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How to Use the Machine Learning Cockpit for SAP Business ByDesign
Simona Marincei, Dalibor Knis, Sara Kazmi, Kopal Jauhari
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Join this free online course to learn about the Machine Learning Cockpit for SAP
Business ByDesign and how you can use it to create, train, and implement
predictive scenarios end-to-end.

June 20, 2023 - July 26, 2023
Language: English
Enroll me for this course


COURSE INFORMATION


COURSE SUMMARY

The Machine Learning Cockpit for SAP Business ByDesign is the implementation of
a standard machine learning workflow within the SAP Business ByDesign user
interface. The Machine Learning Cockpit brings predictive capabilities to SAP
Business ByDesign by utilizing the power of the Predictive Analysis Library
(PAL) within the SAP HANA database. The tool allows users to create predictive
scenarios by using data from business analytics data sources, on which PAL
machine learning algorithms try to learn the model in the training process. This
model can be applied to new data to make actual predictions. The predictions can
then be consumed directly in SAP Business ByDesign business documents, in
business analytics, or in PDI solutions (through the provided API).

In this course, you’ll learn how to use the Machine Learning Cockpit within SAP
Business ByDesign to create, train, and implement predictive scenarios
end-to-end. After a short introduction, you’ll learn about machine learning
essentials, the use of data sources, as well as configuration and authorization.
The following units cover the three focus areas, where you’ll learn everything
you need to know about scenarios, models, and predictions.


COURSE CHARACTERISTICS

 * Starting from: June 20, 2023, 09:00 UTC. (What does this mean?)
 * System Preparation: Opening 1 week earlier, on June 13, 2023
 * Duration: The course is open for 5 weeks
 * Effort: 5 hours in total
 * Course assignment: You can take the course assignment at any time whilst the
   course is open.
 * Course closure: July 26, 2023, 9:00 UTC
 * Course language: English
 * How is an openSAP course structured?


COURSE CONTENT

Unit 1: Welcome and introduction
Unit 2: Machine learning essentials
Unit 3: Using data sources
Unit 4: Configuration and authorization
Unit 5: Scenario – Creating a scenario
Unit 6: Scenario – Data preprocessing settings
Unit 7: Scenario – Training settings
Unit 8: Model – Creating a model
Unit 9: Model – Field selection and null removal
Unit 10: Model – Outlier removal and training settings
Unit 11: Model – Training results and lifecycle management
Unit 12: Prediction creation
Unit 13: Prediction consumption
Unit 14: Prediction results in embedded components


TARGET AUDIENCE

 * Business users
 * Key users
 * SAP partners
 * Data analysis experts and machine learning enthusiasts who are interested in
   the implementation of intelligent predictive solutions


COURSE REQUIREMENTS

 * Understanding of SAP Business ByDesign business analytics
 * Understanding of SAP Business ByDesign business processes


DEVELOPMENT SYSTEMS

We will provide information on how to set up access to the SAP Business One and
SAP Business ByDesign tenants in the system preparation week.


COURSE CONTENTS



 * PREPARATION WEEK

 * COURSE

 * I LIKE, I WISH:
   
   We Love Your Feedback … And Want More


ENROLL ME FOR THIS COURSE

The course is free. Just register for an account on openSAP and take the course!

Enroll me now
Learners enrolled: 829


CERTIFICATE REQUIREMENTS

 * Gain a Record of Achievement by earning at least 50% of the maximum number of
   points from all graded assignments.
 * Gain a Confirmation of Participation by completing at least 50% of the course
   material.

Find out more in the certificate guidelines.


THIS COURSE IS OFFERED BY

SIMONA MARINCEI

Simona Marincei is the head of Intelligent Enterprise for SME and part of the
Product Management for SME team. She leads multiple teams of highly qualified
product managers to define and create the product strategy for SAP ERP for SME
as well as the Intelligent Enterprise for SME.

Simona is an innovation leader and a powerful advocate of the SAP Intelligent
Enterprise storyline, adapting and implementing SAP intelligent technologies to
the realities of small and medium enterprises.

DALIBOR KNIS

Dalibor Knis is product management lead for the Machine Learning Cockpit. He has
been working in the SME ERP area for more than 20 years.

A former physicist and programmer and now a machine learning enthusiast, Dalibor
tries to bridge the gap between the technical world of data science and the
business-oriented world of ERP systems.

Follow Dalibor on SAP Community | LinkedIn

SARA KAZMI

Sara Kazmi is part of the SME Product Management team for Intelligent Processes.
She supports the team in adapting and implementing artificial intelligence
technology in ERP for SAP Business ByDesign.

Follow Sara on LinkedIn

KOPAL JAUHARI

Kopal Jauhari is a product owner and senior developer for SAP Business
ByDesign, focusing on the areas of machine learning, incident management, and
the BTM framework. She has designed, developed, and delivered many new features
for machine learning and other frameworks in SAP Business ByDesign.

Kopal works closely with Product Management to understand customer requirements
and create valuable features for customers. She also holds trainings for new
hires at SAP, supporting them as they begin their careers.

MORE INFORMATION

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ABOUT OPENSAP

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about SAP’s latest innovations and how to survive in the digital economy.
openSAP Enterprise MOOCs are complete courses, and learners can earn a
certificate to demonstrate the knowledge they’ve acquired. Complementary
learning opportunities exist in the form of openSAP Podcasts and openSAP
Microlearning.

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