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1

Intelligent Process Decomposition: A Pragmatic Approach to BPMN Generation

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In our previous article, we explained why Large Language Models struggle to generate valid BPMN diagrams. The problems are substantial: structural complexity, context limitations, the gap between knowledge and execution, non-determinism, and layout challenges. But these challenges can be solved. We developed a first prototype, that works with current technology by addressing each limitation systematically. […]

2

Upskilling Business Actors – The Missing Piece in Switzerland’s Deep-Tech Ecosystem

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Switzerland is widely recognized as a leading innovation economy. It performs strongly in international innovation rankings. Notably, it is the world’s most innovative country for the 14th consecutive year in the Global Innovation Index (GII), produced by WIPO. Moreover, Switzerland benefits from a dense concentration of high-quality universities, research institutes, and technology-related talent. Institutions such as ETH Zurich, EPFL, […]

3

Why AI can’t yet generate business process diagrams

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Business Process Model and Notation (BPMN) has become the standard for documenting how organizations work. But creating and maintaining accurate process diagrams requires expertise that many companies simply don’t have. Large Language Models (LLMs) could change this. Describing a workflow in plain language and getting a proper BPMN diagram back. The technology seems ready, but […]

4

How Digital Tools Are Transforming International Market Entry for SMEs

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A Swiss precision tool manufacturer’s expansion to Vietnam illustrates which digital building blocks have become essential for successful internationalisation. From CRM systems and product information platforms to social media strategies, this article examines how small and medium-sized enterprises can leverage digital instruments throughout the market entry process. Ifanger’s precision tools serve the medical technology, watchmaking, […]

5

Decision Intelligence: From Business Predictions to Business Outcomes, Part 2

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Artificial intelligence is now mainstream. According to McKinsey, 78% of firms use it in at least one business function, 71% deploy generative AI, yet over 80% see no effect on enterprise EBIT. Decision Intelligence (DI) may be the missing layer linking analytics to outcomes. This article shows how that link works in practice. The Prediction/Outcome […]

6

The advantages of user-centred prompt engineering for companies

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Prompt engineering plays a vital role in the quality of large language models’ output. The Human AI Learning Systems (HAIS) Lab at BFH has created a structured process that brings user-centred design principles to AI application development. This article presents the method, its application, and the potential of large language models for use that is […]