Machine Learning with Intelligent Scenario Lifecycle Management (ISLM)

Update your machine learning skills with Intelligent Scenario Lifecycle Management (ISLM)! In this E-Bite, you’ll develop a complete machine learning application for SAP S/4HANA using SAP HANA PAL, from data preparation and model building to training and prediction generation. You’ll learn to use the ISLM framework to simplify machine learning implementation with standard apps for managing intelligent scenarios. Learn the ins and outs of machine learning with ISLM in this how-to guide!

• Learn to use the ISLM framework in SAP S/4HANA
• Develop an end-to-end machine learning scenario with SAP HANA PAL
• Prepare data, train models, and implement predictions with ISLM

Content Keywords: Intelligent Scenario Lifecycle Management (ISLM), machine learning, SAP S/4HANA, SAP HANA PAL (Predictive Analysis Library), JupyterLab

About the Author

Marcin Dzierzgowski is a freelance SAP consultant with Int4. With more than ten years of experience, he has engaged in many international projects for various SAP modules and customers. Over the past few years, he has focused on the latest technologies delivered with SAP HANA like the code-to-data paradigm, embedded analytics, and ISLM.

Kinga Tarczyńska is a freelance SAP integration consultant with Int4, specializing in SAP Integration Suite and ABAP development. Kinga has been involved in a number of customer implementation projects as a developer and integration consultant. She holds a master's degree in mathematics from Adam Mickiewicz University in Poznań, Poland.

Marek K. Zieliński is a co-founder and CTO of 10 Senses, an Int4 AG partner in the area of machine learning in SAP. He has more than 10 years of experience in machine learning, AI, and process mining. Marek has an academic background in solid state physics and data warehousing. As an expert in advanced analytics and data, he has worked on many international projects as a machine learning engineer and machine learning tech lead.