SAP Inside Track Belgium 2018 - SAP Leonardo Machine Learning Demystified

PUBLIC
Abdel Dadouche, SAP Developer Relations
Saturday April 28th, 2018
SAP Leonardo Machine Learning
Demystified

2PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Name & Role : Abdel Dadouche, SAP Developer Relation
Buddy
Office Location: Officially Paris, France (in reality an airport, a
cab or a hotel room)
Last Know Job : Part of the SAP Predictive Go To Market and
CoE, after joining SAP via the acquisition of
KXEN
Language : French & English, in addition to “predictive”,
“machine learning” and enough “PhD” lingo
Hobby : Hackathon and Home Improvements activities
Your Speaker Today

The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the permission of SAP.
Except for your obligation to protect confidential information, this presentation is not subject to your license agreement or any other service
or subscription agreement with SAP. SAP has no obligation to pursue any course of business outlined in this presentation or any related
document, or to develop or release any functionality mentioned therein.
This presentation, or any related document and SAP's strategy and possible future developments, products and or platforms directions and
functionality are all subject to change and may be changed by SAP at any time for any reason without notice. The information in this
presentation is not a commitment, promise or legal obligation to deliver any material, code or functionality. This presentation is provided
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assumes no responsibility for errors or omissions in this presentation, except if such damages were caused by SAP’s intentional or gross
negligence.
All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from
expectations. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of their dates,
and they should not be relied upon in making purchasing decisions.
Disclaimer

Digitization helps businesses to become insight-driven by …
Machine
Learning
Integration
Real-time
Analytics
Natural
Language
Mobile
Collaboration
IoT
Microservices
Networks
APIs
connecting People, Things and BusinessesIntelligently
Big Data
Business Process
Innovation
Connected Data

Being Insight-Driven is the path to better decisions
Organizations that provide people with the insight they need when they need it to make
better decisions, and enable them to act, will disrupt and deliver growth and innovation
6© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
DATA INSIGHT DECISION

Any Size
BIG or little data, and
everything in between
Any Type
(un/semi)structured,
streaming, natural
language, IoT sensors
Any Where
Cloud, Local, Public,
Private
Insight derived from any data
7© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ

Is your organization Insight-Driven?
Research shows that insight driven decisions are
crucial to digital transformation.
“A new kind of company, we call them insight-
driven businesses, has formed.
They are growing at an average of 30% annually,
and are on track to earn $1.8 trillion by 2021.”
Forester Research, 2017
Insight-Driven Businesses set the pace for Global Growth

SAP Leonardo Digital Innovation System

SAP Leonardo Machine Learning enables the intelligent enterprise
76% of the world’s
transaction revenue
25 industries
12 lines of business
The world’s largest
business network
Data
Science
Platform
Intelligent Apps &
Machine Learning Extensions
In-Database
Machine
Learning
Machine
Learning
Services
Re-imagine business
processes with digital
intelligence
Increased customer
satisfaction with
superior service
Increase revenue with
superior sales targeting
and execution
Improving quality time
at work for employees
Business Outcomes
SAP Leonardo
Machine Learning
Enabling product,
process & business
model innovations

Machine learning: One of the key to unlock Digitization
 Machines can now see, read, listen,
understand, and interact.
 Data, small or big, can now be
accesses from anywhere, in the
cloud, on premise or in hybrid ways
 Recent hardware innovation (GPU)
has increased processing capabilities
and reduced computation time
 Deep Learning Algorithms accuracy
improvements allows now machine to
outperform human in many scenarios
 Teaching computers how to perform
tasks by learning from data – instead
of being explicitly programmed by
human
 It uses sophisticated algorithms to
“learn” from massive volumes of data.
 The more data the algorithms can
access, the more they can learn.
 Real-world machine learning
examples are everywhere. Think of
personalized product list on Amazon,
facial recognition on Facebook, or
fastest route suggestions in Google
Maps.
What is machine learning? Why now?

