Benjamin works as a Senior Consultant at Business Engineering Institute St. Gallen. He holds a doctorate in the field of blockchain and DLT. After completing his training at one of Germany's largest regional credit institutions, Benjamin worked for several years at a renowned management consultancy. There, his project work focused on the transformation and digitalization of nationally and internationally operating companies in the finance, automotive, logistics, and consumer goods sectors. Benjamin's passions include digital innovation, tennis, and road cycling.

Transformation of the Financial Market Infrastructure in Switzerland: The Role of Stablecoins and Deposit Tokens

Stablecoins and Deposit Tokens are transforming financial market infrastructure and are rapidly gaining momentum in Switzerland. In our latest article, we unpack what these forms of tokenized money mean for payments, settlement, and the broader banking ecosystem.
What truly distinguishes stablecoins from deposit tokens in practice? Which Swiss milestones matter most for moving from pilots to production, and what can we learn from recent bank and industry initiatives? Most importantly, what steps should banks take now on strategy, processes, and technology to stay compliant and competitive?

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Quantum computing in the financial sector: fundamentals, potential and challenges

Quantum computing is seen as a potential revolution in the financial services sector: it promises to handle complex analyses with a level of performance that is not available to traditional computers (Dietz et al., 2020; Bova et al., 2023). Potential fields of application for quantum computing are di-verse and include, for example, portfolio management, risk analysis, corporate finance or customer-oriented analyses (Dietz et al., 2020). Anyone who ignores quantum computing today risks being left behind in the long term. In this blog post, Benjamin Schaefer explains the basics of quantum compu-ting, sheds light on its diverse potential and areas of application in the financial services sector and discusses the associated technological, security-related and personnel challenges.

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Data strategy in connected business models

From 2019 to 2024, the global volume of digital data generated or replicated annually almost quadrupled – a trend expected to persist (Tenzer, 2024). Technology companies are demonstrating how data is being used to generate revenue that often dwarfs physical assets. Neglecting data can put companies at a significant disad-vantage in the future, leaving them behind data-driven competitors. However, many companies do not utilize the majority of their data and face issues such as data breaches and data silos (DalleMule & Davenport, 2017). The key is to develop and implement data strategies. This blog post presents a categorization for data strategies and their relevance for digital companies and banks in particular.

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Are our jobs at risk?

The first part of this blog series described different ways in which AI can affect individual professions. To analyze the impact of AI on the Swiss economic sector, a comprehensive qualitative and quantitative study on the exposure of individual professions to AI was conducted using a task-based view. The second part of this article series summarizes the results of this study and presents implications for policy and management.

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Are Our Jobs at Risk?

As a result of recent developments in the field of AI, the impact of automation on the labor market has begun to be reassessed. Non-routine cognitive or manual jobs, long considered unaffected by previous technologies, are increasingly under threat from self-learning algorithms, leading many economists to argue that this time the impact on the labor market is fundamentally different from other technologies. This blog post describes different ways in which AI can influence the tasks of a profession.

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Research Area Distributed Ledger Technology

The Competence Center Ecosystems of the Business Engineering Institute St. Gallen develops solutions for relevant problems from practice. In the context of this blog post, the overall research goal of the re-search area Distributed Ledger Technology (DLT) is presented. This research goal is to develop a frame-work that demonstrates and supports the methodological approach of DLT implementations to enable companies to adequately address relevant requirements of the implementation process of a DLT.

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