Programm 2020
16.- 17. November 2020 - Virtual

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Alle Zeiten sind Central Europe Time (CET/UTC+1)

Montag, 16. November 2020

Montag

Mo

09:00

Montag

Mo

09:10

Montag, 16. November 2020 09:10

How Machine Learning Helped RTL to Become a Streaming Broadcaster

Sprecher: Karin Immenroth, Chief Data&Analytics Officer, Mediengruppe RTL Deutschland GmbH

Montag

Mo

10:05

Montag, 16. November 2020 10:05

How to Build a Media Mining Platform at Speed of Light

Sprecher: Christian Gilcher, CTIO, DDG AG

Montag

Mo

10:50

Montag, 16. November 2020 10:50

Engagement: Speed Networking

Montag

Mo

11:20

Montag, 16. November 2020 11:20

11:20: Signature Code – Increasing the Effectiveness of Advertisement Spots with Artificial Intelligence at RTL

Sprecher: Dr. Marc Egger, Head of Data Science, Mediengruppe RTL Deutschland, Data & Audience Intelligence

12:00: How to Classify News Articles at Scale for Upday

Sprecher: Malgorzata Adamczyk, ML Engineer, Axel Springer AI Helena Peña, Data Scientist, Upday

Montag, 16. November 2020 11:20

Accounting of Data & Transfer Prices

Sprecher: Dr. Angelica Maria Schwarz, Lawyer, Bär & Karrer

Montag, 16. November 2020 11:20

Two-Layer Approach to Combine Artificial and Human Intelligence When Labeled Data Is Scarce

Sprecher: Dr. Vlad Ardelean, Senior Data Scientist, GfK

Montag

Mo

13:00

Montag, 16. November 2020 13:00

13:00: How Did Predictive Analytics & Attribution Help Fingerspitzengefühl To Optimize Cross-Channel Marketing Campaigns

Sprecher: Dr. Alwin Haensel, Founder and Managing Director, Haensel AMS Juan Camilo Garzon Beltran, Head of Operations, Fingerspitzengefühl

13:30: Ad Optimization with Multiple Data Sources and Predictive Analytics for Fandom

Sprecher: Andrzej Łukaszewski, Data Analyst, Fandom Dorota Mierzwa, Data Analyst, Fandom

Montag, 16. November 2020 13:00

Stock Price Prediction and Portfolio Optimization Using Recurrent Neural Networks and Autoencoders

Sprecher: Julian Quernheim, Senior Data Scientist, mVISE AG

Montag, 16. November 2020 13:00

Model-agnostic Black-Box Enlightening with SHAP

Sprecher: Prof. Dr. Steffen Wagner, Lead Data Scientist, INWT Statistics

Montag

Mo

14:10

Montag, 16. November 2020 14:10

14:10: Risikoerkennung bei Werbekunden von Zeitungsverlagen am Beispiel von Schwäbisch Media

Sprecher: Dr. Steffen Ehrmann, Chief Data Officer, Schwäbischer Verlag Dr. Tobias Ziegler, Data Scientist, Schickler Unternehmensberatung

14:50: Churn Prediction Model and Deployment for Newspaper Subscribers for Mittelbayerischer Verlag

Sprecher: Andreas Wöhrl, Data Analyst, Mittelbayerischer Verlag KG Dr. Ole Martin, Senior Data Scientist, Schickler Unternehmensberatung

Montag, 16. November 2020 14:10

How to Remove Bias and Make Machine Learning Models Fair & Discrimination-Free at the Example of Credit Risk Data

Sprecher: Sray Agarwal, Associate Director Data Science and Analytics, Publicis Sapient

Montag, 16. November 2020 14:10

Daily Data Fusion at German Internet Scale – Predicting Sociodemographic Data with a Constantly Changing Architecture

Sprecher: Dr. Markus Eberl, Senior Director Analytics Practice, Kantar Attila Görög, Senior Consultant Data Science, Kantar

Montag

Mo

15:35

Montag, 16. November 2020 15:35

15:35: Subscription Probability Prediction for Traditional Publishers

Sprecher: Dr. Tim Hasenpusch, Business Lead, Digitl

16:15: Scaling Data to All Sides of E-Commerce Business - The Journey of Chrono24 to a Data-Driven Company

Sprecher: Dr. Tillmann Grupp, Director Data, Chrono24

Montag, 16. November 2020 15:35

Machine Learning & Financial Data: Fixing Up the Marriage

Sprecher: Oleksandr Honchar, CTO and Founder, Neurons Lab

Montag, 16. November 2020 15:35

An Agile Approach to Data Science Product Management

Sprecher: Benjamin Ziomek, CTO, Actuate

Montag

Mo

16:55

Montag, 16. November 2020 16:55

Sometimes Algorithms Matter: When to Bring out the Big Guns

Sprecher: Dean Abbott, Chief Data Scientist, Abbott Analytics

Dienstag, 17. November 2020

Dienstag

Di

09:00

Dienstag

Di

09:05

Dienstag, 17. November 2020 09:05

How to Scale Data Function in a Fast-Growing Organization? Learnings from HRS

Sprecher: Dr. Sébastien Foucaud, Member of the Board, SBSF Consultancy

Dienstag

Di

10:10

Dienstag, 17. November 2020 10:10

10:10: NLP-based Customer Service Automation at Scale for the Quality Carrier Hapag-Lloyd

