What’s new in SAP Predictive Analytics 3.3 Webcast Recap
This was an SAP webcast from last week. More upcoming related webcasts can be found here:
This is an important release for SAP; build highly scalable models, work with other applications in SAP, deploy into customer’s environments and data privacy support
Above are the four main features
API for Python – mass script models
PAI – Predictive Analytics Integrator – solve end to end use cases for integration
Deploy Predictive on Linux – allow for standardization
GDPR support to comply with EU law
Python scripting API
Create more powerful workflows with Python
Building a loop through scripts
Python is open-source, well-adopted in data science community
Samples for classifications and clustering are provided
You have to install Python; SAP does not do that
What is new in Predictive Analytics Integrator
How manage lifecycle of model once it is embedded in SAP application – that is what PAi does
Customers can build “their own”
Predict end date of a contract
New tab for PAi in Predictive Factory
Can install Predictive Factory on Linux with 3.3 release
Data privacy; deletion of personal data; define length of time
Question and Answer
Q: When available?
A: 3.3 avail: the plan in November 13.
Q: Is there integration with Data Hub (current or planned)
A: Integration with Data Hub is planned
Q: Does PAI work with the SCP Workflow component?
A: for SCP workflow, you could use Predictive Services (REST APIS) for various scenarios like classification, recommendation etc..
Great recap Tammy! Thanks for this.
For those of you who wanted to get more information on the Python samples, check out the following link: https://blogs.sap.com/2017/12/21/a-great-combination-python-and-sap-predictive-analytics/
Thank you. It’s fun to read And we recommend some good articles