Event Information
Overview of SAP S/4HANA-Based Machine Learning Scenarios AIN202 #SAPTechEd Summary
Source: SAP
Source: SAP
The legal disclaimer applies that things in the future are subject to change
So, why Intelligent technologies in SAP S/4HANA? “By 2021 70 Percent of Organizations Will Integrate AI to Assist Employees’ Productivity“ – Gartner
Source: SAP
Combine with Qualtrics
Options to integrate with SAC (SAP Analytics Cloud)
Source: SAP
Why now
Always change
Picture shows story of last 50-60 years
Digitizing more of the documents
Will AI replace all employees? For sure not now
Source: SAP
In middle of digital transformation
Forrester quote
New roles, skills
Source: SAP
To gain business agility then, you need the standardization provided by intelligent ERP: SAP S/4HANA.
SAP S/4HANA is the market leading intelligent ERP that helps organizations in all industries achieve unparalleled business agility, enabling them to meet ever-rising customer expectations, deliver new products and services, and manage resources more efficiently in an era of increasing market and regulatory demands.
Next generation, end-to-end business processes are powered by three key areas of innovation:
Digital Age User Experience based on digital assistance and natural language conversations for increased productivity and user satisfaction
Intelligent Automation such as artificial intelligence and robotic process automation increase efficiency and effectiveness while reducing manual tasks by 50% or more
End-to-End Analytics provide context aware, real time, predictive insights so users and executives alike can make better decisions, faster – Source: SAP
How infuse S/4HANA with intelligent technologies?
Source: SAP
New products
Mouth – conversational AI – to talk with systems in Natural Language
Brain – Data Intelligence, mimic brain, experience, good recommendations
Source: SAP
Conversational AI, seen chat bots
Digital Assistant in S/4HANA
Chat window for text
Co-Pilot – replatforming
Source: SAP
Build your own today at https://cai.tools.sap/
Source: SAP
RPA – new kid on the block
Go to rapid.sap.com
Shipping bots with S/4HANA
Link to S/4HANA bots: https://rapid.sap.com/bp/#/IRPA_S4HANA
Source: SAP
Machine learning
S/4HANA makes use of algorithms – embedded machine learning, directly calculate results in S/4HANA database – low demands on CPU/RAM
External – Leonardo Machine learning
Source: SAP
How does it look
On top of data put an algorithm
In S/4HANA, a set of scenarios developed, with a team of data scientists
Source: SAP
On left see S/4HANA system with S/4HANA system
PAI – create directly on data, everything on single box, on-premise and in the cloud
Right side is Leonardo with ML scenarios
Can incorporate 3rd party data
Source: SAP
Underlying technology of machine learning
Source: SAP
One of the many sample scenarios
Source: SAP
Train and adapt to your needs
Source: SAP
Out of the box scenarios shipped
Source: SAP
More out of the box scenarios shipped
Source: SAP
More out of the box scenarios; note that professional services is on the road map / not released.
Outlook
Source: SAP
Planned innovation – centralized machine learning
Source: SAP
Where SAP would like to co-innovate
Source: SAP
Summary – S/4HANA is the first step.
What do you think?
Thanks for sharing this blog. Can you also share the link for this presentation since some of the slides are not visible?
Thank you for reading
Unfortunately I cannot find an online link for this; I tried https://events.sap.com/teched/en/sessions.aspx?view=lectures&SessionType=Lectures&Year=2019 but no luck
Hi Tammy,
Thanks for the overview and the list of ML services available for S4. I have couple of questions though
With Regards,
Neelesh
Hi Neelesh -
Thank you for reading
As this blog is several months old, I recommend asking your questions at answers.sap.com - I don't know the future direction. As to the first question, some ML services are in S/4 and some I believe you need the SAP Cloud Platform.
Both questions are good ones, so please post them at answer.sap.com
Tammy