Seizing Opportunities

Artificial intelligence (AI) is no longer just a topic for the future; it is a key driver of innovation for businesses and scientists. AI-based technologies are transforming processes, opening up new markets and raising efficiency levels in areas such as production, research, administration and trade. An increasing number of SMEs are using AI to work more efficiently and maintain their competitive edge. Popular applications include automated quality controls, intelligent planning systems and chatbots for customer service.

Nevertheless, the situation is mixed. While many companies recognise its potential, they are hesitant when it comes to concrete implementation. In many cases, access to AI technologies is still associated with obstacles: A lack of expertise, inadequate computing resources and uncertainty surrounding implementation are slowing down small and medium-sized enterprises in particular, as well as non-technical departments within the science sector. Furthermore, while large corporations are setting up their own AI departments, SMEs often lack the internal resources to systematically integrate new technologies.

AI is becoming a key success factor

One thing is clear: the pressure is increasing. In the coming years, using AI will not only be a competitive advantage, it will be a prerequisite for survival in the market. Advances in generative AI, improved data infrastructure, and an increasing number of ready-to-use tools are reducing the barriers to entry. AI is becoming more accessible, even for those without an in-house development team. Standardised solutions and specialised service providers are making integration easier than ever.

So, what does this mean for SMEs? Now is the right time to take a strategic look at AI. Rather than waiting for the big breakthrough, it can be sensible to start small with specific, manageable projects. The first step is to identify internal processes that could be streamlined with AI. At the same time, competencies should be developed and employees trained.

Getting started made easy

This is precisely where the wide range of AI services developed at and around the L3S Research Centre can help: These initiatives, projects and tools promote low-threshold access to AI technologies and specifically tap into their potential.

The AI Service Centre KISSKI, for example, is funded by the Federal Ministry of Education and Research and demonstrates how companies and research institutions can receive professional support when getting started with AI. This support covers everything from data analysis and selecting suitable methods to using modern computing infrastructures. All of this support is practical, free of charge and customised.

Similarly, the Mittelstand-Digital Zentrum Hannover assists companies with the practical implementation of AI applications. Examples include sales forecasts, anomaly detection and explainable AI, illustrating how AI can create tangible added value in everyday operations.

AI for industry and trade

The L3S also focuses on transferring AI to specific fields of application. The ReGaP innovation community brings together industry and scientific experts to develop intelligent solutions for more energy-efficient production. Community projects create application-oriented tools and reusable building blocks that combine sustainability with technological innovation.

Skilled tradespeople are also increasingly becoming users of smart technologies. DAISEC (the European Digital Innovation Hub for AI and Cybersecurity) provides practical examples of how AI-based design tools and chatbots can be integrated into operational processes. The combination of creative potential and automated process optimisation shows how digital tools can transform traditional industries — provided they are introduced and operated sensibly and securely.

Quick answers to complex questions

Finally, AI also benefits research itself. The ORKG ASK tool, developed by TIB and L3S, uses large language models in combination with semantic knowledge graphs to transform scientific literature research. ORKG ASK provides answers to scientific questions based on 80 million indexed specialist articles, summarising the most relevant work in a concise manner. As a result, researchers receive answers to complex questions more quickly and can better categorise them in an interdisciplinary context. The next goal is to develop an intelligent, AI-based research assistant to support all phases of scientific work, from brainstorming and method development to publication. In addition to publications, this assistant will have access to research data and subject-specific tools, enabling them to provide comprehensive support for researchers’ work.

Broad expertise for many target groups

The projects and platforms presented demonstrate that AI is not the exclusive domain of large technology companies. Targeted service offerings, expert advice, and open innovation formats make AI accessible to a wide range of sectors and target groups. With its extensive knowledge and expertise, the L3S research centre is playing a key role in ensuring the successful transition from idea to practical application. This strengthens Germany as a business location and promotes scientific excellence and innovative capacity in the long term.