digital transformation and iiot at siemens

Digital Transformation

and IIOT at SiemensPatrick Riordan and Edward Kovanda

siemens.com

© Siemens 2020

2020-02-19 Dr. Patrick Riordan & Edward Kovanda / IOT Consulting

What we are sure

you already know

© Siemens 2020


This is not

SIEMENS

© Siemens 2020


This is also not

SIEMENS

© Siemens 2020


And maybe

surprising

© Siemens 2020


This also not

© Siemens 2020


What you probably

also know

© Siemens 2020


This is

SIEMENS

© Siemens 2020


What you probably do not know

© Siemens 2020


This is also

SIEMENS

• 50+ Digi Labs and AI Centers around the globe (also in Munich)

• 500+ data scientists in Germany, 200+ in Munich

• Thought leader in Responsible AI (Charter of Trust, DIN Normungsroadmap KI)

• Filed 2,493 European patents in 2019 (more than any other company), 25% in industry 4.0

and digitalization

• Corporate startup incubator Next47 with 20+ companies in the portfolio and 1bn € to invest

© Siemens 2020


Innovation happens in all

core technology areas

36 32

39

27

6

5

24

68

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59

66

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CM5: MI Core

CM4: Automated digitalization of domain knowledge

35

34

37

1

382

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29

53

CM1: AI on the edge & distributed AI

48

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CM8: AI-driven enterprise

CM6: Artificial Engineer

42

4

65

61

22

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543

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415763

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Longer term Short term

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CM2: Empower non-experts to use DA

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13

45

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1955

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CM7: Digital companion

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CM3: Self-X

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http://www.sueddeutsche.de/

https://myvideo.siemens.com/media/1_r32vrhhs















































































































































































































© Siemens 2020


We are IoT Digital Consulting

© Siemens 2020

2020-02-19Page 19 Dr. Patrick Riordan & Edward Kovanda / IOT Consulting

We are

+50021 10consultantsoffices countries

7,000developers & engineers

© Siemens 2020


… to 1000s of renewable in-feed

And accompany our customers

From few central power plants …

© Siemens 2020


… to data-driven predictive maintenance

From manual diagnostic-based maintenance …


© Siemens 2020


… to real time online monitoring

From periodic manual meter readings …


© Siemens 2020


Main question for today

© Siemens 2020


To be able to be a leading player in this field, Siemens has

transformed itself towards a software company

What is it like to do data science

at Siemens IoT today?

© Siemens 2020


Big to smart data

© Siemens 2020


Big data vs. smart data

2000s Big Data ResultArtificial

Intelligence

© Siemens 2020



2000s

Today

Big Data ResultArtificial

Intelligence

Big Data

Domain

Knowhow

© Siemens 2020



2000s

Today


Intelligence

Big Data

Smart Data

Domain

Knowhow

© Siemens 2020



2000s

Today


Intelligence

Big Data

Smart Data ResultArtificial

IntelligenceDomain

Knowhow

© Siemens 2020



Skill #1: Work with the experts

© Siemens 2020


To be able to be a leading player in this field, Siemens has

transformed itself towards a software company

The cloud and the edge

© Siemens 2020


“Asking for interpretability as a condition for

real world usages is undermining the

foundations of the whole field. If the trained

model has good performances and it’s not

interpretable we are probably on the right track;

if it’s interpretable (and the explanation is

understandable and replicable) why loosing

weeks and GPU power? Just write some if-else

clauses.”

Massimo Belloni, Data Scientist at HousingAnywhere

in his medium post from April 30th, 2019,

"If it's interpretable, it's pretty much useless"

© Siemens 2020


“AI systems and their decisions should be

explained in a manner adapted to the

stakeholder concerned. Humans need to be

aware that they are interacting with an AI

system, and must be informed of the system’s

capabilities and limitations.”

European Commission High-Level Expert Group on AI

in their "Ethics Guidelines for Trustworthy AI"

from April 8th, 2019,

© Siemens 2020


Skill #1What do I know about Sand? How often do pathways get blocked? How critical is it really?

Skill #2Who exactly and how is our customer going to be working with our solution?

Skill #3 How critical are prediction results? Life-and-death situation for involved humans? State regulated?

© Siemens 20XX

YYYY-MM-DDPage 46 Author / Department

Don’t forget

the experts

Have the end

user in mind

Sexy doesn't

always win

© Siemens 2020


“When considering how IoT can transform your

organization, remember that the business is

more important than the technology. The

technology might be exciting and new, but it

must serve the business, not the other way

around. When investigating the ROI of an IoT

initiative, the IoT solution determines the invest,

and the business problem determines the

potential return.”

Siemens IOT Services

in their whitepaper (in print)

"Introducing IOT pays off – fact or fiction?"

© Siemens 20XX


Contact us!

Dr. Patrick Riordan

IoT Consulting

Digital Consulting

Data Analytics

[email protected]

Edward Kovanda

IoT Consulting

Digital Consulting

Data Analytics

[email protected]

siemens.com

mailto:[email protected]

mailto:[email protected]

digital transformation and iiot at siemens

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