Machine Learning Services
enabling developers to
quickly build intelligence into
their applications and
business processes.
Data Science Platform
giving data scientists and
business analysts tools
to build machine
learning models
Intelligent Applications & Machine Learning Extensions
addressing specific business problems by lines of business
In-Database Machine Learning
giving developers, data
scientists, and IT departments
the platform needed to build
intelligence into their IT
landscapes.
Developer
Data ScientistEnd-User

Intelligent Apps & Machine Learning Extensions
SAP Cash Application
Next-generation intelligent invoice matching
powered by machine learning
• Improves days of sales outstanding
• Integrated with SAP S/4HANA for reduced TCO and
time to value
• Allows shared services to scale as the business grows
• Empowers finance to focus on strategic tasks and
service quality
• Fast: Near real-time
• Transparent Interactive Interface
• Accurate and scalable to millions of hours
• Time-annotated impact indicator API for combining
data with CRM, ERP, Web site stats
SAP Brand Impact
Reimagine marketing and sponsorship
engagements
• Automatically classifies and finds patterns
• Detects at-risk customers
• Provides understanding of root causes and timely
predictions to act
SAP Customer Retention
Build customer loyalty through proactive
retention
• Ability to focus on cases with highest likelihood of
fraud and ROI
• Integrated with SAP HANA for reduced TCO and time
to value
• Models update as patterns of fraud evolve
• Custom and 3rd-party algorithms to optimize for
customer’s business
SAP Business Integrity Screening
Identify fraud behavior
• Opportunity scoring to find the most likely
opportunities to close
• Key Factor Analysis to explain reasons
Cloud for Customer
Opportunity Scoring
• Improve service response times with automated
processing
• Integrated with SAP Hybris Service Cloud for reduced
time to value
• Allows customer service to scale with increased digital
interactions
SAP Service Ticketing
Accelerate customer service in omnichannel
front offices
Intelligent Apps & ML Extensions Data Science Platform In-Database Machine Learning Machine Learning Services
Note: This is not the exhaustive list of SAP Leonardo solutions or products for Intelligent Apps & ML Extensions

Automate the end-to-end process - data preparation,
model training and model deployment are fully automated
Enable Business Analysts & Citizen Data Scientists to
create predictive models through simplified approach
Empower the Data Scientist with both automated and
advanced algorithms
Ensure the output is ready to consume by business users
& applications.
Wide range of in-database & in application scoring options to
enable deployment everywhere
In application deployment through Predictive Analytics integrator
(PAI)
SAP Predictive Analytics
Train
model
Prepare
data
Apply
model
Capture
feedback
Data Manager
Automated Modeler Expert Analytics (VCF)
Predictive Factory
Note: This is not the exhaustive list of SAP Leonardo solutions or products for Data Science Platform

Strategic Data Platform for all SAP Applications
Machine Learning Libraries allowing in-memory co-located
transactional and analytics processing
Predictive Analytics Library
 Over 90+ algorithms, covering Classification, Regression,
Clustering, Association analysis, Time series forecasting, Link
analysis, Recommender systems, Outlier detection, statistical
and data pre-processing functions
Integration / Extensibility
 SAP HANA R integration and Google Tensorflow integration
 Streaming Analytics embedded machine learning
 Application function library (AFL) SDK embedding custom C++
functions including SAP application-specific function libraries for
optimization and demand forecasting in SAP Supply Chain- and
SAP Retail Applications
SAP HANA In-Database Machine Learning
Algorithms
And Data
Push Machine Learning
close to Data
Algorithms designed to
run in-memory
Parallel processing for
fastest predictions,
forecasts, …
Note: This is not the exhaustive list of SAP Leonardo solutions or products for In-Database Machine Learning

Leverage SAP Predictive Analytics automated technology
via SAP HANA APL
REST based services deployed into your SAP Cloud
Platform instances consuming data in your SAP HANA
instances
Delivers pre-defined “scenario oriented” services for:
- Clustering
- Forecast
- Recommendation
- Key Influencers
- Outliers
- Scoring Equation
- What-if
Include PAi REST services (Predictive Analytics Application
Integrator for Cloud Deployments)
PAi enable:
 Seamless consumption of models by Business
application like S4/HANA via Predictive Scenarios
 Business process works out of the box
 Model trains automatically on customer data
 Customer can manage the lifecycle of the model using
SAP Predictive Analytics without development cycles
 The customer’s data science team can configure &
customise the model using SAP Predictive Analytics
SAP Predictive Services
Note: This is not the exhaustive list of SAP Leonardo solutions or products for Machine Learning Services

SAP Leonardo Machine Learning Foundation
Applications
Ready to useFunctional services
• Natural language processing
• Image and video
• Tabular and time series
• Speech and audio
Business services
Ready to integrate
Lifecycle
management
Ready to train
SAP Leonardo Machine Learning Foundation
Note: This is not the exhaustive list of SAP Leonardo solutions or products for Machine Learning Services

