Damaged Shipment Prediction model takes images of shipments at various stages of delivery cycle & predicts whether the shipment’s packaging is damaged or not. It can be used by logistics firms to assess damages and identify stages with high risk of incurring damage, optimize the stages and deliver...
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
This is a Natural Language Processing (NLP) based text classification solution that helps identify whether a given consumer complaint requires monetary compensation based on the complaint narrative. A complaint is classified as either requiring monetary relief or if it can be resolved through...
Model Package - Fulfilled on Amazon SageMaker
Detect compromised merchants or terminals faster with improved accuracy so networks can take timely actions to prevent more credit cards from being compromised. Our solution generates prioritized lists of potentially compromised merchants so the network can focus the investigation on the most...
Model Package - Fulfilled on Amazon SageMaker
Video-based AI that detects degree of COVID-19 facemask policy compliance. Analyzes statistical patterns at scale. See also separate Room Occupancy & Social Distance compliance detection module. Created by Providence Health Care, working with multidisciplinary teams from the University of British...
Model Package - Fulfilled on Amazon SageMaker
A high frequency of issues can generate an overwhelming number of help 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 multi-factor...
Algorithm - Fulfilled on Amazon SageMaker
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
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Meet SquadStack ASR, a groundbreaking speech-to-text solution designed for both technology enthusiasts and business users. This innovative AI model boasts top-notch Word Error Rate (WER) performance, ensuring highly accurate transcriptions. SquadStack ASR also offers breakthrough performance in...
Model Package - 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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