Predictive Analytics World is the leading provider of independent specialized conferences in applied predictive analytics. Users, decision makers and experts in predictive analytics will meet in Berlin in order to discover the latest findings and progress, to exchange among specialists and in person and to be inspired by the success stories.

1. Predictive Analytics
World Berlin 2016
November 8-9, Estrel Berlin
– The Pathway to the
Algorithmic Business

2. Executive
Summary
Predictive Analytics World is the leading provider of
independent specialized conferences in applied predictive
analytics. Users, decision makers and experts in predictive
analytics will meet in Berlin 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. Lead Topic for 2016
The Algorithm Business - The Algorithmization of the Economy and Society
Algorithms dominate stock trading, have taken over media planning and now write
our financial analyses and sports reports. The intelligent automation of work and
business processes using predictive and prescriptive analytics permeates all areas
of life. Virtual personal assistants plan our purchases, travel and finances.
Predictive algorithms enable companies to become more effective and efficient.
In the future, it will be algorithms rather than simply data which will decide on the
companies’ success. Predictive models will become tradable products and the
foundations of a new economy: the algorithmic economy.
Predictive Analytics World Berlin 2016 highlights the analytical, technical and
organizational prerequisites and success factors as well as the economic and
social opportunities and the risks of algorithmization through predictive analytics.
The speakers are experts in the application of predictive analytics and will
demonstrate the real results obtained in practical projects by leading companies.
Focus will be placed on concrete professional and technical challenges and
solutions thereto will be explained in detail.

4. Projects from
previous years:

5. Facts &
Figures
Predictive Analytics World Berlin 2016:
 20 Sessions and Keynotes
 +150 Participants
 Co-located with eMetrics & Conversion
Conference: http://datadrivenbusiness.de
 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"

7. “Predictive Analytics World has given me an
exciting and particularly inspiring picture of
what data may provide in future. I have gained
great insight from companies that have shown
me how they work with data already. It was a
fantastic and inspirational exhibition for me."
Dirk Von Gehlen, Head of Social Media, jetzt.de
Participant
Satisfaction

8. "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.”
"Lots of content-rich presentation – not sales shows for service providers
and 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. "
Participant
Satisfaction

10. High Proportion of
Decision-Makers
4%
44%
52%
Self-employed
Employee
Decision Maker

11. Expert
Audience 4%
12%
12%
72%
Other
Marketing & Sales
Business Analytics
Data Science

12. Experienced Experts
24%
16%
16%
20%
12%
10 + years
7-10 years
4-6 years
1-3 years
< 1 year

13. Day 1: Online Marketing
& E-Commerce
Day 1 of the conference will be dedicated to the
future of data-driven online marketing and e-
commerce. Predictive analytics applications enable
full automation and greater personalization of
advertising campaigns and online commerce.
Intelligent processes make optimization decisions
independently and in real time. The presentations
demonstrate the successful application of
predictive analytics and prescriptive analytics in
online marketing and e-commerce and explain the
procedures and processes employed.

14. Day 2: Industry 4.0. Business 4.0.
Society 4.0?
Industry 4.0 is a vision for the intelligent factory: the
Smart Factory. But not only the production and logistics
are intelligent, also our home, our car and our
workplace will be smart. The basis for smart devices and
smart apps are the Internet of Things, Big Data and – as
regards intelligence - predictive analytics. The second
day of the conference shows the diversity of predictive
apps in different sectors and disciplines and, beyond
that, discusses the benefits and limitations of
predictive analytics for business, the economy and our
society.

15. Classic Topics
 Termination and Failure Prediction
 Customer Lifetime Value
 Fraud Detection
 Personalisation
 Referral Systems
 Credit Rating & Risk Scoring
 Sales & Market Forecasting
 Attribution Modelling
 Email & Ad-Targeting
 …

16. Innovative Topics
 Internet of Things & Industry 4.0
 Stream Mining & Real-time Prediction
 Machine ~, Ensemble ~ & Deep Learning
 Process ~, Graph ~, Network ~ & Text Mining
 Predictive APIs, Apps & Self-Service AI
 Predictive Analytics- & Training-as-a-Service
 Model Management & Model Factory
 Natural Language Processing & Generation
 …

17. Presentation
Formats
Keynote Speech: A visionary presentation on a
significant topic in the field of predictive analytics. 45-50
minutes plus 10 minutes’ Q&A.
Business Case 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. 25 minutes plus 5 minutes’ Q&A.
Technical Deep Dive Session: Introduction to or guidance
on technical or specialist fundamentals and the
specialised procedures, methods and tools used in
predictive analytics. Not simply a presentation, but active
discussion with the participants and / or participants can
work through the examples on their own computer. 50
minutes plus 10 minutes’ Q&A. Max. 20 participants.

