events

Joint Spring Conference 2018 of E-Finance Lab and IBM Deutschland

“Data Science in Financial Services”

The E-Finance Lab and IBM Deutschland cordially invite you to the 2018 Spring Conference. The event will be held on the afternoon of February 1st, 2018, at Campus Westend of Goethe-University Frankfurt and present insights from implementations of data science projects in companies such as Schufa and ING DiBa. It will help to understand how the new data-rich environments will help to better realize business opportunities but to also set realistic expectations about what to achieve with a better analysis of data. As in previous years, participation is free of charge and the conference aims at stimulating discussions between the financial service industry, academics, providers and on-going experts of of data-science solutions.

The conference language is German but slides of the presentation can be in English.

It will also have two pre-conference “hands-on” workshops “Data Science in Practice” in which specialists from IBM and researchers will use real-world cases to outline how data science helps to make better decisions and predictions and how to implement such solutions in environments such as R, Python or IBM’s Data Science Experience.

Slides for Download

The slides of the talks are now available for download. Corresponding links are provided in the agenda below.

Photo Gallery Online

Please find some impressions of the conference in the photo gallery.

Conference Details

Date & Time: Thursday, February 1st, 2018; 14:00 - 20:00 (registration from 13:30), subsequent Get Together
Venue: Goethe University Frankfurt, Campus Westend, Casino
Address: Nina-Rubinstein-Weg 1, 60323 Frankfurt am Main, Germany (see directions to the conference venue)

(former address: Grüneburgplatz 1, 60323 Frankfurt am Main)

For inquiries, please contact our organizing team.

Registration

The registration is closed. For any questions please contact our organizing team.

Pre-Conference Program*

Time

 

Agenda Item

11:30-12:00

 

Early Registration

12:00-13:30

 

Workshop 1: Text-Mining with Python and R

Prof. Dr. Alexander Hillert (Goethe University Frankfurt)

[Slides]

Gabriela Alves Werb (Goethe University Frankfurt)

[Slides]

 

Workshop 2: Data Science with R

Steffen Foersch & Prof. Dr. Bernd Skiera (E-Finance Lab, Goethe University Frankfurt)

[Slides]

Sven Hafeneger (IBM Deutschland)

 

Conference Program*

Time

 

Agenda Item

13:30-14:00

 

Registration and Coffee

14:00-14:15

 

Welcome and Joint Introduction to the Conference's Topic

Prof. Dr. Bernd Skiera (E-Finance Lab, Goethe University Frankfurt)

Ulrich Wolf (IBM Deutschland)

14:15-14:45

 

Statistics in Central Banks: With Standardization and Micro Data Orientation to the Central Information Provider

Reinhold Stahl (Director General Statistics, Deutsche Bundesbank)

[Slides]

14:45-15:15

 

Data Science Experience and Watson Data Platform

Thomas Schaeck (Distinguished Enigneer, IBM Deutschland)

[Slides]

15:15-15:45

 

Coffee Break

15:45-16:15

 

Applications of Artifical Intelligence for the Modern Information Service Provider

Dr. Gjergji Kasneci (CTO, SCHUFA Holding AG)

[Slides]

16:15-16:45

 

Data into the New: How Big Data & Advanced Analytics are turning around the Financial Sector

Dr. Andreas Braun (Managing Director, Accenture)

[Slides]

16:45-17:15

 

Proleptic Market Analysis of the German Retail Banking Market

Prof. Dr. Daniel Ringel (UNC Chapel Hill)

[Slides]

17:15-17:45

 

Coffee Break

17:45-18:15

 

Customer Inbound Contacts as Sales Opportunities. Selecting "Next best Action" Proposals at ING-DiBa

Prof. Dr. Martin Schmidberger, ING-DiBa

[Slides]

18:15-18:45

 

Data Science @ Goethe University & E-Finance Lab

Bernd Skiera: Overview on Data Science Activities at Goethe University and the E-Finance Lab

Benjamin M. Abdel-Karim: "Forecasting the S&P 500 Index - A Deep Learning Approach with the Power of Virtual Investing Communities"

[Slides]

Maximilian Matthe: "Does Verbal Information from Earnings Conference Calls Predict Firm Performance? Evidence from the U.S."

[Slides]

Gabriela Alves Werb: "Leveraging Multiple Data Sources to Measure a Firm's Risk in Organic Search"

[Slides]

Alexandra Sattler: "Text Mining in Marketing: Deriving Market Structure from Customer Reviews"

[Slides]

18:45-18:55

 

Concluding Remarks

Prof. Dr. Bernd Skiera (E-Finance Lab, Goethe University Frankfurt)

Ulrich Wolf (IBM Deutschland)

19:00-20:00

 

Get Together

We invite the participants to a dinner in the foyer of the Festsaal

20:00

 

End of Conference

 

*Version: January 22, 2018