Thanks to artificial intelligence, Theaterholding Graz reaches culture lovers via perfectly personalized recommendations.. The use of artificial intelligence provides deep insights into the customer needs. Energie Steiermark’s digitized customer service increases efficiency and customer satisfaction and reduces customer churn. NLP-based methods focusing on the German language raise customer experience to the next level. Efficiently aggregate and analyze multimodal data of automated vehicles Reducing costs by end-to-end development and manufacturing process Merkur Innovation Lab establishes internal company framework conditions for a sustainable and digitized future. Improving customer satisfaction ensures competitiveness. Saubermacher AG relies on a customized, scalable software solution for optimized route planning of waste transportation. Up to 20 percent less CO2 emissions each year per collected ton of waste. During the production process of galvanized steel sheets, the anode condition has a high impact on quality and costs. Together with Voestalpine Stahl GmbH a predictive hybrid maintenance model was developed which reduces energy costs significantly. Comprehensive simulation and visualization environment for the automotive industry. Software solution reduces cross-divisional supply costs and CO2 emissions. Procedure for automated evaluation of expected property right costs. UnyCom managed to significantly increase forecast accuracy while reducing the maintenance effort for manual valuation rules. The data value check provides solid recommendations for the implementation of data-driven projects in companies. Reval was able to identify optimal AI application scenarios based on facts and minimize risks in the subsequent implementation. Semi-automatic monitoring tool enables start-ups to conduct regular and comprehensive market and technology research. The combination of different data sources provides up-to-date information.