Predictive Analytics World for Business 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
for Business 2018 –
From Prediction to Decision
November, 13-14, Estrel Berlin

2. Executive
Summary
Predictive Analytics World is the leading provider of
independent specialised conferences in applied Predictive
Analytics. Users, decision-makers and experts in Predictive
Analytics will meet in Berlin on 13th -14th November, in order to
learn about the latest innovations and progress, to exchange
views with similarly skilled and challenged colleagues and to be
inspired by their successes.

3. The Theme for 2018
From prediction to decision – Predictive Analytics is the path to data driven business
Willi Brandt once said „The best way to predict the future, is to make the future“. The result was
a policy of détente that changed the relationship between the two German states in a sustainable
manner - against any prediction by his political opponents and political experts.
Forecasts may be difficult in times of uncertainty, but it is precisely this insecurity that offers the
opportunity for a change. As data scientists, we prefer models with high predictive accuracy. But
how useful is a 99% certainty that a customer will be lost, to an account executive? He or she
wants to know which customers can be prevented from giving notice - and above all, how! That's
the subtle difference between churn prediction and churn prevention - between predictive and
prescriptive analytics.
In short, data science must not remain the information source for the company - it must become
the decision maker. In numerous case studies, deep dives and keynote speeches, by experienced
experts from well-known companies you will learn at this year's Predictive Analytics World for
Business how you can successfully implement this change in your organization.

4. Projects from
previous years

5. Facts &
Figures
Predictive Analytics World Berlin 2018:
 28 Sessions and Keynotes
 + 250 Attendees
 Three conferences running parallel:
http://datadrivenbusiness.de
 Worlwide series of events :
http://predictiveanalyticsworld.com
 Further information :
http://www.predictiveanalyticsworld.de

6. Satisfaction of
attendees (1/3)
“For the second time, we participated in the
Predictive Analytics World and were once
again very impressed by the quality of the
presentations. In addition, we were able to
win a well-known customer at the Predictive
Analytics World, so the participation was
worth twice as much for us.”
Dr. Michael Allgöwer, Head Competence
Center Data Science, b.telligent GmbH & Co.
KG

7. "The Predictive Analytics World has given me a
very exciting, very inspiring context for what
data will deliver in the future. I was given some
very valuable insights in companies that have
shown me how they already work with data
today. It was a great, inspiring conference for
me.“
Dirk Von Gehlen, Head Social Media, jetzt.de
Satisfaction of
attendees (2/3)

8. "The DDB serves the data hype in a pleasant way.
It is not a nerd conference, but a meeting place
for business owners, marketers and developers
alike. The mix is unique: customers and service
providers, traditional companies and exciting start
ups, suggestions for BI, marketing as well as
product and business development.“
Christian Gersmeier, Head Strategic Marketing,
ProSiebenSat.1 TV Germany
Satisfaction of
attendees (3/3)

9. Further
opinions
„Excellent organisation.
Interesting lectures.“
"The lectures were all very good. In particular,
the keynotes were very well chosen and
represented very interesting,
also varied topics at the conference."
"Many sessions with very good content, no sales shows by service providers
and software providers (contrary to other events). Very open exchange during
the Q & A following the sessions and no glorification of results by speakers.
Attendees with high professional know-how and thus very good discussions
during the breaks."

11. High proportion of
decision-makers
2%
56%
42%
Freelancer &
Entrepreneurs
Employees
Decision-Makers

12. Professional
audience 4%
12%
12%
72%
Other
Marketing & Sales
Business Analytics
Data Science

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

14. Day 1:
Data-Driven Marketing, Sales & Service
Decision making has become more difficult – this is
espcially true for Marketing & Sales: How can you
optimize budget allocation? Which client meetings are
likely to be worth the investment? The answers are
delivered by predictive analytics methods such as
data-driven attribution or lead scoring. Day 1 of
Predictive Analytics World for Business will focus on
predictive and prescriptive analytic methods and
applications for Marketing, Sales & Service.

15. Day 2:
Data-Driven Processes & Products
While the first day of the conference is
dedicated to the customer side, on the second
day we look at the companies and their
business processes and products: how does
Machine & Deep Learning help optimize supply
chains, production processes, transportation
routes, personnel decisions and products?
What are the consequences for the economy,
society and the environment?

16. Topics: Methods
 Regression Models
 Decision Trees
 Time Series Models
 Neural Networks
 Bayesian Methods
 Kernel-Methods
 Markov Chains & Monte Carlo
Simulations
 … and many more.

17. Topics: Applications
 Data, Text, Process, Stream & Network
Mining
 Clustering & Classification
 Natural Language Processing & Generation
 Anomaly & Event Detection
 Association Rule Learning & Recommender
Systems
 Predictive Maintenance & Digital Twins
 Risk Scoring & Fraud Detection
 … and others.

