This document provides summaries of various topics related to SAP Leonardo and emerging technologies. It discusses how SAP Leonardo can help organizations optimize their processes using intelligent technologies like the Internet of Things, machine learning, analytics, blockchain, and big data. Specific examples are provided of how these technologies have been applied in industries like utilities, industrial machinery, and public sector to improve asset management, increase stability and throughput, and better understand issues like drug abuse crises. The benefits of SAP Leonardo to organizations include integrating emerging technologies, assessing equipment reliability, improving shipment tracking, and adding new technologies to help businesses stay competitive.
1.Introduction
2.Overview
3.Why Big Data
4.Application of Big Data
5.Risks of Big Data
6.Benefits & Impact of Big Data
7.Conclusion
‘Big Data’ is similar to ‘small data’, but bigger in size
But having data bigger it requires different approaches:
Techniques, tools and architecture
An aim to solve new problems or old problems in a better
way
Big Data generates value from the storage and processing
of very large quantities of digital information that cannot be
analyzed with traditional computing techniques.
Content:
Introduction
What is Big Data?
Big Data facts
Three Characteristics of Big Data
Storing Big Data
THE STRUCTURE OF BIG DATA
WHY BIG DATA
HOW IS BIG DATA DIFFERENT?
BIG DATA SOURCES
BIG DATA ANALYTICS
TYPES OF TOOLS USED IN BIG-DATA
Application Of Big Data analytics
HOW BIG DATA IMPACTS ON IT
RISKS OF BIG DATA
BENEFITS OF BIG DATA
Future of big data
It is a brief overview of Big Data. It contains History, Applications and Characteristics on BIg Data.
It also includes some concepts on Hadoop.
It also gives the statistics of big data and impact of it all over the world.
The Pros and Cons of Big Data in an ePatient WorldPYA, P.C.
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1.Introduction
2.Overview
3.Why Big Data
4.Application of Big Data
5.Risks of Big Data
6.Benefits & Impact of Big Data
7.Conclusion
‘Big Data’ is similar to ‘small data’, but bigger in size
But having data bigger it requires different approaches:
Techniques, tools and architecture
An aim to solve new problems or old problems in a better
way
Big Data generates value from the storage and processing
of very large quantities of digital information that cannot be
analyzed with traditional computing techniques.
Content:
Introduction
What is Big Data?
Big Data facts
Three Characteristics of Big Data
Storing Big Data
THE STRUCTURE OF BIG DATA
WHY BIG DATA
HOW IS BIG DATA DIFFERENT?
BIG DATA SOURCES
BIG DATA ANALYTICS
TYPES OF TOOLS USED IN BIG-DATA
Application Of Big Data analytics
HOW BIG DATA IMPACTS ON IT
RISKS OF BIG DATA
BENEFITS OF BIG DATA
Future of big data
It is a brief overview of Big Data. It contains History, Applications and Characteristics on BIg Data.
It also includes some concepts on Hadoop.
It also gives the statistics of big data and impact of it all over the world.
The Pros and Cons of Big Data in an ePatient WorldPYA, P.C.
PYA Principal Dr. Kent Bottles, who is also PYA Analytics’ Chief Medical Officer, presented “The Pros and Cons of Big Data in an ePatient World” at the ePatient Connections 2013 conference.
Big Data - The 5 Vs Everyone Must KnowBernard Marr
This slide deck, by Big Data guru Bernard Marr, outlines the 5 Vs of big data. It describes in simple language what big data is, in terms of Volume, Velocity, Variety, Veracity and Value.
Oracle Digital Business Transformation and Internet of Things by Ermin PrašovićBosnia Agile
This session discuss solutions and Oracle strategy to support digital transformation for companies interested in their business transformation path as well as how to allign with modern trends brought by digitalization. Second part of this session discuss news Oracle has in its offer for the Internet of Things (IoT) services and including solutions based on IoT.
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Startup pitch presented by co-founder and CEO Jaco Els. Cubitic offers a predictive analytics platform that allows developers to build custom solutions for analytics and visualisation on top of a machine learning engine.
