AI-driven search of enterprise data.
With Watson Discovery, company data is searched using modern AI to extract information. On the one hand, the AI uses already trained methods to understand texts. On the other hand, it is constantly being developed through new training on the company data, its structure and content, thus constantly improving the search results.
Extracting knowledge from enterprise information silos.
An incredible amount of information is hidden in corporate data silos – information and knowledge that can be used for search, analysis and to support operational processes. Watson Discovery makes large amounts of data searchable in a short time and recognizes the structure and content of documents. By optionally embedding IBM Watson Discovery in Watson Knowledge Studio defined and learned models based on enterprise knowledge domains, Watson Discovery becomes a subject matter expert and can answer queries in an even more targeted manner.
Watson Discovery can serve as a backend for chat bots to provide automated information or can serve as an analysis interface to show correlations in texts or give hints on outliers.
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Definition of the use case
Our procedure is determined by the approach of first identifying the concrete use cases and challenges – technical and functional – with different workshops. Afterwards, the procedure and the selection of solution components are defined.
Identifying the effort
In the spirit of an agile project approach, it has proven useful to first create an "MVP" (Minimum Viable Product), which can be used to determine not only the technical feasibility, but also the technical effort required.
Know-how and expertise
We support our customers through broad know-how, intensive partnership with manufacturers and project experience.
Benefit from IBM Watson Discovery:
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