This Pandemic Propensity Model determines the probability that a US adult is Comfortable Going to Theme Parks. Lift over Random 1.35 This Pandemic Propensity model is one of a series of consumer classification models based on data from over 31,000 US adults surveyed between April to July 2020...
Model Package - Fulfilled on Amazon SageMaker
This is a Sentence Pair Classification model built upon a Text Embedding model from [TensorFlow Hub](https://tfhub.dev/tensorflow/bert_en_wwm_uncased_L-24_H-1024_A-16/2). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label...
Model Package - Fulfilled on Amazon SageMaker
Digital content in different file formats like pdfs, docs, ppts, emails have a lot of metadata as well as formatting data associated with them. This solution parses documents, extracts metadata and formatting information from documents and standardizes them. It provides information about the...
Model Package - Fulfilled on Amazon SageMaker
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This model extracts biological and genetics entities from medical texts to enhance therapeutic research, early diagnosis, and personalized care, driving forward data-driven medical advancements. The model was tailored to identify and extract various biological entities such as genes, anatomical...
Model Package - Fulfilled on Amazon SageMaker
DeepInsights Text Paraphraser helps in re-expressing the text content in a different style without changing the original meaning. The solution can be used to get a better understanding of the data and simplify complex sentences. Transformer based models are used which helps in retaining the...
Model Package - Fulfilled on Amazon SageMaker
Businesses succeed when existing customers enhance their accounts through rate plan and device upgrades, feature addons, and line additions to grow account size. The Upgrade Device model is part of ElectrifAi's propensity model suite which enhances a business's predictive accuracy in targeting...
Model Package - Fulfilled on Amazon SageMaker
A high frequency of issues can generate an overwhelming number of service 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...
Algorithm - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult is Planning to Purchase Coach. Lift over Random 1.43. 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...
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
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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
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