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 can be resolved through...
Model Package - Fulfilled on Amazon SageMaker
This solution identifies various aspects from online product reviews for refrigerators. The following 9 aspects are identified: Storage Capacity, Noise/Sound, Price, Ease Of Installation, Cooling, Filtration, Build Quality, Design, Service. This enables companies to easily identify which aspects...
Model Package - Fulfilled on Amazon SageMaker
Identifies missing charges in a claim. The model will take all the charges on the medical claim and predict the probability that certain codes are missing. By using the input data of medical claims from an insurance company (i.e. common medical codes HCPCS, CPT, ICD10, REV, LOC), a score of every...
Model Package - Fulfilled on Amazon SageMaker
Missing Data Imputation is a robust neural network based solution. This solution fills in missing values for numerical attributes by identifying data patterns in the input dataset. It helps reduce the data quality issues due to incomplete/non-available data.
Model Package - Fulfilled on Amazon SageMaker
Face Match for Customer Authentication by Seamfix uses advanced facial recognition technology to match faces against a database of registered faces. It is highly reliable and accurate, even in low-light conditions, reducing the risk of fraud and improving security.
Model Package - Fulfilled on Amazon SageMaker
Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer uses Uber. Based on a set of basic demographics, the model identifies individuals who are likely to use the ride share service. The model was trained with data from Prosper's large Media Behaviors &...
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 Add a Line - Wearables model is part of ElectrifAi's propensity model suite which enhances a business's predictive accuracy in...
Model Package - Fulfilled on Amazon SageMaker
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The long-memory dynamic factor model (LMDFM) algorithm is to make (1) analysis of observed multiple (vector) time-series, (2) multi-step forecasts of multivariate (vector) time-series, and (3) multi-step forecasts of multivariate volatility (variance-covariance matrix) of vector time-series. The...
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VARCO LLM 2.0 is NCSOFT's large language model that can be applied to the development of various natural language processing-based AI services such as text generation, question answering, chatbots, summarization, and information extraction. NCSOFT's VARCO LLM 2.0 was developed with our own...
Algorithm - Fulfilled on Amazon SageMaker
This Pandemic Propensity Model determines the probability that a US adult is Planning Vacation Travel. Lift over Random 1.43 This Pandemic Propensity model is one of a series of consumer classification models based on data from over 24,000 US adults surveyed between April to June 2020 from...
Model Package - Fulfilled on Amazon SageMaker
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