SAP AI Business Services support organizations in overcoming complexity hurdles in their first machine-learning projects by providing easy-to-use and enterprise-ready intelligent business services. These business services help to solve specific business problems in a number of different business processes.
This course provides an introduction to SAP AI Business Services. It will explain the different services from a business perspective as well as from a technical point of view.
In this course, you’ll learn how and why SAP AI Business Services can optimize your day-to-day business experience and make your processes more efficient. You’ll see a variety of use cases for SAP AI Business Services and recognize the value of SAP AI Business Services to your own use cases and business processes.
Here is what some participants are saying about the course:
"Congrats! Great balance of business related information -like business scenarios and use cases- and a good level of detail on the technical side, showing how the services are implemented. Also I liked the consistency on the duration and schematic approach for all the videos. From the openSAP courses I have taken, this one has been one of the best on both areas!" read the original post
"Very Good Course at long time one of the best. Very cleary described how we can automatisate office work!" read the original post
"This is an excellent course with interesting topic. Very nicely structured , informative and well executed. Great job. Looking forward to attend many more such courses." read the original post
"Well presented and simplified course.The slides were well presented with a good sequence followed by the business, technical context and demo. It’s not an easy subject to simplify and have a class on. thanks for making it easily to assimilate." read the original post
Week 1: Get Started with SAP AI Business Services
Week 2: Simplify Business Document Processing
Week 3: AI in Master Data Management & Invoice Processing
Week 4: Final Exam
You can access a free trial system where you can start exploring and implementing SAP AI Business Services on your own. How to access the trial system will be shown in the first week of the course.
Maria Bezrukova has been with SAP for over a year, working in a student position in the product management team for SAP AI Business Services. During this time, she has gained experience and insight in the SAP AI Business Services portfolio through close, daily interaction with product owners and product managers.
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This course was rated with 4.4 stars in average from 368 votes.
Find out more in the certificate guidelines.
Nadine Hoffmann is head of SAP AI Business Services product management, driving the integration of the SAP AI Business Services portfolio within SAP to enable the Intelligent Enterprise. She has over 20 years’ experience in solution and innovation management, and a deep understanding of machine learning and blockchain. Nadine has also supported customers transforming their payment landscapes, influencing the overall SAP architecture in the area of payment.
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Jana Wuerth is a senior product manager for SAP AI Business Services. Her focus is on the go-to-market strategy and commercialization topics, and she is always on the look-out for new opportunities to infuse AI into various business processes to improve efficiency and automation rates.
Jana has been with SAP for over 10 years and has experience in a number of roles, from consulting to solution management and product management. Taking the best out of these experiences, she is always enthusiastic about new approaches.
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Daniel Kwak is a senior product manager for SAP AI Business Services. His focus is on the procure-to-pay process, where he drives development and customer enablement towards intelligent solutions in the areas of purchasing and accounts payable.
Daniel has been with SAP for more than 5 years and has worked on various artificial intelligence projects as a developer and data scientist in the past. With this experience, Daniel aims to transform business needs into technical requirements and explore new approaches.