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2. You can also the link for getting special offers and related article
biggest technology trends
Artificial Intelligence
Data Science
Internet of Things
Nanotechnology
Robotic Process Automation (RPA)
Virtual Reality
Edge Computing
Intelligent apps
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InfoRepos Academy Introduction v1.1 - IIOT Experiential Learning ProgramInfoRepos Technologies
Introduction to IIOT Course & Benefits:
This is an Experiential Learning Program in the Industrial Internet of Things Area. This course covers below topics:
- Fundamentals of Electronics for IOT Engineering
- Using Arduino & RaspberryPi_Programming for IOT
- Manufacturing PCB & Component Assembly of IOT Devices
- Embedded Systems Coding & Firmware Injection
- Fundamentals of Python Programming
- Fundamentals of SQLite & MySQL
- Advances IIOT Programming using Python
- Data Storage & Accessing Mechanism Using MySQL & Cloud
- Data Sciences - Deep Learning with TensorFlow for IIOT
- Data Sciences - Machine Learning using IBM Watson for IIOT
- Data Visualization - Tableau for IOT
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IoT: Understanding its potential and what makes it tick! by Mark TorrBosnia Agile
This presentation will discuss why IoT has the potential to revolutionize many aspects of our lives by explaining what enables it today and the promise holds for our future. In addition the presentation will dive into the components you need in a IoT solution using Microsoft Azure services to demonstrate them in action as we build a live IoT application on stage!
Since AI is becoming the first choice of most leading businesses in every vertical to take the advantage of the growing technology in recent times.
Check out, all the benefits of AI in cloud computing along with the stated downside of using the same.
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Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
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During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
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Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
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In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
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And...
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Charlie Greenberg, Host
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Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
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Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
2. Floods
massive floods in Buenos
Aires in 2013
Maintenance
can be more demanding than
in newer cities
The Paper Trail
the city manually tracked
records on over 8,000 public
service jobs a month.
City of Buenos AiresWebsite : City of Buenos Aires
1 : 3 April
2013
City of Buenos
Aires
Almost 100 people
died
3. 201
Temperatures
plunge 25° below zero
Maintenance
the wear and tear on materials
is much greater in these
extreme weather conditions
Darkness
pitch darkness for many
months of the year
Arctic Windwebsite : Arctic Wind
On a remote island
at the far tip of
Norway
Winds can howl by
at 100 miles per
hour
the glass fiber-
reinforced polyester
blades that weigh about
9,000 kg
4. 201
Suicide rates
in the United States have
risen nearly 30 percent
HarrisLogicWebsite : HarrisLogic
Suicide rates have
risen nearly 30
percent
United
States
The Zero Suicide
Institute
And HarrisLogic
5. 201
Plastic Pollution
how polluted the world’s
oceans are becoming
because of plastics.
Plastics ChallengeWebsite : SAP Leonardo Plastics Challenge
8.3 billion tonnes
of virgin plastic
have been produced
recycled (9%)
incinerated (12%)
resulting in 6.3
billion tonnes
6. Have you thought about solving
these problems ?
Do you think about the Technologies
that we can use?
Do you think about how to combine
these Technologies together ?
SAP Leonardo
Digi
tal
Innovatio
n
System
BY : MAHMOUD FARAG MOHAMMED
Let's Begin
7. Agenda of the Presentation
Introducti
on
Intelligen
t
Technologi
es
The
Internet
Of Things
Machine
Learnin
g
Analytics
Blockcha
in
Big Data
10. INTRODUCTION
SAP Leonardo is a combination of intelligent
technologies, services,
and Industry expertise that can help you optimize your
processes
11. SAP Leonardo - Intelligent Technologies
:
Connect to, process, manage, and
store a wider range of data than ever
before – from any source, structured or
unstructured.
Big Data
Embed blockchain services into your
applications to speed up transactions and
increase trust, visibility, and security.
Blockchain
Deploy analytics across your business to
uncover better insights – and develop new
processes and apps based on intelligence.
Analytics
Embed easy-to-consume machine learning
capabilities into your business – and take
advantage of AI-based insights.
Machine Learning
Use IoT technology to connect things with people
and processes, and take advantage of the
Industrial IoT and Internet of Everything (IoE).
Internet of Things
Monetize your data and create new revenue
streams by offering Data-as-a-Service (DaaS)
to customers – or for use internally.
Data Intelligence
12. Sap Leonardo Technologies – The Internet Of Things
(IoT) is the network of physical objects
that contain embedded technology to
sense and interact with their
environment and each other to collect
and exchange data to make our lives
better.
The Internet of Things :
Device Management
Integration
Data Management
Industrial IOT Platforms Are
Composed
Of The Following Technological
Functions:
Analytics
Application Enablement and Management
Security
13. Sap Leonardo Technologies – The Internet Of Things
SAP Leonardo IoT is a holistic approach to
the Internet of Things with a comprehensive
offering from the edge to the cloud, all
designed to improve business outcomes.
there are several options, several starting
points for you to get started with the
Internet of Things, including ready-to-run and
ready-to-build scenarios. And both SAP's
ready-to-run IoT solutions
SAP's customers and partner-built solutions
make the use of the same rich set of services
All these options are available as part of SAP
Leonardo IoT and are designed to give you end
to-end visibility of your IoT data within the
context of your existing lines of businesses
14. Sap Leonardo Technologies – Machine Learning
Computer learning from data
Without being explicitly
programmed
Machine learning :
Supervised learning
Unsupervised learning
Reinforcement learning
Types Of Machine Learning
Algorithms:
15. Sap Leonardo Technologies – Machine Learning
ML Foundation consists of
“Functional Services” and “Core
Capabilities”. These services and
capabilities are exposed as
consumable API for developers to
build intelligent processes.
