Resources and journey to machine learning with SAP S/4HANA (Updated July 21st 2022)
Link to the podcast series.
Here is an updated blog that shall guide you with the resources needed to the machine learning journey with SAP S/4HANA.
While the blog series provides you a quick start into the concepts around machine learning with SAP S/4HANA, I want to discuss a few other things and provide pointers in that direction. This blog series discusses in detail, the historical background of SAP’s journey into machine learning and the various techniques of leveraging machine learning with SAP S/4HANA, the architecture details, the processes involved and the scope & functionality of how these are implemented into the SAP S/4HANA’s business processes. Machine Learning and infusing intelligence into SAP S/4HANA business processes is a very important topic here at SAP and the key ingredient is the ISLM framework (Intelligent Scenario Lifecycle Management). You can find a host of information at our ISLM community.
I would also recommend you to walk thru’ another legacy blog series written by Orla Cullen and few of her colleagues on how to leverage the SAP Analytics Cloud Smart services and create predictive models for the data source based out of SAP S/4HANA. Please check this blog series in the context of SAC with S/4.
Continuing further, the OpenSAP platform at SAP provides huge set of online material and curriculum to understand the various aspects of machine learning and predictive analytics with SAP S/4HANA. Currently, even though there are no new upcoming courses on the topics of machine learning and predictive analytics, there are a lot of other self-paced courses when you search on those topics. These self paced courses would provide you the right ammunition to get started into the machine learning journey with SAP S/4HANA. Here is the link to the OpenSAP platform at SAP. We are planning a few openSAP courses in the machine learning and predictive analytics space in tWenty21.
One such OpenSAP course is scheduled for September and this gives an in-depth view into the general concepts, strategies, and features around embedded analytics. This course also includes the predefined business content and tools for the business user as well as the tools for the analytics specialist. In addition, the course will provide an introduction to embedded predictive and machine learning features and detailed information about the integration of SAP S/4HANA data into SAP Analytics Cloud and SAP Data Warehouse.
There are also other resources such as the best practices explorer that also helps your journey in understanding machine learning with SAP S/4HANA. At the best practices explorer, you will need to find the different packages with SAP S/4HANA by selecting either S/4 Cloud or S/4 OnPremise or Analytics etc. You can pick any of these or other packages and understand the different SAP S/4HANA business processes. Now while navigating into a particular business process, you can always search for any machine learning functionality that is implemented into SAP S/4HANA by reviewing the provided documentation and knowledge assets there-in! For a complete understanding of the available machine learning functionality in S/4, you can always check this blog!
Additionally , there is also a best practices package specifically around “Machine Learning & Predictive Analytics with SAP S/4HANA” which provides a step-by-step guide on the different aspects of machine learning with SAP S/4HANA, explains the different approaches of doing machine learning with SAP S/4HANA and finally provides access to all the different use cases along with the scope items corresponding to them. We have a created 2 different scope items or documentation that explains how to use ISLM while embedding in the SAP S/4HANA Cloud as well as embedding the the SAP S/4HANA On-premise.
Though the year tWenty20 was completely different due to the pandemic, the customer conferences such as SAPPHIRE, TechEd continued in a virtual mode with welcome and appreciation by our customers, partners and consultants. The virtual conferences continue for the year tWenty21 as well. There have been numerous amount of these sessions and learnings around machine learning and predictive analytics that could help your journey into the enterprise AI space. You can virtually listen into this content.
To top this all, the help portal provides a lot of information and resources that you can search around machine learning and predictive analytics for SAP S/4HANA.
Also an SAP CAL appliance image is available for customers and partners to try out some of the example ISLM ML scenarios which are embedded into SAP S/4HANA. You can find more information here about the SAP CAL appliance.
More customer and partner initiatives are also planned in 2021 for a smoother transition into the machine learning space with SAP S/4HANA – we have concluded a Customer Engagement Initiative (CEI project) in Q2 2021 which was attended by about 20 customers who have actively involved in the process to understand, implement and provide feedback about ML with SAP S/4HANA. We will have more such initiatives in the near future. Please stay tuned!
Other opportunities also include purchasing a book that was authored in 2020 by me along with my colleague Dr. Siar Sarferaz. You can find the details of that book at the blog or searching for “Implementing Machine Learning with SAP S/4HANA” at any of the major online stores.
Finally I would like to conclude this blog introducing the podcast series on machine learning with SAP S/4HANA. You can find more details about this podcast series by searching on the web or looking up here and subscribing or following me on spotify!
The journey into the AI world of enterprise technology has just started and it is interesting to see the amount of progress made even in an eventful year like tWenty20 though with all the strange things going on around. With the advent of the enterprise AI start-ups getting into the IPO race, history shall witness the year 2020 as a major turning point for the enterprises transitioning at a major scale into the AI space. The tools, technologies and services currently available are easily helping to democratize AI into the enterprise world by infusing the business processes with contextual intelligence while adding historic perspectives to predict better outcomes.
Happy predicting the future with SAP!
Stay safe and let’s predict a better future!!!
Here is the list of the blogs in the series:
Resources and journey to machine learning with SAP S/4HANA (this blog)
- Part 1 – Leveraging Predictive Intelligence with SAP S/4HANA
- Part 2 – Architecture and deep-dive of the different approaches around Predictive Intelligence
- Part 3 – Process flow leveraging Machine Learning and Predictive Analytics
- Part 4 – Scope and functionality in the context of an end-to-end process leveraging ML
- Part 5 – Activating machine learning functionality for SAP S/4HANA (Updated July 21st 2022)
- Part 6 – Building ML into the digital core of SAP S/4HANA (Embedded ML)
- Part 7 – Enhancing the digital core with ML Services (Side-by-Side ML)
- Part 8 – Extending the digital core by leveraging ML with SAP Analytics Cloud (Updated Apr 27th 2022)
- Part 9 – ML Extensions to SAP S/4HANA processes
- Leveraging Machine Learning with the ISLM Framework (Updated May 5th 2022)
- Migration of PAi to ISLM with the embedded ML
- Custom embedded ML app in SAP S/4HANA
- CDS View accessing external system remotely in SAP S/4HANA
Blogs on SAP Analytics Cloud – Smart Predict
- Implementing the predictive step
- How to schedule your predictive planning model
- Regression models in SAC
- Forecasting models in SAC
- Classification models in SAC
- Automate forecasting with Predictive planning
- Measure accuracy of time series forecasting in SAC
Custom Machine Learning Blogs & Demo guides:
- How to embed custom ML into SAP S/4HANA
- Link to the blog about using a CAL appliance and see ML models live!(check analytics section under demo guides)
- Machine Learning blogs on Medium by Raghu Banda