Businesses succeed when customers upgrade their accounts. This suite of propensity models identifies those customers more likely to add a new line, take a MBB device, add a feature to their plans, buy a new phone, etc., and actively engage those customers by pushing offers. After analyzing the...
Model Package - Fulfilled on Amazon SageMaker
A deep learning based solution that analyzes event (e.g. loan approval process) log data with contextual information (e.g. loan request parameters, etc.) and predicts the next step and time to next step for an open request within a process. With process execution data stored in form of event logs,...
Algorithm - Fulfilled on Amazon SageMaker
Our Platform leverages core competencies in processing high dimensional data sets, Causal Inference, Bayesian and Machine Learning for the specific needs of Pharma and Healthcare by addressing specific top of mind use cases. These are built on a foundation of establishing Cohort Equivalency that...
Model Package - Fulfilled on Amazon SageMaker
This solution classifies financial news headlines into positive, negative and neutral sentiments. It uses text analysis, natural language processing, machine learning techniques to predict the sentiment classes. This solution is built around specialized vocabulary encountered in finance and...
Model Package - Fulfilled on Amazon SageMaker
This is an Image Classification model from [PyTorch Hub](https://pytorch.org/hub/pytorch_vision_vgg/). 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 different classes....
Model Package - Fulfilled on Amazon SageMaker
Model generates output of face bounding boxes from face detection network, labels of age.gender of each detected face
Model Package - Fulfilled on Amazon SageMaker
This is an Image Classification model from [PyTorch Hub](https://pytorch.org/hub/pytorch_vision_densenet/). 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 different classes....
Model Package - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult watches YouTube Regularly. Lift over Random 1.09. 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
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The continuously trained vector autoregressive forecast (CTVARF) model is to forecast large set of time-series based always on the latest updated model trained by the latest available data. The time-series are assumed to be influenced by histories of a set of unobserved factors commonly affecting...
Algorithm - Fulfilled on Amazon SageMaker
This is an object detection model from [TensorFlow Hub](https://tfhub.dev/tensorflow/efficientdet/d4/1). It takes an image as input and returns bounding boxes for the objects in the image. The model is pre-trained on COCO 2017 which comprises images with multiple objects and the task is to identify...
Model Package - Fulfilled on Amazon SageMaker
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