SAP Leonardo Machine Learning :
Image Classification Service
Image Feature Extraction Service
Scene Text Recognition Service
The SAP Leonardo ML Foundation
service portfolio is available
in SAP API , Let’s look at some
of those APIs :
16. Sap Leonardo Technologies – Analytics
Analytics makes it possible for businesses to
gather and analyze data from sensors on various
steps such as manufacturing, smart meters,
machinery, other equipment, and delivery trucks.
SAP bringing predictive and machine learning
features to every single user of SAP Analytics
Cloud
there's no requirement to be fluent in
structured query language, or natural
language processing or scripting
SAP Analytics Cloud uses predictive modeling and
simulation and machine learning to understand
your data and your business
SAP Analytics Cloud is not just for business
intelligence or planning,
but it's really for the higher ideal of being able to
simply workflows by bringing together these
capabilities.
SAP Leonardo Analytics:
17. Sap Leonardo Technologies – BLOCKCHAIN
SAP Leonardo Blockchain is an easy way for
companies to both test and deploy distributed
ledgers
SAP Leonardo Blockchain technology offers
ready to use blockchain tech hosted in the SAP
Cloud.
SAP is collaborating with customers and
partners in multiple projects that are under
way in various stages to implement, to
integrate blockchain technology into
differentbusiness processes
From a technical point of view, a blockchain is
basically a linked list of blocks, with each block
containing a number of transactions. Each block
contains a hash of the previous block a
cryptographic fingerprint that uniquely identifies a
block and all its content.
is a technological concept, while Bitcoin is an implementation
of that concept.
SAP Leonardo BLOCKCHAIN:
18. Sap Leonardo Technologies – BIG DATA
With SAP’s Big Data tools, organizations can store,
manage and analyze this data; gaining valuable
insight. Big Data technologies such as in-memory
data management are the solution going forward.
Data Hub is providing all of the functionalities
which are needed to establish now the processing
within the landscape.
Data Hub is basically the infrastructure to process
the data, to integrate, and to get results out of
it. It's the infrastructure to use the machine
learning algorithms, and bring it to execution. So,
it's basically like a clue within this overall
landscapeTopics like IoT and artificial intelligence will produce
substantial amounts of data that cannot be controlled with
conventional tools. With the SAP Data Hub in combination
with SAP Analytics Cloud you can turn data chaos into
context. Easily create the basis for complete data
transparency and implement completely new application
scenarios in your company.
Big Data is the vast space of information we live in every day.
Enormous amounts of data flow daily from our computers, phones
and sensors..
SAP Leonardo BIG DATA :
19. Sap Leonardo Technologies – Data Intelligence
Data has become a strategic competitive advantage in today’s
world as it drives growth. Data Intelligence solutions help you
monetize your data and insights.
It connects, aggregates and anonymizes your data to prepare it
for commercial consumption. Data Intelligence uses business
intelligence and analytics but takes it a step further offering
ways to monetize the insights derived from your data.
SAP Leonardo Data Intelligence:
20. SAP Leonardo - Design Thinking
Explore
exploration workshop delving
into the business drivers
Deliver
the Design phase artefacts are
developed into a Proof of Concept
(PoC) to be assessed for
commercial viability
Design
begins with the Designer taking the
learnings from the Discovery phase and
producing an interactive high fidelity
prototype.
