The Predictive Analytics World conference in Düsseldorf on February 2-3, 2017, aims to connect users, decision makers, and experts in predictive analytics to explore the latest advancements and share success stories related to Industry 4.0. Attendees will gain insights through presentations on real-world applications and business cases in predictive analytics, covering a range of topics from predictive maintenance to machine learning. The event offers a platform for technical exchange and seeks to inspire both seasoned experts and newcomers in the field.

1. 2-3 February 2017, Düsseldorf
Predictive Analytics, the pathway to Industry 4.0

2. Executive
Summary
Predictive Analytics World is the leading provider of
independent specialized conferences in applied predictive
analytics around the industry 4.0. Users, decision makers and
experts in predictive analytics will meet on 2. February in
Düsseldorf in order to discover the latest findings and
progress, to exchange among specialists and in person and to
be inspired by the success stories.

3. The main topic for 2017
With Predictive Analytics to Industry 4.0
Since the German federal government have coined the definition “Industrie 4.0” as a
indentation of industrial production with intelligent information technology at the
Hannovermesse 2011 it was talking and writing a lot of the Internet of things, big data,
smart factories and artificial intelligence. We would like to go the next step with the
Predictive Analytics World Manufacturing: our speakers will show you what they have
done at the practice at nameable companies of the industry and which economic use
these companies have pulled out from it.
The sessions at the two-day conference „Predictive Analytics World Manufacturing” are
from experts to experts and present concrete case studies and business scenarios of
predictive analytics with context on industrial production. As an attendee you will
learn the application of predictive analytics breadthways and you will find out how the
solutions in the detail works. The PAW would like to inform but also imbue and it is a
forum for technical exchange of experienced experts and interested career changer
first-time user.

4. Facts &
Figures
Predictive Analytics World in general:
 Berlin 2016: 20 Sessions & +150
Participants
 Global events series:
http://predictiveanalyticsworld.com
 Further Information at:
http://www.predictiveanalyticsworld.de

5. Participant
satisfaction
"This is the second time we have taken part in
Predictive Analytics World and we were once
more extremely impressed by the quality of
the presentations. In addition, we managed to
win a prestigious customer at Predictive
Analytics World, so participation for us was
doubly worthwhile."
Dr. Michael Allgöwer, Head of Competence
Center Data Science, b.telligent GmbH & Co.
KG

6. More
Opinions
"Well organized.
Interesting presentations."
"The presentations were all of good quality. In
particular, the keynote speeches were well
chosen and interesting and diverse topics were
covered during conference."
“ software vendors (unlike other events). Very open exchanges during the Q &
A which followed the talks and no glorification of results by the speakers.
Participants with a high level of technical knowledge, thus enabling fruitful
discussions during the breaks."

7. High proportion of
decision-makers
52%
44%
4%
Decision
Maker
Employee
Self-employed

8. Experts with experience
12%
20%
16%
16%
24%
< 1 year
1-3 years
4-6 years
7-10…
10 +…

9. Topics
 Predictive Maintenance & Logistics
 Outlier & Anomaly Detection
 Fault Prediction & Failure Detection
 Risk Management & Prevention
 Supply Chain Analytics
 Image & Video Recognition
 Internet of Things & Smarte Sensoren
 Stream Mining & Real-time Prediction
 Machine ~, Ensemble ~ & Deep Learning
 Process Mining & Network Analyses
 Model Management & Model Factory

10. Presentation
formats
Keynote: A visionary presentation on a significant topic
in the field of predictive analytics.
Session: Presentation of a real business case in predictive
analytics with detailed information on the solution and
clear evidence of the economic success of the project.

11. We invite service and product providers to present their
services and products to the specialist audience in
Sponsored Sessions:
Sponsored Session: Presentation of own products or
customer projects ideally with examples from real
customer assignments.
Presentation
formats for
sponsors

12. Tips for a successful abstract
 Grab the visitor’s attention – with a short and concise
title.
 Like a good appetizer the abstract should leave you
wanting more: it should motivate the visitor to take part
in your presentation.
 Be concrete: Identify the problem, describe the solution
and quantify the benefits.
 Make a promise: tell the visitor what he can take away
from your presentation for his work.
 Examples from PAW16 can be found here:
http://predictiveanalyticsworld.de/berlin2016/programm/

13. Tips for a successful presentation
 Not a sales show. Convince through your project, your
personality and your expertise.
 Be open, honest and concrete: How did you solve the
problem? What did not work? How great is the benefit in
numbers? How did you validate the forecasts?
 Simply begin at a level which is comprehensible for
everyone and increasingly enter into detail for the experts.
 Make space and take the time for substantive issues and
technical discussions.

14. November 30 2016:
Deadline for
Abstracts
January 13 2017:
Presentations must
be submitted
February 2-3 2017:
PAW Manufacturing
in Düsseldorf
Dates

15. Spread the news!
Share the buzz!
Predictive Analytics World Germany:
 https://www.facebook.com/PAWDeutschland
 https://twitter.com/PAWDeutschland
 http://de.slideshare.net/PAWDeutschland
Predictive Analytics World International:
 https://twitter.com/pawcon
 https://www.facebook.com/pawcon
 Twitter-Hashtag: #pawcon

16. Contact
Martin Szugat
Programme Chair
Phone 0176 1019 0176
Email martin.szugat@datentreiber.de
Web datentreiber.de
Sandra Finlay
Conference Dirctor
Phone +49 8151 5566045
Email sandra.finlay@risingmedia.com
Web risingmedia.de