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The Convergence of Distributed Ledger Technology and Artificial Intelligence Exemplified by the Lending Process (Part 3)

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In the first two contributions to this three-part series, we have shown that the simultaneous use of distributed ledger technology and artificial intelligence can improve today’s lending process in many ways. However, the lending process is only one of many processes that can potentially benefit from the merging of DLT and AI. In the following we have compiled the process characteristics that indicate that a process leads to the convergence of the two technologies and can therefore be optimized by them.

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The Convergence of Distributed Ledger Technology and Artificial Intelligence Exemplified by the Lending Process (Part 2)

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Technological convergence means that two or more technologies merge into a single system that is more powerful than each of the technologies individually. Since AI and DLT are technologies that have some opposing characteristics (e.g., centrality vs. decentralization; transparency vs. black box), the two technologies complement each other and can compensate for crucial weaknesses of the other. Since the lending process is one of the main processes in the banking business and involves both communication and data analysis (AI) and the transmission of sensitive data (DLT), it is ideally suited for a practical examination of both the prerequisites and the effects of technological convergence.

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The Convergence of Distributed Ledger Technology and Artificial Intelligence Exemplified by the Lending Process (Part 1)

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The distributed ledger technology (DLT) and artificial intelligence (AI) are two promising technologies that are at the top of their hype cycle. Scientists assume that the convergence of the blockchain, the Internet of Things (IoT) and artificial intelligence offers considerable opportunities, such as accelerating the pace of service, process and business model innovations. However, the information available in the current literature and research on how such an integration could be implemented in practice is still sparse. Over the next week, this series of articles will explore how specific elements of DLT and AI can be combined to achieve potential technological convergence, and what significance this convergence has for the lending process.

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Technostress – The Dark Side of the Increasing Use of Information and Communication Technologies

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The economy and society in general have benefited greatly from increasing digitization and access to ICT. However, this development also has its downsides. In recent years, both scientific studies and practical reports have increasingly pointed out that the use of ICT in both private and organizational contexts can lead to strong stress perceptions among the respective users. This specific form of stress is called technostress. This blog post explains the causes and effects of technostress and suggests measures companies can take to minimize technostress for their employees.

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How Does Artificial Intelligence Change the Business Models of the Financial Industry? (Part 2)

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In order to position itself in the FinTech market with an AI-based application, a company needs a deep understanding of the AI FinTech market, i.e. both the existing applications and the business models that have developed around these applications. In the first part of this blog post, we used the AI Application Taxonomy, a tool to describe the properties of an AI application in more detail, to analyze a total of 79 AI applications from 75 FinTechs and to identify four overarching application archetypes. In the second part, we now focus on the business models within which these applications are used and the resulting positioning options for financial institutions.

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All, Ecosystems, technologies

How Does Artificial Intelligence Change the Business Models of the Financial Industry? (Part 1)

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Assessing the strategic opportunities that the use of Artificial Intelligence (AI) provides a company with requires a sound understanding of AI-based applications. Such an understanding includes not only knowledge of the possible functionalities of AI-based applications (Dietzmann & Alt, 2020), but also knowledge of the characteristics that describe these functionalities in more detail (e.g. the speech input for the speech recognition functionality can be received as an acoustic signal or be available digitally in the form of a video). Combined, these two aspects enable a detailed analysis of existing AI-based offerings, on the basis of which positioning opportunities vis-à-vis competitors in the target market can be identified. The Competence Center Ecosystems has therefore not only developed the periodic table of artificial intelligence but also the “AI Application Taxonomy”, which contains the currently observable characteristics of AI-based applications. In the current and first part of the blog post we introduce the taxonomy and then analyze a sample of European AI FinTechs.

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The State of the Art in Artificial Intelligence – Impressions from HICSS 2020

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Scientists are people who work theoretically, are very correct and often withdrawn – so the widespread impression. Far from it, as I was able to experience at the 53rd Hawaii International Conference on System Sciences (HICSS): From a keynote on “bullshit” in the scientific literature to findings on artificial intelligence (AI) in game development and the future of work, exciting, very diverse and above all very practice-oriented topics were addressed. In the following I give a short summary.

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Free Webinar: Investing in Tokenized Assets – Emergence of a New Assets Class for Asset Managers

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The Business Engineering Institute St. Gallen and the Frankfurt School Blockchain Center cordially invite you to a virtual panel discussion on May 20th where landmark companies in the blockchain space discuss the outlook for crypto assets as an alternative asset class as well as forthcoming market developments.

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Structuring Open Business Capabilities – A Structuring Approach for API Initiatives

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APIs represent an important component of the digital transformation towards networked business models. This inevitably raises questions: Do I start by providing an API developer portal or an overall strategy? Which infrastructure components should be used and to what extent should I provide central guidelines? How can I prioritize possible activities? The “API House of Digital Business” provides assistance in answering these questions.

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Reflections on the Future of Swiss Banking

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The financial sector is currently facing one of its biggest challenges with the Corona pandemic: A collapse in economic growth, high unemployment, credit defaults and volatile stock markets. Furthermore, the old problems such as pressure on margins, increasingly intense competition, the shift of the customer interface towards innovative fintechs and the ubiquitous digitalization have not yet been solved. These developments challenge traditional business models of local banks, but also offer opportunities for those who are willing to change or reinvent themselves.

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Are we heading for a happy society?

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In a few years’ time, new or further developed sensors in smartwatches will not only record the wearer’s movements, but also their heart rhythm and breathing as well as their stress levels via measuring their skin surface tension. Around the world, thousands of developers are working on the new possibilities, hundreds of investors are evaluating the economic potential, and millions of consumers are waiting for the new gadgets. Will intelligent machines such as smartwatches with such capabilities bring us one step closer to a happy society?

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[Event] Crypto Meets Banking: How to Blockchain-Enable the Financial Sector?

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Crypto Meets Banking: How to Blockchain-Enable the Financial Sector? On January 20, 2020, we will discuss this question at an event hosted by the Frankfurt School Blockchain Center and by BEI St. Gallen. We think it is now clear that blockchain, crypto assets and DLT have made their way, will not fade away and will revolutionize the financial sector. The question therefore is how to blockchain-/crypto-enable existing banks and financial institutions.

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