What's new in SAP Predictive Analytics 3.3 Webcast Recap

[TammyPowlas]

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

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..