Five Minute Briefing - SAP
July 23, 2025
Published in conjunction with the Independent SAP Technical User Group (formerly the International Sybase User Group), this monthly publication contains news, market research, insight for the SAP user community, as well as ISUG-TECH news and information.
News Flashes
Infosys, a global leader in next-generation digital services and consulting, is launching the Infosys Enterprise Innovation Lab for SAP Solutions at Infosys' premises in Düsseldorf, Germany. As part of the collaboration between Infosys and SAP, this lab is designed to enable enterprises to explore the limitless possibilities of AI and data, co-create tailored solutions that address their business challenges, and accelerate the adoption of cutting-edge Infosys and SAP offerings, according to Infosys.
SAP is releasing a new cloud edition of SAP Customer Checkout, providing customers a seamless, efficient, and scalable point-of-sale (POS) solution for the future. Designed for customers in retail, merchandising, catering, and sports and entertainment, SAP Customer Checkout, cloud edition, offers seamless integration with SAP S/4HANA and other systems, according to the company.
SAP HANA Cloud now offers more context-aware AI solutions on its single, multi-model platform that brings together vector, graph, text, spatial, and relational data natively. Rather than sending data across disparate services, users can store and process all of it in one place, accelerating time-to-value while reducing the risk of misalignment. This is multi-model done right, and it is the foundation for powerful AI workloads that scale, according to SAP.
This latest course will enable attendees to facilitate a new Joule Agent Discovery Workshop, guide workshop participants to identify appropriate use cases, and tailor the workshop format to the needs of different audiences. Joule Agents are AI systems that autonomously plan and execute multi-step workflows, collaborating to connect departments, speed up decisions, and streamline processes.
Think About It
In the analytics world, when building data marts or other data areas meant to support end users, the goal is to present the "needed data" allowing users to perform their queries and analyses. This means that if an "XYZ Value" is required, then the "XYZ Value" is presented.