To enhance productivity and customer experience, Festo introduced AI-powered chat applications for intuitive data access. As part of this initiative, the team created the FestoGPT application, similar to ChatGPT, allowing consultants and other customer-facing staff to ask questions of a large language model. Additionally, the Skillground application was introduced, offering colleagues various AI tools, such as text-to-speech and image generation, aimed at simplifying and streamlining tasks.
However, early in the process, integrating Festo’s internal data proved challenging due to data governance and security concerns as well as budget constraints. Despite this, employees expected that embedding Festo’s internal data would be crucial to make these applications truly valuable for their day-to-day work. To meet this need, the team integrated internal data – product manuals, pricing, and technical information – using embeddings and a vector database for unstructured data, alongside structured relational data such as sales figures and product management data.
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