Tabular Image Text Business Services
GA
 Time series change point detection
 Multivariate Time Series Forecast
 Similarity scoring
 Image classification
 Image feature extraction
 Customizable image classification
 Topic detection
 Intelligent Financing
 Ticket Intelligence – Classification &
Recommendation
Alpha  Univariate time series forecasting
 Product image classification
 Optical Character Recognition
 Machine translation
 Language detection
 Product text classification
 Document feature extraction
Ready-to-use Services
 Leverage pre-trained models via simple REST APIs allowing immediate usage
 Explore a rich set of ML services as building blocks for creating your own intelligent app
Bring your own model
 Deploy, publish and run your own “models” as a service
 Manage your model’s status, monitor resource consumption and validate quality periodically
 Leverage features such as authentication and scalability
Customize model
 Re-train and tailor services based on your own data with a simple API – no extensive machine learning knowledge
required
Leonardo Machine Learning Foundation

SAP Leonardo Machine Learning: Portfolio of Capabilities
Conversational
applications
(e.g. Digital Boardroom, CoPilot)
Data Preparation
Machine Learning Modelling
Extensions to existing
applications
(e.g. SAP Resume Matching)
Configurable extensions
powered by PAi
(e.g. SAP Fraud Management)
End to End Automation
Operationalization/Production
readiness
In-Application Deployment
Standalone ML Companion
applications
(e.g. SAP Brand Impact)
Text/Document
Services
(e.g. Sentiment
Analysis)
Image/Video
Services
(e.g. Image
classification)
Conversational AI Services
(e.g. Natural Language
Understanding)
Structured Data
Services
(e.g. Time Series
Analysis)
Intelligent Apps & ML Extensions
Extended ML Integration
(e.g. R, Tensorflow)
App Dev Infrastructure
(e.g. Java, JavaScript, UI5)
Data Exploration
Model Storage/Lifecycle
ManagementGeospatial
(e.g. Earth
Observation Analysis)
Developer
Business Services
(e.g. Service
Ticket
Intelligence)
Graph Services
(e.g. Recommendation
service)
Data ScientistEnd-User
Data Science
Platform
In-Database Machine LearningMachine Learning Services
Predictive and Machine Learning Functions
(e.g. classification, regression, time series forecasting)
Data
Integration
Streaming
Analytics
Database Development
(e.g. SQL, SQLScript, Graph, Spatial)
Note: This is not the exhaustive list of SAP Leonardo solutions or products

Use Cases & Hands On

Image-based product identification in customer service
Broken product similarity search
Image Feature Extraction
Similarity Scoring
Service Ticket, e-mail incl.
image of broken product
Product Identification and
automatic classification
SAP’s Machine Learning automatically classifies product images and enables faster customer
interaction with precise information on potential product repair cost or item substitution.
SAP Leonardo
ML Foundation

Learn more
Website  sap.com/ML
Online
Courses
 Getting Started with Data Science
https://open.sap.com/courses/ds1
 Enterprise Machine Learning in a Nutshell
https://open.sap.com/courses/ml1
 Enterprise Deep Learning with TensorFlow
https://open.sap.com/courses/ml2/
Online
Tutorials
 On the API HUB, with Java or SAPUI5
Social Media  @SAPLeonardo on Twitter
Co-innovate  ml@sap.com
We’re hiring  icn.sap.com/jobs.html

Check My Blog Series : Machine Learning in a Box
→ Week 1 : Introducing “Project: Machine Learning in a Box”
→ Week 2 : Project Methodologies
→ Week 3 : Algorithms Learning Styles
→ Week 4 : Get your environment up and running
→ Week 5 : Upload Machine Learning Datasets
→ Week 6 : SAP HANA R Integration
→ Week 7 : Jupyter Notebook
→ Coming soon: SAP HANA External Machine Learning with
TensorFlow!

Abdel Dadouche, SAP Developer Relations
abdel.dadouche@sap.com
@adadouche
Questions?
If you have need any information on the SAP CodeJam program,
please contact us at sapcodejam@sap.com
developers.sap.com
Visit the SAP Developer Center for
free tools and resources:
SAP Developers on YouTube
SAP Developers on Google+
Follow us:
@sapdevs on Twitter
SAP Developers on Facebook
sap.github.io on GitHub

SAP Inside Track Belgium 2018 - SAP Leonardo Machine Learning Demystified

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