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AI & Data Science

6 March 2024
Researching the Impact of AI on the Future of Work

Moritz Strube

While some are optimistic about the transformative power of AI on the world of work and the economy, empirical data urges us to be cautious. The future of work and the impact of automation remain open topics that are influenced by a variety of factors, including technological developments, economic structures and political decisions.
31 October 2024
Treat or threat: Can Artificial intelligence really help close the ESG Data Gap?
Mathilde Bossut
Artificial Intelligence and Machine Learning have made their way into every aspect of our work life. By showing an incredible ability to identify complex data patterns, AI bears the promise of simplifying and improving daily business operations and has multiple implications in finance. So, what can we expect in the field of sustainable finance?
There's something magical about early-stage startups that reminds me of the Flammarion engraving. I’ll tell a short tale of just one such project: Ceres FieldCheck – to answer a single question: how & when does an idea turn into a startup?
6 May 2024
Turning Ideas into Impact: The Case of Ceres FieldCheck
Svyatoslav Gusev
24 April 2024
Cooperation Company Project: A Journey Through Retail Location Analysis
Rhushikesh Bhosale
In the fast-evolving domain of retail, the adage "location, locality, area" has never lost its significance. However, determining the optimal spot for a new retail outlet involves a complex interplay of data analysis, artificial intelligence, and a deep understanding of urban geography.
Embarking on a Master's in Applied Data Science at Frankfurt School has been a transformative journey, intertwining rigorous academic work with real-world professional experience. It has been a journey of growth, learning and self-discovery. It’s a challenging yet rewarding path that has taught me the importance of resilience, time management and strategic planning.
14 February 2024
Balancing work and study as a Master in Applied Data Science student
Christian Nikolov
12 January 2024
Digital Transformation and AI: A road map for industries and tech firms

Srinivasa Pappala

In an era marked by rapid technological advancements, industries and tech companies find themselves at the crossroads of evolution. The fusion of Digital Transformation (DT) and Artificial Intelligence (AI) has emerged as a game-changer, offering unprecedented opportunities for growth, efficiency and innovation.
14 December 2023
VR glasses in education: Transforming teaching and learning experiences

Manuela Zehe

Virtual reality (VR) is one of these pioneering technologies that has found its way into a wide range of industries, including education. The integration of VR headsets into the educational landscape is changing how pupils, students and teachers interact with content. Learning is becoming more interactive and immersive than ever before.
8 January 2024
Venturing into new dimensions: Virtual collaboration in 3D spaces
Ivana Galic
With the advancement of transformative technologies, the boundaries between digital and analog are becoming increasingly blurred. Immersive experiences are on the rise due to the growing interest in the "Metaverse" – not only for gaming and entertainment but also for collaboration in groups and teams.
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.
28 November 2023
Auditing with intelligent co-pilots: Generative Artificial Intelligence in Audit
Marco Schreyer
5 October 2023
ChatGPT zwischen Hype und Fakt: Ein Erfahrungsbericht
Arsenije Bogdanovic
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.
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.
19 January 2022
AI Pontryagin or how neural networks learn to control complex systems
Lucas Böttcher
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.
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.
20 May 2021
Drivers of political polarization in the USA from 1994 to 2017
Lucas Böttcher
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.
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.
6 April 2020
AI for Business: In good times and in bad
Michelle Neumann
Researching the Impact of AI on the Future of Work
6 March 2024
Moritz Strube
Treat or threat: Can Artificial intelligence really help close the ESG Data Gap?
31 October 2024
Mathilde Bossut
Turning Ideas into Impact: The Case of Ceres FieldCheck
6 May 2024
Svyatoslav Gusev
Digital Transformation and AI: A road map for industries and tech firms
12 January 2024
Srinivasa Pappala
Cooperation Company Project: A Journey Through Retail Location Analysis
24 April 2024
Rhushikesh Bhosale
Balancing work and study as a Master in Applied Data Science student
14 February 2024
Christian Nikolov
VR glasses in education: Transforming teaching and learning experiences
14 December 2023
Manuela Zehe
Venturing into new dimensions: Virtual collaboration in 3D spaces
8 January 2024
Ivana Galic
Auditing with intelligent co-pilots: Generative Artificial Intelligence in Audit
28 November 2023
Marco Schreyer
Using AI to support operational compliance: expectations vs reality
2 June 2023
Rachid Tahrioui
ChatGPT zwischen Hype und Fakt: Ein Erfahrungsbericht
5 October 2023
Arsenije Bogdanovic
AI Pontryagin or how neural networks learn to control complex systems
19 January 2022
Lucas Böttcher
Responsible AI?
18 December 2020
Prof. Dr. Sebastian Köhler
Drivers of political polarization in the USA from 1994 to 2017
20 May 2021
Lucas Böttcher
AI for Business: In good times and in bad
6 April 2020
Michelle Neumann