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AI & Data Science

2 June 2023
Using AI to support operational compliance: expectations vs reality

Rachid Tahrioui

Artificial Intelligence (AI), Machine Learning (ML) and Robotic Process Automation (RPA) are terms used in the financial sector when it comes to measures for process optimisation, cost and time savings. The demand for the latest technological developments has determined the market for some time. Especially in the fight against financial crime, experts plead for the use of these technologies.
19 January 2022
AI Pontryagin or how neural networks learn to control complex systems
Lucas Böttcher
Optimal control of complex dynamical systems can be challenging due to cost constraints and analytical intractability. In our work, we propose a machine-learning-based control framework able to learn quasi-optimal control signals and steer complex high-dimensional dynamical systems towards a desired target state.
Many democratic societies have become more politically polarized, with the U.S. being the main example. The origins of this phenomenon are still not well-understood and subject to debate. In a recent study, we analysed the mechanisms underlying political polarization using survey data that has been collected by the Pew Research Center from 1994 to 2017.
20 May 2021
Drivers of political polarization in the USA from 1994 to 2017
Lucas Böttcher
6 April 2020
AI for Business: In good times and in bad
Michelle Neumann
Companies worldwide are having very difficult times right now. Due to the spread of the coronavirus and the associated conditions, they are faced with a huge, existential challenge. During this global crisis there are also areas that can use the events as an opportunity, especially in the area of digitalisation.
With the application of data analytics in the fields of economics and business, understanding, selection and preparation of data plays a decisive role to achieve good and valid results.
7 February 2020
The Need for Domain Knowledge in Data Science Programs
Peter Roßbach
18 December 2020
Responsible AI?

Prof. Dr. Sebastian Köhler

In the near future, we can expect such systems to be able to carry out more and more tasks all by themselves. Apart from self-driving cars, it is likely that we will encounter autonomous machines in many places: in warehouses, hospitals, banks, and on the battlefield.
16 March 2020
Technology that saves lives? AI in the fight against coronavirus

Michelle Neumann

Early detection of the signs could bring the turnaround: In China, the Alibaba Group, one of the world’s largest online retailers, used precisely this approach as a starting point – and has now presented an innovation in the early screening of the coronavirus.
16 August 2019
Why I chose the Master in Applied Data Science
Zakariya Abu-Grin
I have always been interested in computers, but I ended up studying petroleum engineering. A main reason for this is that the oil industry was one of few options in my country Libya with international exposure. My dream has always been to have a fast-growing career, work with different people and travel to different countries.
This year I got the chance to participate in the conference for the “Gesamtbanksteuerung 2019”, with the central topics regulation, digitalization, and Artificial Intelligence (AI).
15 July 2019
Is Artificial Intelligence a game-changer for banks?
Matthias Ilg
27 June 2019
Deep Learning: becoming a data scientist and fulfilling your creative potential
Prof. Dr. Florian Ellsäßer
The improvement of deep learning is even more surprising, as previous algorithms had only made gradual progress for many tasks where it had excelled.
The analytical thought process and decision making, cultivated in me over 3 years of professional experience in analytics has been instrumental in my success. However, to upgrade and explore in the multi-disciplinary sphere of data, pursuing a master in data science was my obvious choice.
29 March 2019
Gamification in the Master in Applied Data Science
Nupur Kulkarni
19 September 2019
Nowcasting Inflation: Machine Learning to resolve the classification challenge?

Lukas Henkel

Understanding inflation dynamics is crucial for the conduct of monetary policy. However, official inflation statistics are published only with a time lag. Hence, central bankers are interested in “nowcasting” inflation, among other variables. Nowadays we have data on prices of individual products posted every day on the internet.
10 July 2019
The most sought after profession: Data Scientist

Prof. Dr. Florian Ellsäßer

It is important to update knowledge of the existing workforce as a data scientist in companies. Regardless of this lack of “human-like” cognitive intelligence, there are a great number of potential applications. Find out about educational programmes.
29 January 2019
From Biology to Applied Data Science
Theresa Pareno
The rapid development of technology has impacted almost every industry and almost all scientific fields. It is one of the catalysts in the biggest innovation from science to business. From editing a human embryo and growing an organ from a stem cell for donations to making medical robots that are 1000 times smaller than a human hair to suffocate tumors and potentially storing the data in our DNA. All of these are just examples of how far one field can go through the aid of technology.
Machine Learning has a very simple definition but its application can literally be a game-changer for many companies. With the advent of the blockchain, artificial intelligence and data analytics technologies
9 April 2018
When Machines Talk: Machine Learning and Analytics permeate into the finance market
Prateek Shukla
Using AI to support operational compliance: expectations vs reality
2 June 2023
Rachid Tahrioui
AI Pontryagin or how neural networks learn to control complex systems
19 January 2022
Lucas Böttcher
Drivers of political polarization in the USA from 1994 to 2017
20 May 2021
Lucas Böttcher
Responsible AI?
18 December 2020
Prof. Dr. Sebastian Köhler
AI for Business: In good times and in bad
6 April 2020
Michelle Neumann
The Need for Domain Knowledge in Data Science Programs
7 February 2020
Peter Roßbach
Technology that saves lives? AI in the fight against coronavirus
16 March 2020
Michelle Neumann
Why I chose the Master in Applied Data Science
16 August 2019
Zakariya Abu-Grin
Is Artificial Intelligence a game-changer for banks?
15 July 2019
Matthias Ilg
Nowcasting Inflation: Machine Learning to resolve the classification challenge?
19 September 2019
Lukas Henkel
Deep Learning: becoming a data scientist and fulfilling your creative potential
27 June 2019
Prof. Dr. Florian Ellsäßer
Gamification in the Master in Applied Data Science
29 March 2019
Nupur Kulkarni
The most sought after profession: Data Scientist
10 July 2019
Prof. Dr. Florian Ellsäßer
From Biology to Applied Data Science
29 January 2019
Theresa Pareno
When Machines Talk: Machine Learning and Analytics permeate into the finance market
9 April 2018
Prateek Shukla