This was an SAP webcast from last week. More upcoming related webcasts can be found here:
- Nov 30 Refresh Expert Streams on Predictive Factory
- Dec 12 Best Practices for Automated Analytics
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..