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IOT: FROM SMART TO BRILLIANT
© 2017 Software AG. All rights reserved.
Vijay Jaswal
CTO Middle East & Turkey
2 |
DATA
© 2015 Software AG. All rights reserved. For internal use only
IS THE NEW OIL
3 |
IF DATA IS THE NEW OIL
© 2017 Software AG. All rights reserved.
AIM TO BECOME A DATA REFINERY
4 |
THREE GENERATİONS
© 2016 Software AG. All rights reserved.
OF ANALYTICS
Descriptive &
DiagnosticPredictive &
PrescriptiveDiscovery
Hindsight Insight Foresight
Query & Reporting
Streaming Analytics & Visualisation
5 |
DRİVİNG REAL VALUE
© 2016 Software AG. All rights reserved.
THE MATURITY CURVE
Time
Inc
rea
sin
g V
alu
e &
RO
I
Disparate Sensors and Initiatives
Make Sense of Multitude of Inputs
Sense
Pan-Sensor Visibility
‘Actionability’
Query & Reporting
6 |
Event
Sources
SOFTWARE AG IOT ARCHİTECTURE BLUEPRİNTARCHİTECTURE FOR
Batch Layer – Slow Track
Serving Layer
Batch Views /
Queries
Co
ns
um
ers
APIs
Human
Event Store /
HDFSBatch
Analytics
© 2016 Software AG. All rights reserved. For internal use only
UM
Connect
Cloud
Predictive Modeling
Machine Learning
Universal
Messaging
Device, Cloud,
EIT & PIT
Connect
Query & Reporting
7 | © 2017 Software AG. All rights reserved.
8 | © 2017 Software AG. All rights reserved.
9 |
STEP 2FROM SMART TO SMARTER
© 2016 Software AG. All rights reserved.
10 |
DRİVİNG REAL VALUE
© 2016 Software AG. All rights reserved.
THE MATURITY CURVE
Time
Inc
rea
sin
g V
alu
e &
RO
I
Disparate Sensors and Initiatives
Make Sense of Multitude of Inputs
Sense
Pan-Sensor Visibility
‘Actionability’
Query & Reporting
Alert and suggest actions
to improve and correct
‘Actionability’
Streaming Analytics & Visualisation
11 |
Event
Sources
SOFTWARE AG IOT ARCHİTECTURE BLUEPRİNTARCHİTECTURE FOR
Speed Layer – Fast Track
Batch Layer – Slow Track
Serving Layer
Real-time
Views/Queries
Batch Views /
Queries
Co
ns
um
ers
APIs
Processes
Alerts
Human
Event Store /
HDFSBatch
Analytics
APAMA
Streaming
Analytics
© 2016 Software AG. All rights reserved. For internal use only
UM
Connect
Cloud
UM
Universal
Messaging
Terracotta
Context
Enrichment
Predictive Modeling
Machine Learning
Universal
Messaging
Device, Cloud,
EIT & PIT
Connect
Streaming Analytics & Visualisation
12 |
SOFTWARE AG RANKED AS A LEADERSTREAMİNG ANALYTİCS
Source: The Forrester Wave™: Streaming Analytics, Q3 2017, Forrester Research, Inc., September 7, 2017
The Forrester Wave is copyrighted by Forrester Research, Inc. Forrester and Forrester Wave are trademarks of
Forrester Research, Inc. The Forrester Wave is a graphical representation of Forrester's call on a market and is
plotted using a detailed spreadsheet with exposed scores, weightings, and comments. Forrester does not
endorse any vendor, product, or service depicted in the Forrester Wave. Information is based on best available
resources. Opinions reflect judgment at the time and are subject to change.
“Software AG’s Apama continues to be a broadly
applicable and perennially capable streaming
analytics platform.”
“With its recent acquisition of Cumulocity,
Apama deeply extends its reach deeper into
industrial IoT use cases by providing device
management, digital twin, and other
connectivity-oriented services.”
“There is no stopping Apama to become the
real-time engine for digital transformation that
extends all the way from the factory floor to
direct customer interactions.”
13 |
FINAL STEPFROM SMARTER TO BRILLIANT
© 2016 Software AG. All rights reserved.
14 |
DRİVİNG REAL VALUE
© 2016 Software AG. All rights reserved.
