At the digital conference The Future of AI & Big Data Analytics, Dr. Cyrille Waguet speaks about AI for resilient infrastructure. Dr. Cyrille Waguet is serial entrepreneur of deep tech startups in the area of mass data processing and AI. In his current role as CTO of incontext.technology (INCTEC) he shapes tech future with smart monitoring software for the intelligent enterprise. Its unleashes data insights from equipment, machines and critical infrastructures to continuously improve operational processes and business performance. With over 20 years of experience in the development of data-intensive applications he is an outstanding expert on predictive analysis, industrial IoT and AI.

1. AI FOR RESILIENT
INFRASTRUCTURES
next level of efficiency
Dr. Cyrille Waguet, CTO
incontext.technology GmbH
04/05/2021
#processes #assets #infrastructures

2. © 2021 incontext.technology. All rights reserved. Seite 2
Resilience in the industry
Essential activities
Ability to defend oneself against adverse events
Prepare and plan
Manage and recover
Improve ability to adapt
Resilience fosters effectivity

3. © 2021 incontext.technology. All rights reserved. Seite 3
State-driven maintenance management (standard operations)
Aspired performance level
System
performance
Performance curve Performance curve
Counter-measure
Operating time
Intervention level
Resilience diagram inspired by Verkehr und Infrastruktur 2018, 1. Tagung des BMVI-Expertennetzwerks
Resilience of infrastructures
Standard operations
100
%

4. © 2021 incontext.technology. All rights reserved. Seite 4
Performance curve
Loss
severity
Duration of performance loss
Loss of system performance
Aspired performance level
Resilience diagram inspired by Verkehr und Infrastruktur 2018, 1. Tagung des BMVI-Expertennetzwerks
Resilience of infrastructures
Disruptive events
System
performance
Operating time
100
%

5. © 2021 incontext.technology. All rights reserved. Seite 5
Performance curve
Loss of
system
performance
Loss
severity
Duration of performance loss
I
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v
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Reduction
Reduction
Aspired performance level
Resilience diagram inspired by Verkehr und Infrastruktur 2018, 1. Tagung des BMVI-Expertennetzwerks
Resilience of infrastructures
Optimization potential
System
performance
Operating time
100
%

6. © 2021 incontext.technology. All rights reserved. Seite 6
Performance curve
Loss of
system
performance
I
m
p
r
o
v
e
m
e
n
t
o
f
r
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s
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l
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n
c
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Aspired performance level
Resilience diagram inspired by Verkehr und Infrastruktur 2018, 1. Tagung des BMVI-Expertennetzwerks
Resilience cycle
Measures to be taken
System
performance
Operating time
100
%
Prevent and Protect React Recover Prevent and Protect
Reduce probability
of occurrence
Reduce
consequences
Reduce
recovery time
Reduce probability
of occurrence

7. CRM
infrastructures
Business
logistics maintenance
Artificial intelligence
production
engineering
machines consumers
How to implement data driven resilience
Data basis available
IoT

8. © 2021 incontext.technology. All rights reserved. Seite 8
Technological trends
AI & IoT hand in hand for new business opportunities
Connectivity, intelligence and
automatization are the major tech
megatrends influence development
and connection between AI and IoT
supporting:
resilience
effectivity
sustainability
Source: White Paper World Economic Forum in collaboration with McKinsey & Company / 2019
Source: Gartner’s Hype Cycle for Emerging Technologies

9. © 2021 incontext.technology. All rights reserved. Seite 9
AI for resilient infrastructures
INCTEC Smart Monitoring Cloud - principles & values
Industrial AI
AI technology
for edge and cloud
Algorithms & models
Data cloud
Digital twins
Business semantics
Integration & automatization
Connectivity
Business systems & processes,
machines, assets, IoT devices
Condition monitoring
Predictive planning
Predictive maintenance
Predictive quality
Bottleneck detection
…
Service cloud

10. © 2021 incontext.technology. All rights reserved. Seite 10
Connected data for efficiency and resilience
Extended AI for business networks
Prevent
and
protect
Recover
React
Proactivity
Detection of anomalies and weak signals
Early warning
Prepare
Predictability of complex system behaviour
Reduced resource requirements
New work
Increased efficiency
More confidence and efficiency in decisions

11. QUESTIONS &
ANSWERS
Thank you!
incontext.technology GmbH
Friedrich-Ebert-Anlage 27
69117 Heidelberg
hello@inctec.de