iot: from smart to brilliant - bilişim zirvesi · iot: from smart to brilliant ... universal...

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

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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

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BRILLİANT COMPANIES USE OUR IOT FOUNDATION

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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