Discover
includes user research, insight
synthesis, and participatory design
21. City of Buenos AiresWebsite : City of Buenos Aires
Maintenance
Collection& Analys
of real-time sensor data
Floods
Technologies
IOT
Analytics & Big Data
22. Arctic Windwebsite : Arctic Wind
Temperature
Darkness
Maintenance
Fedem Technology
recently acquired by SAP
Digital Twin
new technology
Technologies
IOT
Machine Learning
23. Plastics ChallengeWebsite : SAP Leonardo Plastics Challenge
Technologies
IOT
Machine Learning
Plastic
Pollution
By 2050
Plastic in
ocean will
outweigh Fish
Collection& Analys
of real-time sensor data
Technologies
Big data
Analytics
24. SAP Leonardo - examples of applying it in different industries :
OBJECTIVES
• Predict whether someone who
had been in jail and with a
mental health condition
would return to jail within
six months
• Integrate mental health data
with criminal justice data
• Create a user interface that
engages and empowers the
government
user bas
RESOLUTION
• Live predictive models for
recidivism and high-volume
user
• Seamless user experience
integration that allows for
up-to-the-minute prediction
on incoming jail records
• Important predictive factors
flagged for clinician and
real-time decision support
for accurate resource
allocation
• Richer insights and fine-
grained drilldown paths
through data that extends
analysis to users wishing to
perform ad hoc analysis
• Real-time predictions using
Harrislogic
High Tech
Technologies
Big data
Analytics
25. Sap Leonardo - Features :
User-
centered
design
thinking
Integrate with
core business
Process
Real-time data
ingestion and
analytics
Reduce
operational and
maintenance cost
26. SAP Leonardo - Customer Success Stories :
Lower cost
Increased uptime
Improve turnarounds
New revenue
Reduce waste
Faster deliveries
“ FOR OVER 40 YEARS, SAP HAS BEEN HELPING CUSTOMERS MAP
THEIR JOURNEY THROUGH DIGITAL TRANSFORMATION “
The Outcomes Customers Want :
27. Alliander N.V.
Utilities
SAP Leonardo - examples of applying it in different industries :
OBJECTIVES
• Improve data quality in the
asset register, a central
repository for all assets –
such as gas pipes and
electrical cables – used
across the grid
• Reduce maintenance costs and
regulatory risks by
completing missing technical
data, such as material or
construction year, for all
assets with high accuracy
• Move away from purely rule-
based solutions for managing
the quality of asset data
that are time-consuming,
unable to detect unknown
patterns, and require
RESOLUTION
• Faster improvement in data
quality
• Lower project costs as well
as significantly less effort
and fewer resources for data
quality management
• No penalties by satisfying
regulatory requirements
• Better, more efficient
planning for asset
investmentsTechnologies
Internet of Things
Analytics
28. SAP Leonardo - examples of applying it in different industries :
OBJECTIVES
• Increase technical stability
• Improve performance and
business throughput
• Introduce efficient
maintenance of software
after the going-live event
RESOLUTION
• Established a basis for
consistent information to
support managerial decision
making
• Developed a tailor-made
engagement plan, including
project content, that met
Stara’s needs
• Piloted performance-check
and proactive application-
check services in
collaboration with the SAP
Enterprise Support Advisory
Council
Stara S/A Indústria
deIndustrial machinery
Technologies
Internet of Things
Analytics
29. SAP Leonardo - examples of applying it in different industries :
OBJECTIVES
• Combine data in new ways to
gain insight into trends
• Conduct a study to better
understand reasons for the
state’s drug abuse crisis
• Visualize issues and use
prediction to understand
drug use change over time
RESOLUTION
• Used SAP Predictive
Analytics software with the
SAP HANA platform as part of
the Management and
Performance Hub (MPH)
initiative to examine the
drug abuse crisis in ways
not possible before
• Combined large, disparate
crime lab data sets to
normalize data using DEA
drug classifications in SAP
HANA
State of Indiana
Public Sector
Technologies
Big data
Analytics
30. SAP Leonardo - examples of applying it in different industries
Customer Success Stories
Schnellecke Logistics
Bosch
Cisco
City of Buenos Aires
Severstal
Roche
Sailing Team Germany
Delaware Consulting
Schnellecke Logistics
TESTIMONIAL VIDEO
Cisco
TESTIMONIAL VIDEO
Severstal
Roche
Sailing Team Germany
Delaware Consulting
31. Sap Leonardo - Benefits To Organizations
SAP Leonardo integrates the technology breakthroughs in the SAP cloud
platform and offers design thinking methodologies, benchmarking ,
data intelligent tools for various technologies, services, and apps.
SAP Leonardo offers the fixed price and specially tailored
accelerator packages
including methodologies, cloud license, development and design
services for
prototypes to the final versionIt can operate various machines remotely and alter its functioning as
per
requirements
SAP Leonardo can assess the MTBF (Mean Time Before Failure) and MTTR
(Mean
Time To Repair) for the equipment and assets of your enterprise
Using SAP Leonardo IoT and SAP Connected Goods tools, shipment track
and
trace systems can be ease out quite considerably
SAP Leonardo keeps on adding the new emerging technologies to keep
the
business strive in the competition
32. The most important thing about SAP Leonardo
and SAP Cloud Platform is that you don’t have to wait for
the expertise and budget of a perfect future for innovation.
Start with design thinking methodology from SAP Leonardo
to embrace new models and processes. Implement through
the services at hand in SAP Cloud Platform.
Begin the transformation today.
THANK YOU