Sprecher: Adrian Baetu, Team Lead AI, Hapag-Lloyd Sebastian Nichtern, Senior Data Scientist, Ginkgo Analytics

10:50: Natural Language Processing for Optimal User Experience at gominga

Sprecher: Andreas Franz, Data Scientist, DieProduktMacher Christian Driehaus, Co-Founder, gominga

Dienstag, 17. November 2020 10:10

10:10: Why Don’t People Pay? Revolutionizing Debt Collection with Machine Learning and Behavioral Science for Creditreform

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

10:50: How Corona Changes Machine Learning, Human-Machine Relationships & Business Cases - Learnings from Debt Collection Prediction at Euler Hermes

Sprecher: Tom Alby, Chief Digital Transformation Officer, Euler Hermes

Dienstag, 17. November 2020 10:10

Adding Machine Learning to Search for Better Results, More Conversions and Happier Customers

Sprecher: Samay Kapadia, Data Scientist, Delivery Hero

Dienstag

Di

11:30

Dienstag, 17. November 2020 11:30

Roundtable Discussion

Sprecher: Dr. Christian Schäfer, Head of Data Science, Dept Data & Intelligence Dr. Timo Böhm, Data & Cloud Engineer, Codecentric Tom Alby, Chief Digital Transformation Officer, Euler Hermes Prof. Dr. Sven Crone, Lecturer, CEO and Founder, iqast Cecilia Floridi, Managing Director, DataLab. Norbert Wirth, Global VP Data, Payback

Dienstag

Di

12:45

Dienstag, 17. November 2020 12:45

How AI Is (Not) Changing Forecasting & Demand Planning

Sprecher: Prof. Dr. Sven Crone, Lecturer, CEO and Founder, iqast

Dienstag

Di

13:40

Dienstag, 17. November 2020 13:40

13:40: Improving Sales Forecasting for Unilever Through Deep Learning based Object Detection for Ice Cream

Sprecher: Rohit Agarwal, Chief Data Officer, Mobisy Technologies

14:20: Finding the Needle in the Haystack: GfK’s Journey from Manual Checks to Automated Quality Tracking

Sprecher: Lisa Maag, Data Scientist, GfK

Dienstag, 17. November 2020 13:40

13:40: Behavioral Fraud Detection for Credit Card Transactions at YapiKredi

Sprecher: Dr. Günther Hoffmann, CEO, LexaTexer - Enterprise AI

14:20: Proactive Regulation powered by Machine Learning with Anomaly Detection

Sprecher: Thomas Kampioni, Director of Information Technology, The Law Society of British Columbia

Dienstag, 17. November 2020 13:40

Summarizing Large Texts – a Deep Dive into NLP with Bidirectional Encoders

Sprecher: Nataliia Kees, Data Scientist, qdive

Dienstag

Di

15:05

Dienstag, 17. November 2020 15:05

15:05: Malt Yield Forecast for Bitburger: a Toolbox for Data-Driven Brewing Optimization

Sprecher: Mina-Lilly Shibata, Research Data Scientist, RapidMiner Josef Kimberger, Project Engineer Data Science, Bitburger Braugruppe

15:45: The Digital Advantage of BILD: Sales Impact's Journey of Predicting Germany's Largest Newspaper's Demand

Sprecher: Justin Neumann, Data Scientist, Axel Springer National Media & Tech

Dienstag, 17. November 2020 15:05

15:05: Challenges & Best Practices in Building & Deploying Data Products at Helvetia

Sprecher: Julia Brosig, Senior Data Scientist, qdive Christian Müller, Senior Data Scientist, Helvetia Insurance

15:45: From Data to Connected Context: How Allianz & Other Insurances Amplify Data to Finally Serve Their Own Customer

Sprecher: Dr. Nina Meinel, Senior Data Scientist, Springer Nature Group

Dienstag, 17. November 2020 15:05

How to Estimate the Impact of TV Commercials on a Website

Sprecher: Dr. Christian Schäfer, Head of Data Science, Dept Data & Intelligence

Dienstag

Di

16:25

Dienstag, 17. November 2020 16:25

Will Ethics Kill the Predictive Analytics Star?

Sprecher: Matthias Spielkamp, Executive Director, AlgorithmWatch

Alle Zeiten sind Central Europe Time (CET/UTC+1)
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