Following a decision by the German Bundestag, the Federal Ministry for Economic Affairs and Climate Protection is funding the further development of the CONTEXTSUITE data analytics platform.
Artificial intelligence has conquered the world. The expectations of AI applications are enormous and they are designed to maximize the productivity of processes. However, for AI to be effectively integrated into businesses, two key principles must be upheld:
1. Explainable AI as a Principle of AI Development
The development of AI models and applications is often a highly technical process conducted behind closed doors in large companies. Many of our long-standing clients in the banking, insurance, and IT sectors report a common issue: business relevance is often overlooked. Typically, specialized departments are only involved in the final stages of development, resulting in AI products that lack real-world utility. Worse still, these solutions provide no transparency about how they work or how decisions are made.
This leads directly to the second crucial principle:
2. Trusted AI as a Prerequisite for use in companies
For many, AI models remain a “black box.” In the age of artificial intelligence, establishing and maintaining user trust in AI-driven systems is critical.
Trust in artificial intelligence is the most important factor for successful implementation in companies. On the one hand, this is about people’s trust in the applications and in the decisions that an application with artificial intelligence makes. This can only be built through the integration of explainable AI mechanisms. Specifically, this involves transparent monitoring of all individual processes, from data preparation and training through to KPIs such as the F1 score, which can be used to monitor and check models. On the other hand, the productive use of AI in a corporate context requires systematic engineering that takes into account important boundary conditions such as data protection, robustness and auditability(read the joint white paper on auditable AI systems from the BSI, Fraunhofer and TÜV here).
European and German authorities have recognized these challenges, with the EU AI Act now setting the regulatory framework. In a clever move to promote AI development in Germany, the Federal Ministry for Economic Affairs and Climate Protection has now once again decided to use ZIM funding to promote the development of trusted AI and explainable AI multilingual NLP models “Made in Germany” – an initiative where MORESOPHY plays a key role.
Artificial Intelligence “Made in Germany”
With CONTEXTSUITE , MORESOPHYoffers a robust and freely scalable platform with which AI models can be developed consistently according to the principles of Trusted AI and Explainable AI. At every stage—from data preparation and training to monitoring results and assessing model quality—the platform ensures transparency and usability for business users. This eliminates media disruptions, removes black-box effects, and fosters confidence in AI-driven decision-making.
The German Federal Ministry for Economic Affairs and Climate Protection has pledged its support to MORESOPHY. The project aims to promote the comprehensible and reliable design of multilingual Natural Language Processing (NLP) models. A core focus of the project is the development of a module that extends the CONTEXTSUITE platform, linking traditional data science KPIs with business performance indicators. This ensures that AI-driven insights directly translate into measurable business impact.
The initiative aims to bridge the gap between data scientists and business decision-makers. On one hand, it helps data scientists design NLP models that align with business needs. On the other, it empowers domain experts to better understand data quality and the effects of AI-driven data processing, enrichment, and analysis—both qualitatively and quantitatively. Large Language Models (LLM) such as ChatGPT, i.e. extremely powerful AI models that have been trained with massive amounts of content, are particularly difficult to understand. With CONTEXTSUITE, you can integrate such LLMs and make them usable on your data – reliably while maintaining full control over your data.
Germany wants Trusted AI
The path to trustworthy and comprehensible artificial intelligence may be complex and challenging – in terms of technology, regulation and competition with the big players based outside the EU – but with the right support and the right partners, German companies are well-positioned to become global leaders in AI innovation. It is not only the power of AI models that is decisive, but also the quality and reliability with which the AI works on the company’s own data.
Artificial Intelligence “Made in Germany” – For a Trustworthy, Sustainable Future!
Want to explore how CONTEXTSUITE can support your AI initiatives? Get in touch with us today!
Project manager
Andreas studied Technology & Media Communication and is primarily responsible for internal and external communication and documentation within the company. This gives him an optimal overview of the various technologies, applications and customers of MORESOPHY.
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