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ELECTRIFAI (58 results) showing 1 - 10



Designed to assist companies with valuable acceptance data about merchants and vendors, this Merchant Matching tool is useful for the Financial Services industry. The fully automatic Merchant Matching engine provides the capability for American multinational financial services corporations to...

Model Package - Fulfilled on Amazon SageMaker


Very specific marketing is needed to attract potential clients to book a cruise. This propensity model identifies past guests/prospects who are more likely to book a cruise after receiving an email campaign. This model leverages advanced, high-precision targeting for customer acquisition and can be...

Model Package - Fulfilled on Amazon SageMaker


A combination of multiple models, this algorithm ranks customers in different consumption categories to see what their response would be for a campaign. XGBoost evaluates spend passion for purchase categories. Identify spend gap with the ASVD model. The look-alike model analyzes what customers...

Model Package - Fulfilled on Amazon SageMaker


This algorithm takes sentiment analysis a step further by extracting each aspect and opinion within any text document. As opposed to producing sentiment scores on the entirety of a sentence, paragraph, or document, this algorithm identifies the entity being discussed, the aspect of that entity, and...

Model Package - Fulfilled on Amazon SageMaker


Target customers with applicable promotions and treatment optimizations with this need-state segmentation model. Need State Segmentation model analyzes thousands of customer attributes and behaviors, from demographics to spend and trip patterns. Grouped and applied to the entire customer base,...

Model Package - Fulfilled on Amazon SageMaker


Create an anti-fraud strategy to identify loan applicants highly likely to commit fraud by using customer demographic data, credit history, and payment behavior. Decision trees applied to extract features of fraud to detect early-on. Seamlessly deployed in our client's environment, we inferred the...

Model Package - Fulfilled on Amazon SageMaker


Machine learning based solution used to monitor ACH wire transfers, determine fraudulent transactions and provide reasons to flag transactions. A fraud risk score is calculated to ensure transfers are only initiated by the account owner. To preview our machine learning models, please Continue to...

Model Package - Fulfilled on Amazon SageMaker

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To help identify skin mutations to support clinical decisions and diagnosis. Non-melanoma skin cancers, such as Basal Cell Carcinomas (BCC) and Squamous Cell Carcinomas (SCC), are the most common human skin cancers and they are growing fast. By inputting an image (.jpg, .png, or .bmp), the model...

Model Package - Fulfilled on Amazon SageMaker


Predict the score of upsell probability. For example, if a customer buys car insurance this year, use that information to provide add-ons or higher-priced options the next year. Combined customer segmentation and propensity model covers 256 coverage portfolios, 327 organization and 384 customer...

Model Package - Fulfilled on Amazon SageMaker


This CNN model algorithm leverages a collection of healthy and abnormal X-ray images to detect the presence of COVID-19. The research tool provides a similarity score of your COVID-19 positive X-ray images. SKU: COV19-PT-HCV-AWS-001 Disclaimer: The following model shall be used with the guidance...

Model Package - Fulfilled on Amazon SageMaker