18. We invite service and product providers to present their
services and products to the specialist audience in
Sponsored Sessions or Sponsored Deep Dives:
Sponsored Session: Presentation of own products or
customer projects ideally with examples from real
customer assignments. 25 minutes plus 5 minutes’ Q&A.
Sponsored Deep Dive: Introduction to or guidance on
one own product by means of practical and easy-to-
understand examples. Not simply a presentation, but
active discussion with the participants and / or
participants can work through the examples on their own
computer. 50 minutes plus 10 minutes’ Q&A. Max. 20
participants.
Presentation
Formats For
Sponsors

19. Day 1: Online Marketing & e-Commerce Day 2: Industry 4.0. Business 4.0. Society 4.0?
Track 1:
Business Case Sessions
(Beginners & Experts)
Track 2:
Technical Deep Dive Sessions
(Experts)
Track 1:
Business Case Sessions
(Beginners & Experts)
Track 2:
Technical Deep Dive Sessions
(Experts)
Forenoon
Keynote [60 Minutes]: From Marketing Analytics to Marketing
Automation – Moving from Predictive to Prescriptive Analytics
Keynote [60 Minutes]: Algorithmic Economy – Opportunities and Risks for the
Economy & Society
Sessions [30 Minutes] on Predictive
Analytics in Online Marketing:
- Attribution
- Real-time Bidding
- Customer Segmentation
- Targeting Optimization
- Uplift Modelling
- Response Modelling
- Next-Best-Action Modelling
- …
Session [60 Minutes]:
Stream Mining, Real-time
Prediction & Complex Event
Processing
Sessions [30 Minutes] on Predictive
Analytics in Business & Society:
- Crises & Catastrophe Detection
- Credit & Risk Scoring
- Market & Trend Forecasts
- Intelligent Assistent (e.g. Facebook
„M“ or Cortana)
- Natural Language Generation
- Predictive Policing
- …
Session [60 Minutes]:
Uplift Modeling
Session [60 Minutes]:
Deep Learning
Session [60 Minutes]:
Ensemble Learning
Afternoon
Keynote [60 Minutes]: From e-Commerce to Me-Commerce – How to
Master Personalized e-Commerce
Keynote [60 Minutes]: Industry 4.0 – Predictive Analytics and the Internet of
Things Drive the Digital Transformation
Sessions [30 Minutes] on Predictive
Analytics in e-Commerce:
- Customer Lifetime Value
Prediction
- Predictive Customer Service
- Churn Prevention
- Frau Detection
- Recommender Systems
- Revenue Prediction
- Lead Scoring
- Dynamic Pricing
- …
Session [60 Minutes]:
Process ~, Graph ~ & Network
Mining
Sessions [30 Minutes] on Predictive
Analytics in Manufacturing & Logistic:
- Predictive Maintenance
- Route Optimization
- Anticipatory Shipping
- Smart Devices & Smart Home
- IoT & Big (Sensor) Data
- Process Mining & Optimization
- Predictive Replenishment
- Anticipatory Shipping
- Demand Forecasting
- …
Session [60 Minutes]:
Natural Language Processing &
Generation
Session [60 Minutes]:
Model Management & Model
Factories (Machine Learning
Automation)
Session [60 Minutes]:
Self-Service AI, Machine-Learning-
as-a-Service, Predictive-Analytics-as-
a-Service & Predictive APIs

20. 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 PAW15 can be found here:
http://predictiveanalyticsworld.de/berlin2015/programm/

21. 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.

22. June 30: Deadline
for Submissions
October 15:
Presentation
Submission
November 8-9:
PAW Berlin
Timeline

23. Support PAW
 We are looking for competent speakers on
interesting topics. Share our Call for Sessions with
your network.
 We are looking for partners for marketing: where
and how can we reach potential participants? Let us
know your ideas.
 We are looking for work placement students for
the organisation and marketing. Do you know
someone?

24. 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

25. Martin Szugat
Programme Director
Phone +49 176 1019 0176
Email martin.szugat@datentreiber.de
Web datentreiber.de
Contact
Sandra Finlay
Conference Director
Phone +49 8151 5566045
Email sandra.finlay@risingmedia.com
Web risingmedia.de