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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.
28 November 2023
Auditing with intelligent co-pilots: Generative Artificial Intelligence in Audit
Marco Schreyer
The use of artificial intelligence (AI) in auditing is increasingly providing valuable support for auditors in a wide range of audit procedures. Currently, the application still extends to supposedly basic tasks, but in the future, the co-piloted auditing paradigm will increasingly transform the application of artificial intelligence in auditing practice.
So unspektakulär und ‚nicht neu‘ Sprachmodelle manchen Eingeweihten erscheinen oder tatsächlich sein mögen, sind die im November 2022 mit der Veröffentlichung von ChatGPT losgetretenen Disruptionswellen nicht kleinzureden.
5 October 2023
ChatGPT zwischen Hype und Fakt: Ein Erfahrungsbericht
Arsenije Bogdanovic
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
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.
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
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
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.
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
Using AI to support operational compliance: expectations vs reality
2 June 2023
Rachid Tahrioui
Auditing with intelligent co-pilots: Generative Artificial Intelligence in Audit
28 November 2023
Marco Schreyer
ChatGPT zwischen Hype und Fakt: Ein Erfahrungsbericht
5 October 2023
Arsenije Bogdanovic
Responsible AI?
18 December 2020
Prof. Dr. Sebastian Köhler
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
Technology that saves lives? AI in the fight against coronavirus
16 March 2020
Michelle Neumann
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
Nowcasting Inflation: Machine Learning to resolve the classification challenge?
19 September 2019
Lukas Henkel
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
The most sought after profession: Data Scientist
10 July 2019
Prof. Dr. Florian Ellsäßer
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