This post-pandemic Propensity Model determines the probability that a US adult Drinks Tequila. Lift over Random 2.34. 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
Drive real-time help desk suggestions to reduce bandwidth required from agents. Identify key customer pain points through help desk chat transcripts and resolution notes. Get early visibility into change indicators and thus allow for targeted and timely intervention. Improve training material by...
Model Package - 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
This post-pandemic Propensity Model determines the probability that a US adult has Anxiety. Lift over Random 1.56. 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
This is an Image Classification model from [TensorFlow Hub](https://tfhub.dev/google/imagenet/mobilenet_v2_130_224/classification/4). 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...
Model Package - Fulfilled on Amazon SageMaker
This is a Named Entity Recognition model built upon a Transformer model from [Hugging Face](https://huggingface.co/elastic/distilbert-base-cased-finetuned-conll03-english). It takes a text string as input and predicts named entities in the input text. The deployed model can be used for running...
Model Package - Fulfilled on Amazon SageMaker
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
showing 861 - 870