THE MATURITY CURVE
Time
Inc
rea
sin
g V
alu
e &
RO
I
Disparate Sensors and Initiatives
Make Sense of Multitude of Inputs
Sense
Pan-Sensor Visibility
‘Actionability’
Query & Reporting
Alert and suggest actions
to improve and correct
‘Actionability’
Streaming Analytics & Visualisation
Automatically take
‘Corrective Actions’
Automate
15 |
EXTENSION OF STREAMING ANALYTICS
© 2017 Software AG. All rights reserved.
WITH DEEP LEARNING
16 |
Event
Sources
SOFTWARE AG IOT ARCHİTECTURE BLUEPRİNTARCHİTECTURE
Speed Layer – Fast Track
Batch Layer – Slow Track
Serving Layer
Real-time
Views/Queries
Batch Views /
Queries
Co
ns
um
ers
APIs
Processes
Alerts
Human
Event Store /
HDFSBatch
Analytics
APAMA
Streaming
Analytics
© 2016 Software AG. All rights reserved. For internal use only
UM
Connect
Cloud
UM
Universal
Messaging
Terracotta
Context
Enrichment
Export Predictive Model
For Execution
(PMML)
Predictive Modeling
Machine Learning
Universal
Messaging
Device, Cloud,
EIT & PIT
Connect
17 |
PREDİCTİVE MAINTENANCE
© 2016 Software AG. All rights reserved. For internal use only
ON SPRAYING ROBOTS
18 |
ANALYTİCS PROBLEM
© 2016 Software AG. All rights reserved. For internal use only
2 İSSUE PATTERNS
Rotation- issue Air pressure issue
19 | © 2017 Software AG. All rights reserved.
20 |
KEY IOT DOMAINS FOR SOFTWARE AG
© 2016 Software AG. All rights reserved. For internal use only
Connected Operations
Use Cases Categories
Connected Manufacturing
Connected Asset Management
Connected Worker
Connected Transport
Use Cases Categories
Connected Vehicle
Connected Freight
Connected Fleet
ConnectedRetail
Use Cases Categories
Connected Customer
Connected Inventory
Connected
Store
21 |
USE CASE – CONNECTED MANUFACTURINGGERMAN COILED COPPER WIRE PRODUCER
22 |
GE: PREDİCTİVE MAİNTENANCEFİELD SERVİCES CAN PREVENT OUTAGES
Always On AnalyticsObjective Automated actionPredictive Analytics
GE Jenbacher Generators
23 |
SOFTWARE TRANSFORMS
© 2017 Software AG. All rights reserved. For internal use only
“The ability to respond quickly to client requests and roll out completely new service offerings in
two months gave us a huge strategic advantage. Our team, working with Software AG’s IoT
platform, made it happen.”
— Ton de Jong | CIO, Royal Dirkzwager
From data overload to data advantage with IoTFor Royal Dirkzwager and their clients, knowing where a vessel is at sea is paramount. But the
world’s oceans are large and tricky to monitor. To cope with the continuous stream of
information—and to exploit it for added functionality and reduced costs—Royal Dirkzwager
turned to Apama Analytics & Decisions and webMethods Integration, part of the Software AG
Digital Business Platform. And just like that, the liability of overload turned into a strategic
advantage by sifting through and utilizing information to help Royal Dirkzwager’s clients make
better maritime logistics decisions.
Customer Profile Royal Dirkzwager tracks nearly 2 trillion ship locations a
year for 800 maritime organizations in real time.
New Challenges • Overwhelming data volumes
• Growing demand for precision ship tracking
• Increasing customer functionality requests
Software AG Solutions Digital Business Platform:
• Real-Time Analytics powered by Apama
• Application Integration powered by webMethods
Key Benefits • Increased real-time message handling from 500 to
1,500 per second
• Extended live ship tracking from 40km off-coast to
global capture
• Enabled accurate, customer-accessible ship ETAs
• Reduced new service turnaround time
ROYAL DIRKZWAGER
WHAT MAKES YOU BRILLIANTCONCLUSION
© 2017 Software AG. All rights reserved.
25 |
BRILLİANT COMPANIES USE OUR IOT FOUNDATION
© 2017 Software AG. All rights reserved.
TO BECOME A DATA REFINERY
UNLEASH YOUR DIGITAL VISION#WITHOUTCOMPROMISE
TURKEY
15 Kasım 2017
Wyndham Hotel, Levent
http://software.ag/innovationtour_turkey/default.aspx
27 | © 2017 Software AG. All rights reserved.
Thank you!
Vijay.Jaswal@softwareag,com
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