Overview of SAP S/4HANA-Based Machine Learning Scenarios AIN202 #SAPTechEd Summary
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
Combine with Qualtrics
Options to integrate with SAC (SAP Analytics Cloud)
Picture shows story of last 50-60 years
Digitizing more of the documents
Will AI replace all employees? For sure not now
In middle of digital transformation
New roles, skills
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?
Mouth – conversational AI – to talk with systems in Natural Language
Brain – Data Intelligence, mimic brain, experience, good recommendations
Conversational AI, seen chat bots
Digital Assistant in S/4HANA
Chat window for text
Co-Pilot – replatforming
Build your own today at https://cai.tools.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
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
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
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
Underlying technology of machine learning
One of the many sample scenarios
Train and adapt to your needs
Out of the box scenarios shipped
More out of the box scenarios shipped
More out of the box scenarios; note that professional services is on the road map / not released.
Planned innovation – centralized machine learning
Where SAP would like to co-innovate
Summary – S/4HANA is the first step.
What do you think?