Mathew Choi, David Lin, Miranda Wang, & Timothy Yuen

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Presentation transcript:

Mathew Choi, David Lin, Miranda Wang, & Timothy Yuen

What Does PredicSis Do? PredicSis uses disruptive Machine Learning algorithms to automatically anticipate all sorts of customer behavior. PredicSis brings clients the highest data science expertise in just a few clicks.

Products ChurnSpotter spots your fragile customers and helps you drive highly targeted retention campaigns.

Main Competitor: Google Prediction API Beta version 1.0 - No pricing yet just not openly From the Give Some Credit Kaggle Challenge: Predicting the probability someone will experience financial distress in the next two years. 150,000 cases. Time for training: 4.4x faster Time for predictions: 81x faster

Pros and Cons Pros: Cons: 30 day free trial Trains the data very quickly Fairly accurate Able to detect reliable patterns within highly unbalanced data sets Compatible with amazon web services Some statistics skills needed Some programming background needed BigML is faster in training and predictions

Customers “We were very impressed by the speed with which PredicSis Machine Learning was able to build the model and make predictions. We had tried other softwares on this problem and if the results were roughly the same, but it took orders of magnitude more time to build the model. We were also equally impressed by the ease of installation/deployment.” Mukund Deshpande Head BI/Analytics Business Unit

Demo https://ml-studio.predicsis.com/#mlstudio/projects/my-projects yuen@uga.edu timothyyuen

Questions?