The solution harnesses historical customer data for segmentation, incorporating customer IDs and various features such as purchase frequency, credit limits, and the number of purchases. It formulates the clustering problem as an optimization problem and solves it using the D-Wave's hybrid solver....
Algorithm - 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
This Pandemic Propensity Model determines the probability that a US adult is Comfortable Going to the Gym. Lift over Random 1.27 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 from...
Model Package - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult Watches Pro Golf. Lift over Random 2.57. 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...
Model Package - Fulfilled on Amazon SageMaker
This Pandemic Propensity Model determines the probability that a US adult is Comfortable Going to Beauty Salons & Barber Shops. Lift over Random 1.32 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...
Model Package - Fulfilled on Amazon SageMaker
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Singular Value Decomposition based dimensionality reduction on sparse data set like LibSVM 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
Making cloud savings automated, effortless, and risk-free. Start saving in 2 minutes, no code or engineering required. Maximum Savings: Our AI-driven recommendation engine dynamically adjusts resources based on your needs and usage patterns to maximize savings. Built-In Risk Management: We make...
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Jump start your ability to understand how much and the type of work being done in your operation. Stationary work refers to employees who are folding, dusting, scanning items at check-out vs. the still sitting or standing.
Model Package - Fulfilled on Amazon SageMaker
Dig is an agentless multi-cloud data security platform that discovers, classifies and protects sensitive data. Using Dig's data classification engine, you can quickly locate your most critical data and organizational 'crown jewels' in both structured and unstructured data assets. Dig prevents...
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