The Predictive Analytics World Business conference will be held in Berlin on November 13-14, 2017, focusing on the 'awakening of artificial intelligence' due to advancements in processing power and data availability, and highlighting its growing application in various industries. The event aims to bring together decision-makers and experts to share insights on predictive analytics, featuring a variety of topics ranging from customer experience to smart industries, with numerous sessions and networking opportunities. Attendee satisfaction from past events indicates high-quality presentations and valuable insights for professionals in the field.

1. Predictive Analytics World
Business 2017
13th – 14th November, Estrel Berlin
– The awakening of artificial intelligence

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 on a skilled and personal level and to be inspired by their
successes.

3. Main Topic for 2017
The awakening of artificial intelligence
Just a few years ago “Artificial Intelligence" was considered a fiction from the past. Now AI is
awakening from its hibernation thanks to new processors ("GPUs") due to the growing amount of
data („Big data") and not least due to advances in the research and application of neural networks
(„Deep learning").
But something else has changed since the last AI boom in the 1980s and the subsequent AI winter
in the 90s: there is a growing demand in the economy and industry.
AI is taking over customer communication and control warehousing. It cautions against machine
failures and interacts with financial products. It recognizes diseases and identifies fraud cases.
The most important tool of AI is the process of machine learning for the prediction of events as
well as the evaluation of decisions. In other words: Predictive and Prescriptive Analytics. Whoever
wants to understand the opportunities, limits and risks of AI has to deal with the concrete
methods and applications of Predictive & Prescriptive Modeling.
That is exactly what the speakers at Predictive Analytics World Business do: they show how they
have mastered complex challenges with Predictive Analytics by using real projects from corporate
practice that have benefited their business.

4. Projects from
previous years:

5. Facts &
Figures
Predictive Analytics World Berlin 2016:
 28 Sessions and Keynotes
 Ca. 220 attendees
 Running parallel to eMetrics & Conversion
Conference: 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 saleshows 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%
Self-employed
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: Smart
Customer Experience
A good product, low prices and the right promotion are
no longer enough to stand up against Amazon & Co.
Start-ups are successful, not because they are digital,
but because they are customer-centric. They rely on a
personalized customer experience - from marketing
through sales to service. The tools required for this are
by no means restricted to the start-ups. Established
businesses can also benefit from Predictive Analytics by
increasing revenues, more satisfied customers and lower
costs. This is demonstrated by the lectures at the
Predictive Analytics World on Day 1.

15. Day 2: Smart Industry,
Economy & Society
Our thermostat learns when to switch the
heating on and off, the factory knows when to
order components, and the traffic lights control
the traffic in such a way that there is no traffic
jam even at peak times. Sounds like a future? By
no means: that is the present. What is already
feasible today and will be possible tomorrow in
the areas of industry, business and society, will
be shown by the speakers on Day 2 at Predictive
Analytics World Business.

16. Classic topics
 Churn Prevention & Failure Prediction
 Customer Lifetime Value
 Fraud detection
 Personalization
 Recommendation systems
 Credit & Risk Scoring
 Revenue & Market forecast
 Attribution models
 Email & Ad-targeting
 …

17. 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
 Model Management & Model Factory
 Natural Language Processing & Generation
 Smart Devices, Homes, Factories, Cities,
Industries, Economies & Societies
 …

18. 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. Max. 20
attendees.

19. 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

20. Day 1: Smart Customer Experience Day 2: Smart Industry, Economy & Society
Track 1:
Case Studies
(Beginners & Experts)
Track 2:
Deep Dives
(Beginners)
Track 3:
Deep Dives
(Experts)
Track 1:
Case Studies
(Beginners & Experts)
Track 2:
Deep Dives
(Beginners)
Track 3:
Deep Dives
(Experts)
Morning
Keynote [60 minutes]: How to merge marketing, sales & service with
Predictive Analytics to customer experience management
Keynote [60 minutes]: From Smart Homes through Smart City to Smart Society -
how intelligent systems change our everyday lives and our society
Sessions [30 minutes] for Predictive
Analytics in the online marketing:
- Attribution
- Real-time Bidding
- Customer Segmentation
- Uplift Modeling
- Next-Best-Action Modeling
- …
Session [60
minutes]:
Ensemble
Learning
Session [60
minutes]:
Model
Factories &
Management
Sessions [30 minutes] for Predictive
Analytics in economy & society:
- Credit & risk scoring
- Intelligent assistance (like Facebook
„M“ or Cortana)
- Natural Language Generation
- Predictive Policing
- …
Session [60
minutes]:
Predictive Analytics
with R
Session [60
minutes]:
Graph Mining
Session [60
minutes]: Deep
Learning
Session [60
minutes]: IoT &
Industry 4.0
Session [60
minutes]:
Predictive A. with
Scala / Python
Session [60
minutes]:
Stream Mining
Afternoon
Keynote [60 minutes]: From e-commerce to smart commerce - why AI-
first becomes rule in the online trade
Keynote [60 minutes]: From Smart Devices through Smart Factories to the Smart
Economy – how Robotics & AI smoothen the transition from mass production to
mass customization
Sessions [30 minutes] for Predictive
Analytics in the e-Commerce:
- Churn Prevention
- Frau Detection
- Recommender Systems
- Revenue Prediction
- Dynamic Pricing
- …
Session [60
minutes]:
Uplift
Modeling
Session [60
minutes]:
Advanced
Deep Learning
Sessions [30 minutes] for Predictive
Analytics in the industry:
- Predictive Maintenance
- Route Optimization
- Anticipatory Shipping
- IoT & Big (Sensor) Data
- Process Mining & Optimization
- Predictive Replenishment
- Demand Forecasting
- …
Session [60
minutes]: Text
Mining
Session [60
minutes]:
Reinforcement
Learning
Session [60
minutes]:
Process Mining
Session [60
minutes]:
Prescriptive
Analytics
Session [60
minutes]: Big
Data / Hadoop
Session [60
minutes]: Data
Design Thinking
Self-Service.AI: Pitch Competition for AI-driven SaaS Start-ups
(www.selfservice.ai)

21. 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.

22. 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.

23. 30th June:
Submission deadline
for abstracts
30th October:
Submission of
presentations
13th -14th
November: PAW
Berlin
Roadmap

24. 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.

25. Spread the news!
Share the buzz!
Predictive Analytics World Deutschland:
 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

26. 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