Together with our technology partner deepset, we presented our solution in the plenary and in a roundtable. If you are interested, you can request the presentation slides from us. We also used the time to watch many talks ourselves and talk to participants. We noticed the following:

• Large companies are now using Gen AI in many cases. They are often helped by decades of experience with AI applications such as machine learning and data analysis.
• In addition to personal assistants (more or less elaborate chatbots), chatbots for internal and external questions as well as RAGs for evaluating documents are widely used. Furthermore, many marketing departments make extensive use of generative AI for presentations, videos, etc.
• Developing and operating Gen AI applications is costly. There are capacity bottlenecks in IT, but especially in the specialist departments, which have to be integrated extremely intensively, especially with Gen AI.
• The speed of innovation is unanimously estimated to be extremely high. Almost all of them observe that the gap between what is technically feasible and what can be implemented in practice is widening.
• Truly highly scaled applications that take over more complex tasks or even entire processes in a company are still very rare.
• The legal situation is very complex. Large companies invest a great deal to make their applications (reasonably) legally secure.
• Gen AI is a must, not an option. It is consistently recommended to select a few use cases and implement them as quickly as possible.