Unlocking business insights by integrating Machine Learning in SAP Data Intelligence Cloud
The ML Scenario Manager in SAP Data Intelligence serves as a centralized platform to efficiently organize, manage, and execute machine learning (ML) scenarios. An ML scenario refers to a comprehensive workspace encompassing various components crucial for ML projects such as datasets, pipelines, Jupyter Notebooks, and monitoring tools. All this enables efficient monitoring of model performance metrics, deployment history review, and thorough analysis - encouraging exploration of the data estate for insightful intelligence in any organization.
This blog focuses on building a fundamental ML project with the aim of forecasting sales within a date range and leveraging the collected sales data, besides equipping users with the skills to navigate the ML Scenario Manager and initiate ML model deployments using graphical pipelines.
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