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.
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Miroslav Fokt
Miroslav Fok is an experienced expert in developing AI solutions, specializing in generative AI and its implementation in enterprise environments. At IBM, he helps clients design and implement solutions that leverage AI to achieve greater efficiency. As an IBM Quantum Ambassador, he promotes awareness of quantum technologies and their future applications in the industry. With expertise in large language models (LLMs) and the watsonx platform, he supports organizations in integrating AI into their processes and achieving their strategic goals.
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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.
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