• AI Projects with practical Experience

Projects

Lighthouse AI in Corporate Real Estate

In the company there are data sources whose treasure wants to be lifted. We evaluate processes to achieve an improvement with AI methods.

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Scrap it regularly in the business domain of Tourism

Compensation of errors in signaling data by making the relevance evaluable with alterative measurement (Google waiting times). The approach to realize a data acquisition for Common Data /Frequent Data usage with simple means was born from the necessity of data acquisition.

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"A Stony Road" - Deep Learning Based Approach for Information Extraction with only a few Training Documents

In this article we present an Artificial Intelligence application on information extraction under the paradigm of less training data. In the specific case, data (offers, documents, photos, emails) from the real estate industry were processed. However, the presented solution can also be trained and used for any other information from completely different industries with little effort.

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Transfer Learning with ULMFiT

We use Transfer Learning with ULMFiT especially for our information extraction solutions. The main advantage is the small amount of data required to train the Deep Learning Model. Transfer Learning is one of the most important techniques used in the field of Deep Learning applications today. It is about the transfer of learned knowledge from a general to a specialized AI model.

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Place a document in the business domain of Legal

Filing a document. With this project we show that it is possible to learn documents of different origin and type from a filing system in a secretary's office (default to filing) and to apply it to new documents.

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