SAP Data Intelligence allows users to generate machine learning models directly within the service or integrate existing models. SAP Data Intelligence also integrates with popular open-source tools like Jupyter Notebooks, R, and Python. The Automated Machine Learning (AutoML) feature on the platform allows data scientists to train and run models with minimal manual intervention, thus making data science work more efficient. AutoML also creates data science pipelines automatically, with templated configurations and workflow automation.

SAP also houses a range of AI applications and services that can be easily integrated into the existing SAP ecosystem. SAP AI Business Services is a unified solution that offers multiple applications and services based on machine learning (ML) and AI. It is designed for citizen data scientists to leverage ML services without prerequisite knowledge of data science. SAP AI Business Services offers common ML and AI capabilities, which can be used across multiple processes by using simple APIs that are readily available for inference and training.

The predictive Scenarios feature in SAP Analytics Cloud is considered to offer a quick start for an organization’s AI/ML Journey. Using this feature enterprises can create Machine learning models in areas of Regression, Classification, and Time-series without prerequisites in data science. Machine learning models can be churned with ease and at pace using Predictive Scenarios. Most importantly this feature has a commendable predictive power and prediction confidence and critical influencers or variables for the model can be identified. The following figure shows the critical influencers in a customer churn machine learning model for telecom industry data.