Together with our technology partner deepset, we presented our solution in the plenary session and at the roundtable of the 2nd Generative AI DACH Conference. If you are interested, you can request the presentation slides from us. We also used the time to watch many presentations and speak with participants. We noticed the following:
- Large companies are now using Gen AI in many ways. 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 the evaluation of documents are widely used. In addition, many marketing departments are making intensive use of Generative AI for presentations, videos, etc.
- The development and operation of Gen AI applications is complex. Capacity bottlenecks exist both in IT and, above all, in the specialist departments, which have to be involved extremely intensively, especially in the case of Gen AI.
- The speed of innovation is unanimously regarded as extremely high. Almost everyone observes 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 the company are still very rare.
- The legal situation is very complex. Large companies invest a lot to make their applications (reasonably) legally compliant.
- 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.