18. Topics: Challenges
 Predictive vs. Prescriptive Analytics
 Machine-Learning-as-a-Service & Self-
Service Predictive Analytics
 Model Factories & Management
 Data Lakes & Labs
 Feature Engineering & Model
Evaluation
 White vs. Black Box
 … and many more.

19. Topics: Tools
 R
 Python
 Scala
 KNIME
 RapidMiner
 WEKA
 … and others.

20. 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 with presentation of the solution in
detail and clear statements about the economic success
of the project. 25 minutes plus 5 minutes Q & A.
Deep Dive: Introduction or guidance on technical
respectively subject-specific basics and on specific
procedures, methods and tools of Predictive Analytics.
No pure presentation - instead active discussion with the
attendees. 50 minutes plus 10 minutes Q & A.

21. 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.
Presentation
formats for
sponsors

22. Day 1: Data-Driven Marketing, Sales & Service Day 2: Data-Driven Processes & Products
Track 1:
Case Studies
Track 2:
Deep Dives
Track 3:
Deep Dives
Track 1:
Case Studies
Track 2:
Deep Dives
Track 3:
Deep Dives
Forenoon
Keynote [60 Min.]: Marketing & AI – Beyond Chat-Bots, AdTech & Co. Keynote [60 Min.]: From Mass Production to Mass Customization
Data-Driven Marketing Sessions [30
Min.]:
- Attribution
- Real-time Bidding
- Customer Segmentation
- Uplift Modeling
- Next-Best-Action Modeling
- …
Session [60
Min.]: Ensembl
Learning
Session [60
Min.]:
GDPR & e-
Privacy
Data-Driven Products Sessions [30 Min.]:
- Personalization
- Mass Customization
- Intelligent Assistants
- AI-as-a-Service
- …
Session [60
Min.]: Model
Selection &
Evaluation
Session [60
Min.]: Text
Mining
Session [60
Min.]: Deep
Learning
Session [60
Min.]: Uplift
Modeling
Session [60
Min.]: Model
Visualization &
Interpretation
Session [60
Min.]: Stream
Mining
Afternoon
Keynote [60 Min.]: Driving Sales – Automatization & Optimization Keynote [60 Min.]: Connecting the Internet of Things & Internet of People
Data-Driven Sales & Service Sessions
[30 Min.]:
- Churn Prevention
- Fraud Detection
- Recommender Systems
- Revenue Prediction
- Dynamic Pricing
- …
Session [60
Min.]:
Reinforcement
Learning
Session [60
Min.]:
Recommender
Systems
Data-Driven Processes Sessions [30 Min.]:
- Predictive Maintenance
- Route Optimization
- Anticipatory Shipping
- Process Mining & Optimization
- Predictive Replenishment
- Demand Forecasting
- …
Session [60
Min.]: Model
Performance &
Scalability
Session [60
Min.]: Process
Mining
Session [60
Min.]: Transfer
Learning
Session [60
Min.]: Feature
Engineering
Session [60
Min.]: Model
Factories &
Management
Session [60
Min.]: Graph
Mining
42AI: Pitch Competition for AI Start-ups (www.42ai.biz)

23. Tips for a successful abstract
 Get attention - with a short and concise title.
 The abstract, like a good appetizer, should make you want
more: to motivate the visitor to attend your session.
 Specify: name the problem, describe the solution, and quantify
the benefit.
 Give a promise: tell the listener what he can learn and use
from your session for his work.
 See some examples from last year’s PAW :
https://predictiveanalyticsworld.de/de/berlin2017/programm/

24. Tips for a successful lecture
 No sales pitch. Convince with your project, your person and
your expertise.
 Be open, honest and concrete: How did you solve the
problem? What did not work? How much is the benefit in
figures? How did you validate the forecast?
 Start understandably for everyone and go increasingly into
detail for the experts.
 Make room and take the time for content-related questions
and professional discussions.

25. Juni 29: Submission
Deadline for
abstracts
Oktober 30:
Submission of
presentations
November 13-14:
PAW Berlin
Dates

26. Support
PAW!
 We are looking for competent speakers on exciting
topics. Share our Call for Speakers with your
network.
 We are looking for cooperation partners for
marketing: where and how do we reach potential
attendees? Let us know your ideas.

27. 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

28. Martin Szugat
Programme Chair
Phone +49 176 1019 0176
Email martin.szugat@datentreiber.de
Web datentreiber.de
Your contact persons:
Sandra Finlay
Conference Chair
Phone +49 8151 5566045
Email sandra.finlay@risingmedia.com
Web risingmedia.de