulfilled on Amazon SageMaker
This is an Image Classification model from [TensorFlow Hub](https://tfhub.dev/tensorflow/efficientnet/lite2/classification/2). It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of...
Model Package - Fulfilled on Amazon SageMaker
This is a Text Classification model built upon a Text Embedding model from [TensorFlow Hub](https://tfhub.dev/tensorflow/bert_en_cased_L-12_H-768_A-12/2). It takes a text string as input and classifies the input text as either a positive or negative movie review. The Text Embedding model which is...
Model Package - Fulfilled on Amazon SageMaker
Develop analytical framework to get high-value business credit card prospects using look-alike models. This is used to determine the best fit product to acquire those potential customers. Look-alike models use data from similar existing customers to determine what those customers would positively...
Model Package - Fulfilled on Amazon SageMaker
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