adesso Blog

Industries

18.04.2025 By Sina Barghidarian and Hannah Fischer

Efficient text processing in the insurance industry

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The insurance industry faces the challenge of efficiently processing large volumes of text-based documents. These often unstructured documents require time-consuming manual processing, which ties up resources. Technologies such as Large Language Models (LLMs) offer new automation possibilities. This blog post explains how RAG systems can help to save costs, increase efficiency and minimise errors.

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Industries

The Speaking Machine use case is a GenAI showcase. The integration into the com2m smart product platform is designed to provide users with a helpful AI assistant whose tasks include the following areas: querying data such as assets, data points or messages, interpreting data and providing support with troubleshooting. In this blog post, I would like to present the technical details of this showcase.

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Industries

07.04.2025 By Ivo Bielkin

A new approach to daily sickness benefits

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Applying for sick pay is often a cumbersome and paper-based process, but it could be so much easier! A well-designed digital solution can eliminate unnecessary forms, double entries and long processing times. In this blog post, you will learn how modern technology is revolutionising the process and making life easier for both policyholders and insurance companies.

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Industries

31.03.2025 By Philipp Chaikevitch

Usability engineering for patient apps

Picture Philipp Chaikevitch

Digital innovations are changing the healthcare system – but real improvements will only come about when technology can be operated intuitively. The University Hospital Bonn (UKB) and adesso have developed the ‘Mein UKB’ app to support patients and their relatives in their day-to-day hospital life. Read on to find out how user-centred design facilitates access to digital services and what role usability engineering plays in this.

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Industries

26.03.2025 By Matthias Zurth and Kevin Ludwig

Successful migration to SAP S/4HANA

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Many life sciences companies are faced with the challenge of adapting their custom code to the requirements of SAP S/4HANA. Which custom developments are still needed? Which ones can be switched off or modernised? And how can the SAP Business Technology Platform (BTP) be used optimally? This blog post provides the answers.

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Industries

12.03.2025 By Matthias Zurth and Kevin Ludwig

Life Sciences: Innovation and compliance with SAP BTP governance in line

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SAP remains the leading standard in the life sciences industry – especially when it comes to the transformation to S/4HANA. SAP Business Technology Platform (BTP) is gaining in importance. Without well-thought-out BTP governance, there is a risk of shadow IT, high costs and compliance risks. In this blog post, I show how companies can establish effective BTP governance to ensure innovation, efficiency and GxP compliance.

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Industries

Energy suppliers are faced with the challenge of managing complex supply chains and optimising costs. With intelligent cloud data platforms, AI-supported analyses and automated purchasing processes, they can secure decisive competitive advantages. Find out how this works in practice and what success stories are available in our latest blog post – to coincide with our appearance at the EUROPEAN ENERGY Supply Chain Summit 2025 in Berlin.

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Industries

How can the development of medical devices be made easier and more efficient in a world of strict regulations and high safety requirements? The key lies in a strong partner: the ALM tool codeBeamer. This blog post shows how codeBeamer overcomes the challenges of medical technology. Learn practical insights, best practices and tips for project success.

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Industries

11.12.2024 By Anastasiia Kalmykova and Alexander Blattmann

Hybrid knowledge agents in insurance companies

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Modern insurance companies are increasingly relying on knowledge agents to provide their employees with quick access to comprehensive expertise and answers to complex questions. But how can this be done without compromising data protection? A hybrid approach could be the key: external AI models are used for question processing, while sensitive data is processed internally only. Find out more in our blog post.

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