Predictive Analytics World Berlin 2022 | Rising Media | 4 October 2022 | Radisson Collection Berlin, Karl-Liebknecht-Str. 3, 10178 Berlin, Germany

We are experiencing a Cambrian explosion in data science: It was once a niche discipline - now it is the core of successful companies such as Amazon, Tesla, Alibaba & Co. Every company has established one or even several AI labs, data offices or analytics excellence centers. Medium-sized companies are also starting their first analytics projects and data initiatives. Across all industries, we see an ever-growing number of new innovative use cases for data & analytics. While a few years ago we only talked about the “Data Scientist”, today we need Data Strategists, Analytics Translators, Data Engineers, Machine Learning Engineers, Data Stewards, DataOps Engineers, Data Product Designers and countless other specialized roles.

Our passion has become our vocation, and with it the expectations and standards placed on us. The biggest challenges, however, are neither technical nor analytical: Depending on the study, 60% to 80% of all analytics projects fail - due to a lack of user acceptance or because they do not bring any economic benefit. According to the motto "Eat your own dog food" it is up to us to improve our own performance: by doing "data-driven data science" ourselves, ie we not only have to test the model but also the business performance and To take.

This event wants to be the platform and the starting point for this: in numerous case studies you will learn which applications of predictive analytics really create added value; in the Deep Dive lectures you will learn new methods, tools and approaches for your daily work; the keynotes show you new perspectives on current trends and important topics. And finally, you will meet many other experts with similar challenges and can exchange solutions.

Predictive analytics for the finance & insurance industry

At this year's conference we are launching a new format: a lecture series for applied predictive analytics in the finance and insurance industry. This one-day track shows you the most important use cases of Machine & Deep Learning for banks, insurance companies, investors and funds by introducing you to real projects from well-known companies. You will learn how to solve data protection and regulation problems, manage and exploit your data assets with data governance and data strategy, and develop and operate successful data products with data science and analytics.

Focus & industries are:
• Data Engineering & Model Management
• Data Management & Strategy
• Machine & Deep Learning
• Marketing & Sales
• Advanced Marketing & Sales Analytics
• Marketing & Sales
• E-Commerce & Online-Marketing
• Supply Chain & Process Optimization
• Finance & Insurance
• HR & E-Learning

2022 Speakers

Martin Szugat
Founder & Managing Director, Datentreiber GmbH

Prof. Dr. Florian Artinger
Co-Founder, Simply Rational

Prof. Dr. Frauke Schleer-van Gellecom
Director, PwC

Vanessa Gatzen
Customer Relationship Manager, DIE ZEIT

Alexander Steinke
Data Analyst, DIE ZEIT

Anna Kramer
Consultant, Kepler Cannon

Dr. Nina Meinel
Senior Data Scientist, Springer Nature Group

Justin Neumann
Data Scientist, Axel Springer National Media & Tech

Dr. Thomas Wollmann
VP Machine Learning Engineering, Merantix Momentum

Dr. Andreas Stadie
Data Excellence Lead, EnBW

Ayush Patel
Founder, Censius

Dr. Carolin Kaiser
Head of Artificial Intelligence, Nürnberg Institut für

René Schallner
Manager Technology Lab & Senior Researcher, Nürnberg Institut für Marktentscheidungen

Dr. Christoph Best
Senior Data Scientist, Google

Matthias Niehoff
Head of Data & AI / Data Architect, codecentric AG

Rafal Pakoca
Data Scientist, Payback

Jan Binder
Data Science Expert, Payback

Dean Abbott
Chief Data Scientist, Wunderkind

Dr. David Stephenson
Author and Founder, DSI Analytics

Dimitri Visnadi
Data Consultant, Vanalize

Stephan Götze
Team Lead MarTech, ImmoScout24

Kacper Lukawski
Developer Advocate, Qdrant

Julian Stolte
Product Owner Personalization, Volkswagen

Ute Orner-Klaiber
Data Scientist, Smart Digital

Wojtek Kuberski
Co-Founder, NannyML

Ozgur Akarsu
Head of AI & Data Analytics, KocDigital

Fawaz Ghali
Developer Advocate, Hazelcast

Benedetto Cavicchi
Data Project Manager, Evo Pricing

Nicolas Cruces
Marketing Science Partner, Meta

Dr. Tamer Keshi
Head of Data Science, ICT UK

Dr. Anasse Bari
Professor of Computer Science - Director of the AI and Predictive Analytics Lab, New York University

MODERATORS:

Martin Szugat
Founder & Managing Director, Datentreiber GmbH

Frank Pörschmann
CEO, iDIGMA

Dora Simroth
Head of Data Science, Payback

2022 Sponsors

PLATINUM SPONSOR:
• PwC

GOLD SPONSORS:
• MathWorks
• Rapid Miner

PARTNER:
• Datentreiber