Presentation on M2MSummit16 Düsseldorf

1. Thorsten Schröer
Industry Leader Europe
IBM Global Electronics Industry
#thorschroeer
thorsten.schroeer@de.ibm.com
The Cognitive Era in
Manufacturing and Supply Chain
www.localmotors.com

2. Cognitive
Why and where does it come from?

3. 3>1890 Tabulating 1960 Programmable >2010 Cognitive

4. 1 Bronto Byte = 10 27
Adapt and make sense of all data; “read” text, “see”
images and “hear” natural speech with contextUnderstand
Reason
Interpret information, organize it and offer
explanations of what it means, with rationale for
the conclusions
Learn
Accumulate data and derive insight at
every interaction, perpetually

5. A Cognitive Solution =
Analytical
System
Natural Language Processing
(NLP)
Machine Learning/
Deep Learning
+
+

6. Why Cognitive
in Manufacturing and Supply Chain?

7. 7

8. 8
We talked to >100 Chief Supply Chain Officers in Electronics Industry in Summer 2016

9. 9
By 2018, more than
half of developers
will embed cognitive
capabilities into their apps.
IDC, Top 10 Predictions for 2016

10. Cognitive Project Examples
in Manufacturing and Supply Chain

11. 11
Cognitive Quality Advisor
Cognitive Supply Chain Disruptions Advisor
Cognitive Resolution Rooms Advisor
We teach Watson Supply Chain.
IBM Supply Chain Operations Group drives to become a cognitive business

12. Industrie 4.0 & Cognitive Factory at John Deere Mannheim
Worker Assistance

13. Industrial Robots empowered with Cognitive
Technology can...
Understand
Reason
Talk
Interact
Explain
Support
Learn

14. Images
images captured using
Imaging Station in production
11
Defects cross- checked
against library of past images
and trained algorithms for reuse
12
Reuse previously trained
algorithms and retrain in
production to handle variations
3a
Develop new image
analytics and train over sample
sets to have high accuracy; Deploy
to production as a new base case
1
3b
Variation
of past
case?
Entirely
new
case?
Connects &
Reasons
Real Time Monitor
Learning System
Machine Learning system
crawls through library and
attempts to improve algorithm
accuracy over larger data set.
5
PMQ Analytics and
reporting for daily, weekly, per
shift reports
14
COGNITIVE VISUAL INSPECTOR

15. How to get started?

16. Cognitive Manufacturing – Stairway to heaven
Gather the
data
Visualize the
patterns
Advance to
analytics
Infuse with
cognitive
• Instrument your
equipment/assets to
collect data
• Gather already
existing data
• Visualize your data
in meaningful
dashboards
• Start to see patterns
• Gain insights from
the data
• Produce models,
prediction
recommendations
• Enrich with data
from other sources
• Refine models with
cognitive machine
learning
• Utilize other
cognitive functions
to improve
engagement
Asset needs to
be connected,
outfitted with
sensor or data
gathered
Use analytical
models to predict
equipment failures
and provide
recommendations
Use the
platform to
quickly build
dashboards for
data
visualization
Use speech,
video, image
to diagnose
complex
problems

17. With 1,000 Watson IoT experts in a campus environment, the center
will provide access to the talent, the technology, and the tools
needed to create products and services that deliver on the promise
of Cognitive IoT.
Open for Business
IBM Watson IoT | Global Headquarters - Munich
www.ibm.com/WatsonIoT
Cognitive Factory
Floor

18. What‘s next?

19. IBM, Google, Facebook, Amazon und Co tun
sich zusammen

20. For more go to
www.partnershiponai.org
www.ibm.com/WatsonIoT
www.linuxfoundation.org
www.ibm.com/cognitive
www.localmotors.com
Thorsten Schröer
#thorschroeer
thorsten.schroeer@de.ibm.com
Play with „Cognitive“ and get free Bluemix Account :
www.ibm.com/bluemix