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This was an SAP webcast from last week.  More upcoming related webcasts can be found here:

Source: SAP

Source: SAP

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

Automated Analytics

Source: SAP

Python scripting API

Source: SAP

Create more powerful workflows with Python

Building a loop through scripts

Python is open-source, well-adopted in data science community

Source: SAP

Source: SAP

Samples for classifications and clustering are provided

Source: SAP

You have to install Python; SAP does not do that

Source: SAP

 

What is new in Predictive Analytics Integrator

Source: SAP

How manage lifecycle of model once it is embedded in SAP application – that is what PAi does

Customers can build “their own”

Source: SAP

Predict end date of a contract

New tab for PAi in Predictive Factory

Source: SAP

Can install Predictive Factory on Linux with 3.3 release

Source: SAP

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..

 

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