The sea-change in artificial intelligence over the last few years resulted from a bet, placed in a couple of university and industrial labs a decade ago, that a sleepy line of research could come to life with a lot of data and a lot of computational resources.
The results have surprised even the most ardent supporters, and the subsequent deployments of working AI systems have by turns captivated and alarmed the public. Both the power and limitations of these systems are difficult to appreciate, which is an obstacle to informed public debate and the shrewd use of these tools in business and government.
Nearly all jobs in finance and management will be touched by AI, but relatively few will be completely eliminated. Instead, one should think of tasks being replaced by AI, rather than jobs, which will place a premium on people knowing where and how this technology can be deployed. There are also many societal, ethical, and legal issues that arise, and tomorrow’s business leaders must be attuned to the implications of this technology in these areas.
The Centre for Human and Machine Intelligence, HMI, conducts basic and applied research at the intersection of Artificial Intelligence & Machine Learning, Decision & Social Science, and Finance & Management. Our focus is to develop and advance our understanding of computational systems that augment human capabilities for judgment and decision-making.
The principal aims of the HMI are:
Gregory Wheeler is Professor of Theoretical Philosophy and Computer Science at the Frankfurt School of Finance & Management. Gregory’s research interests in theoretical philosophy and computer science center on reasoning under conditions of uncertainty, with a focus on the foundations of probability, statistics, and machine learning. Learn more.
Florian is Assistant Professor for International Entrepreneurship at the Frankfurt School of Finance & Management. His main interest lies in inference under uncertainty. On the theoretical side his focus has been on research methodology, analyzing the applicability of different philosophical theories such as contrastive explanation and machine learning methods such as Causal Graph Models to management research. Learn more.
Peter is Professor of General Business Administration and Business Informatics, with emphasis on Applied Business Informatics and Information Technology. Learn more.
The opportunities of applying AI and data science in business are abundant. However, to reap the full benefits of working with data science, firms must possess not only technical expertise but also the managerial knowledge how to apply data science/business analytics in relevant business domains. Towards that goal, firms in all industries and sectors are in urgent need for experts who can bridge the gap between technical knowledge and managerial decision making. Our 7-semester programme equips you with exactly these skills and is designed for students who are interested in new and innovative technologies and their application in the business world. Learn more.
Through this concentration, you will learn about digital marketing, how to develop data systems and how to manage companies in a more technologically efficient way. During your studies, you have the option to work at one of our cooperation partners and apply your theoretical knowledge in real-world scenarios. This concentration is for students with a keen interest in IT and data science topics, as well as general business concepts, marketing and entrepreneurship. Learn more.
The MSc in Applied Data Science is a response to the demand from across different industries for business savvy data scientists with the collaborative skills to match. This 4-Semester programme, designed for students interested in applying computational data science to contemporary business problems, equips students with the technical skills, business domain knowledge, and critical judgment to navigate the modern data ecosystem. Learn more.
“Disruption“ belongs to the most used expressions in connection to the rapidly progressing Digitalisation. Applications such as Blockchain and Big Data are already driving the acceleration of business models and processes. Artificial Intelligence and the need to continuously assess its potential and risks are increasingly prevalent in everyday business life at a growing pace.
We help you identify and make the most of new parameters – guiding and supporting you through the many processes of change in seminars, certification courses, workshops and individual coaching sessions.
The recent wave of innovation in Artificial intelligence (AI) has enormous disruptive potential, but there is a decided shortage of professionals capable of harnessing the power of the latest modelling techniques and moving AI from the drawing board into real life. Learn more
As more and more Blockchain based applications evolve, an in-depth knowledge of the underlying technologies is becoming indispensable. Equipped with this knowledge, you can leverage Blockchain opportunities to build your company’s digital future. Learn more
Machine Learning, Disruption, Fourth Industrial Revolution or Blockchain are just some of the terms we encounter in the context of Artificial Intelligence (AI). In order to implement the technology successfully, it is first of all necessary to find out how it can explicitly benefit your company and your customers. Learn more
Frankfurt School’s ProcessLab research center focuses on applied research on process management in the finance industry. A team of researchers from the areas of process management, organizational behavior, and information systems addresses various research questions around on how to manage, improve, and innovate business processes in banks, insurance companies, and other firms from the financial services sector. This does also involve the utilization of new digital approaches and technologies, such as process mining/analytics, process robotics, or blockchain.
The ProcessLab does also organize the annual ProcessLab conference, one of the largest German industry events on process management in the financial industry; this year’s conference theme is “From Digital to Smart Processes – Analytics, Robotics, and Artificial Intelligence”.