2. Executive
Summary
The Predictive Analytics World is the leading vendor
independent conference for applied predictive analytics
around industry 4.0. Business users, decision makers and
experts in predictive analytics will meet from 12th until 13th of
June 2018 in Munich to discover and discuss the latest trends
and technologies in machine & deep learning for the era of
Internet of Things and artificial intelligence.
3. Where AI meets IOT
Data and analytics are the two sides of the same coin. Without analytics data is worthless.
Without data analytics is useless. The same goes for IoT and AI. Without artificial intelligence the
gigantic amounts of sensor data produced by the Internet of Things devices will be worthless
because humans won’t be able to analyze it. Without the Internet of Things the artificial
intelligences will be useless because they would lack of training data for the machine learning
algorithms and the predictions and recommendations generated by the algorithms wouldn’t reach
the devices. To realize the vision of smart devices, smart factories or even smart cities, we need
smart algorithms that solve the challenges specific to industry 4.0 analytics, e.g.: enabling real-
time processing, combining edge and cloud computing, dealing with uncertainty and connectivity
issues, securing the data collection and transmission, and many more. Also, we need smart data
scientists who combine analytical expertise with industry domain knowledge. For this reason, we
invite you to participate as a speaker or visitor to the Predictive Analytics World Industry
conference and share your experiences, challenges and achievements with other participants.
5. Facts &
Figures
Predictive Analytics World in general:
Berlin 2017: +40 Sessions & +250
Participants
Global events series:
http://predictiveanalyticsworld.com
Further Information at:
http://www.predictiveanalyticsworld.de
6. 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
9. Topic proposals
Past lectures included the following
topics:
Predictive Maintenance &
Logistics
Anomaly Detection & Root
Cause Analysis
Fault Prediction & Failure
Detection
Risk Management & Prevention
Route & Stock Optimization
Industry & Supply Chain
Analytics
Image & Video Recognition
Internet of Things & Smart
Devices
Stream Mining & Edge Analytics
Machine ~, Ensemble ~ & Deep
Learning
Process Mining & Network
Analyses
Mining Open & Earth
Observation Data
Edge Analytics & Federated
Learning
… and many more related topics.
10. Presentation
formats
Keynote: A visionary lecture on a major topic in
the area of predictive analytics. 45-50 minutes
plus 10 minutes Q & A.
Case Study: Presentation of a concrete application
of predictive analytics in industry including clear
statements about the economic success of the
project. 25 minutes plus 5 minutes Q & A.
Deep Dive: Introduction to a specific technical or
analytical topic or guidance for a concrete
predictive analytics method or (open source)
tool. 50 minutes plus 10 minutes Q & A.
11. We are inviting service providers and product providers
to present their services and products to the professional
audience in sponsored sessions or sponsored deep
dives:
Sponsored Session: Presentation of your own product or
customer project by means of examples from the
customer's practice. 25 minutes plus 5 minutes Q & A.
Sponsored Deep Dive: Introduction or guidance on your
own product using practical and easy-to-understand
examples. No pure presentation - instead, active
discussion with the participants and / or the participants
can follow the examples on their own computer. 50
minutes plus 10 minutes Q & A. Max. 20 participants.
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:
https://predictiveanalyticsworld.de/manufacturing/dusseldorf2017/
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. 28. February 2018:
Deadline for
Abstracts
1. June 2018:
Presentations must
be submitted
12-13. Juni 2018:
PAW Industry in
Munich
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
Program Chair
Phone +49 176 1019 0176
Email martin.szugat@datentreiber.de
Web datentreiber.de
Sandra Finlay
Conference Director
Phone +49 8151 5566045
Email sandra.finlay@risingmedia.com
Web risingmedia.de
Editor's Notes
Martin Szugat ist Gründer und Geschäftsführer von Datentreiber [www.datentreiber.de]: einer Beratung für datengetriebene Unternehmen – und jene, die es werden wollen. Zu den Kunden von Datentreiber gehören Startups, mittelständische Firmen und Konzerne. Datentreiber ist seine zweite Unternehmensgründung. Zuvor war er Gründer und Geschäftsführer von SnipClip, einer Agentur für Social Media Marketing & Analytics-Lösungen. In seinen jungen Jahren hat er Bioinformatik studiert, im Bereich Machine Learning und Data Mining geforscht sowie als freiberuflicher Fachautor und IT-Berater gearbeitet. Seit 2014 betreut er außerdem als Programmdirektor die inhaltliche Gestaltung der Predictive Analytics World-Konferenz in Deutschland.