accelerateKI

Service-based AI configuration support as an accelerator for AI applications in SMEs (small and medium-sized enterprises).

The potential applications of artificial intelligence (AI) methods can be found in heterogeneous areas, such as process analysis and monitoring, logistics optimization and increasing the degree of automation of business processes. So far, however, these high potentials have been countered by obstacles to the widespread use of artificial intelligence. The main obstacles in SMEs include the great effort involved in collecting and recording data, a lack of experience in statistical analysis and pre-processing and a lack of expertise in the creation and application of data models and AI.

The accelerateKI research project addresses the obstacles faced by SMEs when using artificial intelligence methods by researching and developing service-based and platform-independent AI configuration support. The project aims to significantly increase the applicability of AI algorithms with the aim of reducing the inhibition threshold and development time when using AI in SMEs.

Use Case: Report Assistance

The company AX Semantics has developed a cloud-based software that automatically generates texts in 110 languages from classifiable content and can be used for natural communication with humans. Successful application areas include automated texts for e-commerce platforms or publishers. In the future, this technology is intended to be used in production environments to provide people with targeted information from existing IT systems. Currently, to interpret contextual information from data sources, responsible parties must navigate ERP/MES systems, analyze Excel spreadsheets, or conduct extensive manual research to gain an overall picture of the current situation and, if necessary, identify the causes of problems. Therefore, a chatbot with a configurable AI component is to be implemented, which identifies patterns between internal company data and, if applicable, publicly available data, and presents them in natural language.

Depending on the design of the AI component, Report Assistance can be used, for example, to identify problems in production or assembly processes more quickly, support the selection of the most reliable delivery service or supplier, or forecast incoming orders or returns.

"The combination of automated texts with artificial intelligence has the potential to explain complex matters in a way that is tailored to the target audience. This allows us to inform recipients more effectively and contextually. In the sales process, we are already seeing a reduction in customer inquiries and fewer returns – when applied to the entire value chain, the possibilities are enormous."
Saim Rolf Alkan,
Founder & CEO of AX Semantics