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

Predicts future demand based on historical data
Amazon SageMaker
AzureML Studio

E-commerce Product Recommender

Recommends products based on user-interactions and user-product metadata

AzureML Studio

Marketing: Customer Segmentation

Customer segmentation groups customers based on their attributes.
This gives customer insights and enables targeted marketing.

AzureML Studio

Telco Churn

Predicts customer churn based on users’ profiles and usage behaviour.

AzureML Studio

Personal Credit Risk Classification

Classifies the credit risk for individual borrowers which can help financial institutions make informed decisions.

AzureML Studio

Corporate Credit Risk Prediction

Predicts the credit risk for corporate suppliers and customers based on historical data.

AzureML Studio

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.

Two-Class Boosted Decision Tree

Contact us

For more information or collaboration