The SZIF is an excellent example of this in that we have created an artificial intelligence assistant to help internal staff, in particular, to navigate complex topics such as the implementation of satellite land monitoring based on which subsidies are paid. This was the primary and very general example of where Gen AI helps. However, our solution is not just for internal employees of SZIF, the system learns using AI and creates a system of questions and answers that are verified/checked by the employee and that are/will be exposed as a whole to 10,000 farmers. It learns new questions/answers by itself, and a single expert always verifies that the AI has compiled it correctly, and then this and similar questions run without the help of this expert for all farmers.
Sign in to Autumn ITAPA 2024
Miroslav Fokt
Martin Ryšánek
Martin Ryšánek has been working at IBM for ten years, held the position of technical sales consultant for the field of data analysis and AI applications, and now in the position of watsonx Architect, he focuses mainly on the expansion of solutions based on language models using the IBM watsonx platform for key customers, including state administration.
See more info about the speaker