Predictive Analytics World Berlin 2016November 8-9, Estrel Berlin– The Pathway to the Algorithmic Business
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.
Lead Topic for 2016The 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.
Projects from previous years:
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
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"
“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
"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
High Proportion of Decision-Makers
Self-employed
Employee
Decision Maker
4%
44%
52%
Expert Audience Other
Marketing & Sales
Business Analytics
Data Science
4%
12%
12%
72%
Experienced Experts
10 + years
7-10 years
4-6 years
1-3 years
< 1 year
24%
16%
16%
20%
12%
Day 1: Online Marketing & E-
CommerceDay 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.
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.
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 …
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 …
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.
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
Preliminary
Program
June 30: Deadline for Submissions
October 15: Presentation Submission
November 8-9: PAW Berlin
Timeline
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/
Support PAW
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Martin SzugatProgramme Director
Phone +49 176 1019 0176Email [email protected] datentreiber.de
Contact
Sandra FinlayConference Director
Phone +49 8151 5566045Email [email protected] risingmedia.de