AIgorithm of artificial intelligence handles claims
The role of artificial intelligence should not be to find for us a 'needle in a haystack',
but to support us in the process of cleaning the haystack of its components to such an extent that we ourselves are better able to spot this "needle".
An application supported by artificial intelligence, which is integrated into e-mail accounts, recognises whether the content of an e-mail sent is a complaint, retrieves the content of this complaint and forwards it automatically to the ERP systems for further processing.
We use artificial intelligence models in accordance with the latest state of knowledge.
The technology used: recurrent neural networks (LSTM)
Technologies used to create, train and implement the networks were:
Python, Keras, TensorFlow, NLTK, Pandas
When working on innovative projects, we use solutions that allow us to test the most risky assumptions. During the work we used the PoC phase to ensure that the proposed solution would meet its objectives. This phase of work provided data on the basis of which it was possible to prepare conclusions about the state of the solution, the scale of the intended benefits that can be delivered to people and the company, and key performance indicators.
AI solutions require continuous training and improvement or continuous data collection, knowledge development and learning. This is done by creating a feedback loop where new data provided to the application is used by the application to further learn and improve performance.
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Information technology has turned from a service to business into its foundation. We build digital competences in the area of your interests and help you find new models for your business. It's our mission
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