Identification and prioritsation of data sets. Selection of unbiased and actionable data. Importance of the cloud. Data driven decision making. Continuous improvement – closing the loop. Measurement and monitoring success.... Read More
Development with a long history and acceleration since ChatGPT. Humans and machines – hand in hand: Success factors for AI in investment decisions in capital markets. Can the success story... Read More
Business model transformation. From technical products to engineering and financial services. Digitalization of products is a pre-requisite for our new business models.
AI in pharma innovation. Efficient use of hybrid AI systems. Combination of AI and Industry 4.0. Use Case: Combining ChatGPT with knowledge graphs and RAGs for clinical and/or industrial process... Read More
D&A capabilities / people / operating model. Automated platforms driven by data insights. Data model and data solutioning architecture. Data literacy for digital transformation at scale. Data as a product... Read More
Transformation++: Using AI beyond knowledge retrieval Transform our cloud strategy? Business case of the foundational model. Democratization of AI via EdgeAI models. Our learnings at ZF so far.
Insights into creating an award-winning 4.0 solution ecosystem for an agri-machinery OEM. Overcoming challenges and bridging cultural divides between traditional operations and a forward-thinking solution division. Lessons learned from a... Read More
Maximilian von Loebbecke , University of St.Gallen & CLAAS