AI-Ready Bricks
What are AI-Ready Bricks?
AI-Ready Bricks are plug-and-play tools built on machine learning (ML) platforms.
Users can learn, build and deploy simple ML solutions using these Bricks as a foundation.
Note: AWS SageMaker Bricks require you to sign in to your AWS account before you can access them.
After logging in, select your user profile then choose Open SageMaker Studio. Then click on the link to access it. See more information about this.
Benefits
Ready Recipe
Plug and Play
Platform
We use platforms such as Azure Machine Learning and Amazon AWS. These platform are easy to use and manage. If you are new to these platforms, rest assured that it will just take a maximum an hour just to configure everything correctly with our guide.
Bricks
Demand Forecast of Time Series Data
E-commerce Product Recommender
Recommends products based on user-interactions and user-product metadata
Marketing: Customer Segmentation
Customer segmentation groups customers based on their attributes.
This gives customer insights and enables targeted marketing.
Telco Churn
Predicts customer churn based on users’ profiles and usage behaviour.
Personal Credit Risk Classification
Classifies the credit risk for individual borrowers which can help financial institutions make informed decisions.
Corporate Credit Risk Prediction
Predicts the credit risk for corporate suppliers and customers based on historical data.
Demand Forecast of Time Series Data
Predicts future demand based on historical data
Boosted Decision Tree Regression
E-commerce Product Recommender
Recommends products based on user-interactions and user-product metadata
Collaborative Filtering
Marketing: Customer Segmentation
Customer segmentation groups customers based on their attributes. This gives customer insights and enables targeted marketing.
K-Mean Clustering
Corporate Credit Risk Prediction
Predicts the credit risk for corporate suppliers and customers based on historical data.
Two-Class Decision Forest
Personal Credit Risk Classification
Classifies the credit risk for individual borrowers which can help financial institutions make informed decisions.
Two-Class Boosted Decision Tree
Telco Churn
Predicts customer churn based on users’ profiles and usage behaviour.