Understanding Artificial Intelligence (AI)

Objectives

After completing this lesson, you will be able to:

  • Learn about the main innovations related to artificial intelligence and technologies

Artificial Intelligence

In the video, Syed Talal Hussain from Cloud ERP Product Success Enablement at SAP gives an overview of artificial intelligence and technologies in the SAP S/4HANA Cloud Public Edition 2402 release. Watch this video to learn about the main innovations such as:

  • Joule
  • Multi Model Management
  • Provision of Input Recommendations for Sales Order Completion

Multi Model Management in ISLM

Intelligent Scenario Lifecycle Management (ISLM) is a framework that allows you to perform lifecycle management operations on machine learning scenarios. You can consider ISLM as a self-service tool that allows you to handle various operation requirements of machine learning scenarios. You can train an intelligent scenario and use the trained model to get an accurate inference result.

There are two capabilities available as follows:

Sales order auto completion use case
It represents a positive shift in sales order management. By harnessing the power of machine learning and intelligent recommendations, businesses can streamline processes, reduce manual efforts, and drive greater efficiency and accuracy.
Multi model management
It enables the activation of various model versions simultaneously, each tailored to different business contexts. This capability opens up a world of possibilities, allowing organizations to align their AI models with specific segments and fields, thereby maximizing their relevance and effectiveness.

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