The integration of artificial intelligence (AI) into business processes is currently a major driving force for digital transformation. However, the AI adoption process can be challenging for organizations, with different algorithms, platforms, and technologies to consider. To address these challenges ISLM offers a standardized and unified lifecycle management framework designed to make AI adoption and usage more accessible and more straightforward for our customers. Over the course of time, ISLM has made significant strides forward, with the introduction of new machine learning scenarios that are readily available, as well as increased support for a range of algorithms, technologies, and platforms. The aim of this blog post is to provide a summary of some of the key highlights of recent innovations.
Recently delivered out-of-the box scenarios
Line of Business
Helps end user get an idea of when the particular business partner would clear their dues.
This predictive scenario supports collection specialists in their daily activities. It helps them to assess the future payment behavior of customers. This reduces operational process costs and improves the working capital.
Prerequisite checks for the intelligent scenario that enables you to check whether the SAP-delivered intelligent scenario meets the readiness requirement to train and consume ML scenarios.
SAP delivered intelligent scenarios are enhanced with additional information about consuming business applications. For example, you can view : Scope item, SAP help link, Line of Business, SAP Fiori apps of the business application consuming the AI model.
We've been conducting rollout sessions to keep our customers informed about the latest news and improvements, Below, you can find links to our rollout sessions that will enable you to stay updated on the latest news and enhancements. SAP Community Webinar Replays: