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Product & Analytics

Building Trustable Enterprise Data Science Products

by Nahla Salem

on December 6, 2018

At Rubikloud, we deliver Intelligent Decision Automation for the Enterprise. We have two products; Price & Promotion Manager, which delivers automated mass promotional demand forecasting at chain, store, and product levels, and Customer LifeCycle Manager (CLCM), which leverages Data Science to understand customers and automatically generate curated experiences across various channels and customer touchpoints.   Fig 1: The Ecosystem of an Enterprise Data Science product Our models live in a rich ecosystem as shown in the above diagram. The type of …

The Role of Analytics at an AI Company

by Elias Ayoub

on November 14, 2018

AI is at the core of Rubikloud. It takes many skilled teams working in collaboration to apply AI to our users’ business problems in intuitive ways. We make products, but before any software engineers are involved in the process, we need to validate that our solutions fit our clients’ needs and are fine-tuned for their business and their data. The Analytics Team bridges the gap between AI and its business application, thus making us an integral part of the product …

Bootstrapping Data for Significance Testing

by Tawsif Khan

on July 27, 2018

This is a question I came across on Quora – Why does it seem as if there is a disproportionate number of socially inept mathematicians/mathematics students compared to the average population? To validate whether math graduates really suffer from low social skills, we can set up an experiment to compare the differences in the social skills of people who studied math and those who didn’t. Technically, this is an example of a test for statistical significance. In the retail industry, …